Globus World ‘22 takes place on May 10 and 11 in both 3D (in person in Chicago) and 2D (virtual attendance). Ian will co-present the keynote at 9:00AM (Central) on May 10 and Kyle will co-present “Shaping the Future: To Globus Compute and Beyond!” at 4:00PM. [May 08, 2022]

Student researchers Jim and Nathan along with Marcus, Ben and Ian co-authored “3D Convolutional Neural Networks for Dendrite Segmentation Using Fine-Tuning and Hyperparameter Optimization.” Pre-print is available on Arxiv with journal publication to follow. [May 04, 2022]

Ian co-authored "Efficient high-dimensional variational data assimilation with machine-learned reduced-order models" which appears in [_Geoscientific Model Development_]( [May 03, 2022]

Kyle gave a Presentation on Parsl at Indico. [May 03, 2022]

Tyler Skluzacek will start a new position as a Research Scientist at Oak Ridge National Laboratory this summer. Congrats Tyler! 🎊 [May 02, 2022]

Tyler Skluzacek will defend his thesis “Automated Metadata Extraction Can Make Data Swamps More Navigable” on May 20th. 🎉 [May 02, 2022]

Globus and Globus Labs will be a recipient of the National Science Foundation’s CONECT award under the [Advanced Cyberinfrastructure Coordination Ecosystem Services and Support (ACCESS) program]. [April 27, 2022]

Zhi Hong, J. Gregory Pauloski, Aswathy Ajith, Eamon Duede, Kyle Chard and Ian Foster will present “Accelerating Computational Social Science with ScholarBERT” at the 8th International Conference on Computational Social Science (IC2S2) at the University of Chicago, July 19-22. [April 26, 2022]

Eamon Duede will present “Distance Matters for Science and Scholarship” at the 8th International Conference on Computational Social Science (IC2S2) at the University of Chicago, July 19-22. [April 26, 2022]

Lab members organized and ran the “Fueling Materials Discovery with Machine Learning and FAIR Data Approaches” 2-hour training workshop at the 3M Tech Forum. This included presentations and research content from Logan Ward, Marcus Schwarting, Ari Scourtas, KJ Schmidt, Ben Blaiszik, Ian Foster, Ben Galewsky, Kyle Chard, Ryan Chard, and Nick Saint. [April 19, 2022]

Logan Ward presented on “Resource-Efficient Material Design Campaigns with Artificial Intelligence” at Arizona State University as part of their AI + Materials Spring 2022 Seminars series. [April 15, 2022]

Ben Blaiszik hosted the first of many YouTube Lives that will center around conversations with researchers focused on data, AI/ML, and #OpenScience! This stream was with Assistant Scientist Logan Ward on “A Starter Code Template for Scientific AI Projects.” You can access the stream recording on YouTube and the associated notebook on GitHub. Follow Ben for announcements of future sessions! [April 13, 2022]

Ian’s 2011 paper “The History of the Grid,” originally in “High Performance Computing: From Grids and Clouds to Exascale”, is now freely available on arXiv! [April 08, 2022]

KJ and Ben gave a seminar at University of Utah - Department of Materials Science & Engineering–“Introduction to Scientific Data Infrastructure”! [April 07, 2022]

Check out our new preprint addressing FAIR (Findable, Accessible, Interoperable, and Reusable) data in materials science on arXiv! [April 06, 2022]

Tyler presented “Automated metadata extraction to make data swamps more navigable” at Oak Ridge National Laboratory. [March 31, 2022]

Kyle Chard with a volunteer team of researchers led by Rafael Ferreira da Silva of the U.S. Department of Energy’s Oak Ridge National Laboratory (ORNL) launched the Workflows Community Initiative (WCI). Read the full article at: [March 24, 2022]

Argonne Leadership Computing Facility features the work of Marcus Schwarting, Noah Paulson, Ben Blaiszik, Ian Foster. “Argonne and 3M use machine learning to enhance material manufacturing process” on 3M work.
Read the full article at: [March 24, 2022]

Max presented his work on the Torch-MLIR community meeting. Read the agenda here: and the full PR for the work here: [March 24, 2022]

Our students will migrate to silicon valley for the summer. Hong will be interning at Amazon as an Applied Scientist intern with the Personalization team. Aswathy will be at Microsoft as a data science intern with the devices team; and Yuanjian will be at Google as a software engineer with the ads team [March 23, 2022]

Kyle Chard’s co-authored paper “SCANNS: Towards Scalable and Concurrent Data Indexing and Searching in High-End Computing System” was accepted at CCGrid 2022. [March 22, 2022]

Logan Ward presented (virtually) at TMS 2022 on software approaches for making laboratories fully autonomous. You can see his talk on YouTube [March 22, 2022]

Max’s paper “Ultrafast Focus Detection for Automated Microscopy” accepted for publication to ICCS 2022. [March 22, 2022]

Tyler’s paper “Models and Metrics for Mining Meaningful Metadata” accepted for publication to ICCS 2022. [March 22, 2022]

Ben, Logan, Ari, and KJ led a training in the Argonne Leading Computing Facility (ALCF) AI for Science Training series, in collaboration with Eliu Huerta and Venkat Vishwanath of Argonne National Laboratory. Trainees learned how to leverage modern computing environments and advanced scientific data infrastructure (DLHub, funcX and ThetaGPU) to create FAIR (Findable, Accessible, Interoperable, and Reusable) AI models and datasets. Video is available here. [February 24, 2022]

Zhi Hong presented a poster titled “Materials Science language models and analysis” at the Materials Research Data Alliance (MaRDA) Annual Meeting 2022. [February 23, 2022]

Globus World will be held May 10-12, 2022 in Chicago. In this year, we are back to in-person sytle meeting. Go Globus! [February 22, 2022]

Eamon presented his work at Social Science Foo Camp! [February 22, 2022]

Logan and Ben serve as panelists at the Materials Research Data Alliances (MaRDA) Annual Meeting 2022. [February 22, 2022]

Ben presented “A FAIR Approach Towards Fully Realizing the Impact of AI and Machine Learning in Materials Science” and was on a panel for the CECAM Machine actionable data for chemical sciences: Bridging experiments, simulations, and machine learning for spectral data (MADICES) conference. [February 08, 2022]

Yadu presented Parsl to a group at the Princeton Plasma Physics Laboratory. [February 08, 2022]

Eamon presented “Being Together in Place as a Catalyst for Scientific Advance” at the Seminar on Economic Geography. [February 08, 2022]

Raf’s paper “Materials Engineering of Violin Soundboards by Stradivari and Guarneri” made the cover of Angewandte Chemie [January 31, 2022]

Hong, Ari, Ben presented at Chimad. [January 31, 2022]

Eamon’s paper “How status of research papers affects the way they are read and cited” was published in Research Policy. [January 31, 2022]

Ben will be giving at Keynote at CECAM on “A FAIR Approach Towards Fully Realizing the Impact of AI and Machine Learning in Materials Science”. [January 31, 2022]

Ben gave the NIST Office of Data Informatics Monthly Seminar - “A FAIR Approach Towards Fully Realizing the Impact of AI and Machine Learning in Materials Science” [December 14, 2021]

ANL multi-division collaboration article on PFAS toxicity “Uncertainty-Informed Deep Transfer Learning of Perfluoroalkyl and Polyfluoroalkyl Substance Toxicity” has been published in The Journal of Chemical Information and Modeling. [December 14, 2021]

Tyler’s study on how reserachers find and use open data has been approved by an IRB! Contact him if you’ve got a perspective to share on how data could be made more discoverable. [December 07, 2021]

Eamon Duede was awarded an NSF funded traineeship at the Pritzker School of Molecular Engineering for AI-Enabled Molecular Engineering of Materials and Systems for Sustainability. Congratulations! [December 06, 2021]

We are glad to be part of the recent publication on common drivers and databases for quantum chemistry lead by Lori Burns. [November 22, 2021]

The multi-lab effort for COVID drug screening was published in The Journal of Chemical Information and Modeling. Congratulations, team! [November 22, 2021]

Ian is taking part in the NNSA’s committee on post-exascale computing. We are already planning for the next era of computing! [November 19, 2021]

Ganesh presented “From Atomistic to Coarse Grained : Active Learning Strategies for Gaussian Approximation Potential and Deep Kernel Learning” at the ML-IP 2021 Psi-k tutorial workshop . [November 17, 2021]

Tyler was named a UChicago Data Science Institute Rising Star in their Autumn 2021 cohort. Congratulations Tyler! [November 11, 2021]

In collaboration with Cardiff University, Kyle’s paper “Greedy Nominator Heuristic (GNH): Virtual Function Placement on Fog Resources” was accepted to the Concurrency and Computation: Practice and Experience journal! [November 09, 2021]

Check out tutorials, papers, and presentations by Globus Labs members at SC21! A full schedule of Globus and Globus Labs events at SC21 is available at [November 08, 2021]

A new paper with Ewa Deelman won best paper at FGCS. [November 07, 2021]

Ben presented “Advanced Robotics and Software Defined Automation to Speed Materials Discovery” at the AI/ML for Particle Accelerator, X-Ray Beamlines and Electron Microscopy workshop. [November 03, 2021]

Ethan Schondorf joins Globus Labs! [November 01, 2021]

Kyle and Raul’s A Community Resource for Innovation in Polymer Technology (CRIPT) (in collaboration with Bradley Olsen at MIT) won funding through the NSF Convergence Accelerator. [October 20, 2021]

Some of Logan’s thesis work has finally been published: High-throughput crystal structure solution using prototypes. Congratulations Logan! [October 19, 2021]

Ben and Raf and Ryan are contributing to ALCF’s AI for Science Training Series with a tutorial on Globus. Time and date TBD. [October 19, 2021]

Logan and Ryan are contributing to ALCF’s AI for Science Training Series. Logan is presenting on 11/04/2021, 3:00PM and Ryan on 02/17/2022, 3:00PM. [October 19, 2021]

Ian Foster wrote a new Globus blog post titled “Extra-fast Export: Globus Exceeds on Exascale Day by Accelerating Big-file Transfers”. Check out the post to learn how Globus transferred data from NERSC to ALCF at 30 gigabits per second! [October 18, 2021]

Tak is presenting Cloud Clustering Applied to MODIS Calibrated Radiances Over 2003 via Rotationally Invariant Autoencoder at AGU21 Wednesday, 15 December 2021. [October 18, 2021]

Our very own Logan Ward has begun his transition from research scientist to becoming the next Carl Sagan… Just kidding! Logan’s recordings from his Applied AI for Materials Science taught at UChicago during Winter 2021 are now available. [October 17, 2021]

Parsl & funcX Fest 2021 was a great success this year. Thanks for all that contributed to its smooth running and all those that attended. [October 16, 2021]

Greg’s KAISA: An Adaptive Second-Order Optimizer Framework for Deep Neural Networks has been accepted into SC this year. Congratulations Greg! [October 15, 2021]

Tong Shu’s In-situ Workflow Auto-tuning via Combining Performance Models of Component Applications has been accepted into SC this year. Congratulations Tong! [October 13, 2021]

Ian will be delivering the keynote at ScalA21: 12th Scalable Algorithms for Large-Scale Systems on November 19, 2021 (keynote abstraction here). [October 09, 2021]

Ben and Ian’s work on the Delta variant and Vaccine efficacy is available as a preprint [October 08, 2021]

Big group effort on Exascale Machine Learning has been published in The International Journal of High Performance Computing Applications. [October 06, 2021]

Hong’s “Challenges and Advances in Information Extraction from Scientific Literature” has been accepted into The Journal of The Minerals. [October 05, 2021]

Tekin’s “High-Performance Ptychographic Reconstruction with Federated Facilities” has been accepted into SMC2021. [October 04, 2021]

Globus Labs welcomes new postdoc Valerie Hayot! Valerie recently completed her Ph.D. in Software Engineering at Concordia University (Canada). [September 14, 2021]

Globus Labs congratulates the following students on their poster acceptances to SC21: Kevin Gao, Matt Baughman, Matthew Chen + Erica Hsu (joint), and Ryan Wong. [September 13, 2021]

Kyle Chard presented “Serverless Supercomputing: High Performance Function as a Service” in the CloudHPC symposium. [September 08, 2021]

Ian Foster speaks on panel entitled “Exploring the growing synergy between cloud and high performance computing” at the CloudHPC symposium. [September 07, 2021]

Congrats to students in the 2021 CDAC Data and Computing Summer Lab for completing their 2021 lab experiences! You can see the students and their projects here. [August 27, 2021]

Matt Baughman (M.S.) and Tyler Skluzacek (Ph.D. candidacy) successfully passed their respective exams. Congrats, Matt and Tyler! [August 23, 2021]

The BigDataX REU has finished! Congrats to Jamie, Kevin, and Matthew on a successful summer of research. [August 13, 2021]

“Analysis of In-Situ X-Ray Tomography Datasets of Dendritic Solidification Using 2D and 3D Machine Learning Algorithms” Tiberiu Stan, Nathan Pruyne, Jim James, Marcus Schwarting, Jiwon Yeom, Ben Blaiszik, Ian Foster, Peter Voorhees [July 28, 2021]

Hong paper “Models and Processes to Extract Drug-like Molecules from Natural Language Text” was accepted in Frontiers Molecular Biosciences. [July 28, 2021]

Ian’s paper “Autonomous experimentation systems for materials development: a community perspective” is published in Matter. [July 27, 2021]

Matt (Enhancing Automated FaaS with Cost-aware Provisioning of Cloud Resources), Tak’s (Cloud Clustering Over January 2003 via Scalable Rotationally Invariant Autoencoder), Hong’s (Gold Panning: Automatic Extraction of Scientific Information from Publications), Max’s (Ultrafast Focus Detection for Automated Microscopy), and the funcX teams’ (Federated Function as a Service for eScience) posters were accepted to eScience 2021. [July 19, 2021]

Tak’s paper “Data-driven Cloud Clustering via a Rotationally Invariant Autoencoder” (DOI: 10.1109/TGRS.2021.3098008) is accepted for publication at IEEE Transactions on Geoscience and Remote Sensing! [July 19, 2021]

Logan Ward’s paper “Graph-Based Approaches for Predicting Solvation Energy in Multiple Solvents: Open Datasets and Machine Learning Models” is accepted for publication at The Journal of Physical Chemistry A! [July 19, 2021]

Ben and his co-investigators have received $297,000 from DOE’s High Performance Computing Research at U.S. National Laboratories program for their project “Next Generation Nonwovens Manufacturing Based on Model-Driven Simulation Machine Learning Approach”. They will use a combination of HPC based CFD simulations and a machine learning to minimize energy consumption of melt blown fiber manufacturing processes. See the official announcement here. [July 19, 2021]

Kyle speaks at Internet 2 Community Voices Series on “Science Gateways: Sustaining Integral Solutions for Accelerating Science”. Recording to follow soon! [July 06, 2021]

Globus Labs has been awarded OAC Core Research funding with Illinois Tech for “Enabling Extremely Fine-grained Parallelism on Modern Many-core Architectures.” [June 28, 2021]

Tyler Skluzacek presented Globus Labs paper entitled “A serverless framework for bulk metadata extraction” at HPDC 2021. [June 22, 2021]

We are excited to announce two exciting tutorials for the ExaWorks project and for Globus at SC21! More details to follow soon. [June 22, 2021]

Congratulations to Tong Shu and the entire CODAR Team on the acceptance of a paper to be presented at SC21. [June 22, 2021]

Greg had his paper titled “KAISA: An Adaptive Second-order Optimizer Framework for Deep Neural Networks” accepted at SC21! Stay tuned for more information. [June 20, 2021]

Globus Labs has had two papers accepted at eScience 2021—“An Empirical Study of Package Dependencies and Lifetimes in Binder Python Containers” and “Extreme Scale Survey Simulation with Python Workflows” in collaboration with DESC! More details to follow. [June 20, 2021]

Globus Labs and the UChicago Center for Data and Computing would like to welcome the 55 high school, undergraduate, and graduate students joining us this summer for the CDAC Summer Lab! Check out the program, students, and project profiles on the CDAC Summer Lab website here. [June 14, 2021]

Check out Ben’s new paper on additive manufacturing modeling in Integrating Materials and Manufacturing Integration! [June 09, 2021]

Globus Labs welcomes new Ph.D. student Aswathy Ajith! She will be working on information extraction systems for scientific data using natural language processing techniques. [June 02, 2021]

On June 22nd, Tyler Skluzacek will present the Globus Labs paper entitled “A serverless framework for bulk metadata extraction” at HPDC 2021. [June 01, 2021]

After some fiddling around, Raf’s collaboration paper on the structure of violins – “Materials engineering of violin soundboards by Stradivari and Guarneri” – has been accepted by Angewandte Chemie, one of the top three chemistry journals in the world! [May 30, 2021]

Globus Labs welcomes our BigDataX REU students. BigDataX is co-hosted by the UChicago and IIT. [May 28, 2021]

Max’s, Ryan’s, Ben’s, and Ian’s co-authored paper “Accelerated, Scalable and Reproducible AI-driven Gravitational Wave detection” is accepted for publication at Nature Astronomy! [May 27, 2021]

Raf Vescovi and Ryan Chard present at the virtual 2021 APS/CNM Joint Virtual Users Meeting. [May 25, 2021]

Logan Ward gave a tutorial talk on applying AI to molecular simulations to the MICCOM Center. [May 22, 2021]

Logan Ward is presenting a tutorial on optimal experimental design techniques as part of Argonne’s AI for Science Tutorial series. [May 22, 2021]

Globus Labs alumni Tim Shaffer and Rohan Kumar present papers at IPDPS 2021. Tim presented “Lightweight Function Monitors for Fine-grained Management in Large Scale Python applications” in the main IPDPS track, and Rohan presented his paper “Coding the Computing Continuum: Fluid Function Execution in Heterogeneous Computing Environments” at the HCW21 workshop. [May 21, 2021]

Ian and Kyle hosted a seminar in Serverless Computing as part of the Dagstuhl Seminar series. [May 19, 2021]

Check out this Argonne press on “Ganesh’s PRL”. The title “Lasers, levitation and machine learning make better heat-resistant materials” speaks by itself. The collaboration between Chris Benmore from the APS and our Data Science team is making ripples on material science. Check the full article “here”. [May 12, 2021]

Exciting news. Kyle got a new funding in collaboration with IIT that will support a developer and another student at University of Chicago. The goal is to achieve A High-Performance Storage Infrastructure for Activity and Log Workloads on Frameworks. As always we have an amazing name for the project, ChronoLog. [May 10, 2021]

Raf presented the first operational version of Gladier: The Globus architecture for data-intensive experimental research at the “Autonomous Discovery in Science and Engineering” organized by CAMERA. [April 23, 2021]

Ian and Kyle bring globus to NZ. You can check the webinar at “Nesi - Globus Update for professionals” [April 22, 2021]

Ari will be giving a short 5-min presentation on DLHub and Foundry at the “Research Data Alliance’s 17th Plenary”, during the Defining FAIR for Machine Learning session this Wednesday (4/21) at 15:00 UTC (10am CT), with a recorded repeat on Thursday (4/22) at 23:00 UTC (6pm CT). [April 21, 2021]

Check out all the new features released in the newest version of funcX! funcX is our FaaS framework specifically designed for high performance function serving. [April 15, 2021]

The “Computing Comunity Consortium” highlights Ian’s white paper on the National Discovery Cloud. The article highlights the three pillars of computational fabric. You can check the full paper “here” [April 14, 2021]

Raf presented the first operational version of Gladier: The Globus architecture for data-intensive experimental research at the “Autonomous Discovery in Science and Engineering” organized by CAMERA. [April 14, 2021]

Ganesh and the Argonne team had a paper titled “Experimentally Driven Automated Machine-Learned Interatomic Potential for a Refractory Oxide” published in the PRL Journal! This paper was also highlighted as an “Editor’s Suggestion” in the journal. [April 14, 2021]

Logan and Ganesh, in collaboration with others, had a new paper accepted to the Ninth International Conference on Learning Representations! You can check out a preprint of the paper, titled “Benchmarking Deep Graph Generative Models for Optimizing New Drug Molecules for COVID-19”, on arXiv. [April 14, 2021]

In collaboration with the Center for Data and Computing, we are hosting the Chicago Data Discovery Virtual Summit on April 22 and 23! Registration is free and we look forward to seeing you there. [April 14, 2021]

A deployment of the Modern Research Data Portal (MRDP), a high-performance networking resource developed by engineers at the U.S. Department of Energy’s Energy Sciences Network (ESnet) in collaboration with computer scientists at Argonne National Laboratory and the University of Chicago, is now being used at NERSC for the Dark Energy Science Collaboration (DESC)! [April 14, 2021]

Check out all the new features released in the newest version of funcX! funcX is our FaaS framework specifically designed for high performance function serving. [April 08, 2021]

Check out a new preprint from a Globus Labs collaboration: High Throughput Virtual Screening and Validation of a SARS-CoV-2 Main Protease Non-Covalent Inhibitor! [April 07, 2021]

Rohan Kumar’s “Coding the Continuum: Fluid Function Execution in Heterogeneous Computing Environments” has been accepted to the Heterogeneity in Computing Workshop at IPDPS 2021! [March 01, 2021]

Ian Foster, Kyle Chard, Yadu Babuji, and Zhuozhao Li are chairing the Workshop on High Performance Serverless Computing which will be held virtually in conjunction with HPDC2021 [March 01, 2021]

Ben Blaiszik and Ian Foster helped organize and plan the first annual meeting of the Materials Research Data Alliance (MaRDA). Topics included FAIR materials data, identification of state of the art data infrastructure, gap analyses, panels and presentations from leading experts in materials data, and more. The full program can be found here. Recorded videos will be available soon. [February 23, 2021]

Ganesh Sivaraman’s paper, entitled “Experimentally driven automated machine-learned interatomic potential for a refractory oxide”, has been accepted for publication in the journal Physical Review Letters. [February 17, 2021]

The DOE Secretary’s Honor Award names multiple Globus Labs members for numerous recent computing accomplishments surrounding COVID-19. [February 16, 2021]

Aristana Scourtas has joined Globus Labs as a researcher. Ari is working on applied machine learning in chemistry, catalysis, and materials science and building data infrastructure to make it simple to discover and consume ML-ready data and models as part of Globus Labs. She aims to take on new projects applying machine learning and data science to environmental problems. [February 15, 2021]

Ian was on the team that wrote “Fast and accurate learned multiresolution dynamical downscaling for precipitation” (Jiali Wang, et al). Check out the preprint here! [January 27, 2021]

Course materials for Logan’s new class, “Applied Artificial Intelligence for Materials Science and Engineering,” at University of Chicago, have been posted. Check them out here! [January 27, 2021]

KJ Schmidtjoins from Northwestern, and will be working on applied machine learning applied to problems in soft materials, atomic force microscopy, and more with industrial partners and general data infrastructure projects as part of Globus Labs. [January 25, 2021]

The Exaworks project has been funded for another year. Congratulations, exaworks team! [January 20, 2021]

Ian Foster and Anna Woodard are part of an interdisciplinary team which was awarded a 2020 Cancer Spotlight Grant of $100,000 by the UChicago Medicine Comprehensive Cancer Center Cancer Research Foundation’s Women’s Board. Their project aims to use deep learning on magnetic resonance imaging and genomic data to predict which women are at higher risk of breast cancer and would benefit from more frequent screening, and which could safely reduce their screening frequency. Such a system could lead to more cancers being caught early, when they are curable. [January 13, 2021]

Logan Ward and his co-investigators Meimei Li and Abdellatif Yacout have received $200,000 from Argonne National Lab’s Energy and Global Security directorate for their project “Accelerating Discovery and Development of New Nuclear Materials.” They will build an AI-based tool to characterize and forecast the radiation tolerance of new materials. [January 05, 2021]

Yongyan Rao joins Globus Labs as a Software Engineer. [January 04, 2021]

Parsl and Swift/T were featured in an article by Rob Farber about ExaWorks. Check out the article here: Workflow technologies impact SC20 Gordon Bell Covid-19 award winner and two of the three finalists. [December 21, 2020]

Visiting Student Tim Shaffer had his paper, “Lightweight Function Monitors for Fine-Grained Management in Large Scale Python Applications”, accepted to be presented and published in the proceedings of IPDPS ‘21. [December 15, 2020]

Tak successfully defended his Masters Thesis: “A Data-driven Novel Cloud Classification Framework based on An Efficient Cloud Representation via Rotational and Non-Rotational Invariant Autoencoder.” Congrats Tak! [December 15, 2020]

Parsl and Funcx were featured by Dennis Gannon in the eScience Group’s blog. Check out the article here: “A Look at Parsl and FuncX: Two Excellent Parallel Scripting Tools for Clouds and Supercomputers.” along with some great examples using these tools! [December 15, 2020]

Ian Foster and the CODAR Group–Center for Online Data Analysis and Reduction–had their paper, Jieyang Chen et al., Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs, IPDPS 2021., accepted to be presented and published in the proceedings of IPDPS ‘21. [December 15, 2020]

Tyler Skluzacek’s app, NightWare, won the FDA approval! The news is spotlighted by UChicago CS Home Page and! [December 15, 2020]

Aarthi is presenting a poster in the student SC20 poster competition. Good luck, Aarthi! [November 17, 2020]

Kyle will be presenting on a panel on language support for parallel and distributed computing at HILT 2020. [November 17, 2020]

Ryan is presenting his work on Gladier this Friday at the SC20 Workshop on Urgent HPC. [November 13, 2020]

Globus labs has 2 papers in the XLOOP Workshop at SC20: Max is presenting on controlling manufacutring with AI and Tekin is presenting on [streaming tomographic reconstruction] [November 12, 2020]

Greg will be presenting his paper on distributed training of CNNs at SC20 next Thursday! [November 11, 2020]

Ian, Valeriu Codreanu (SURFsara), and Zhao Zhang (TACC) are running the 5th Deep Learning on Supercomputers Workshop at SC20. [November 11, 2020]

The paper ‘Towards Online Steering of Flame Spray Pyrolysis Nanoparticle Synthesis’ (preprint), led by Maksim Levental, was accepted at the XLOOP 2020 Workshop at SC20. Congratulations, Max! [October 16, 2020]

Takuya Kurihana’s poster, A data-driven cloud classification framework based on a rotationally invariant autoencoder was accepted to be presented at the AGU fall meeting. Congratulations, Tak! [October 14, 2020]

Ian Foster was interviewed by Wired magazine about how machine learning is being used to speed up battery development: AI Is Throwing Battery Development Into Overdrive. [October 12, 2020]

Ian Foster was featured in the Material Data Matters podcast about how materials are related to big data. Check it out here! [October 12, 2020]

ParslFest 2020 was a huge success! This second Parsl Community Meeting was held October 6-7. The two day meeting included presentations and discussions on how Parsl is being used, new features, and tutorials. If you missed out the fun, don’t worry– slides and videos for all presentations have been posted! [October 07, 2020]

Check out the fantastic research being done by CDAC summer lab students! [October 07, 2020]

Globus moves one exabyte of data! Read more here [October 07, 2020]

Ari Scourtas joins Globus Labs as a Software Engineer. [October 07, 2020]

Oak Ridge Leadership Computing Facility (OLCF), a multi-institutional and multi-disciplinary team led by Eliu Huertais, nominated for HPCWire’s Best Use of High Performance Data Analytics & Artificial Intelligence. [September 28, 2020]

Greg Pauloski, Marcus Schwarting, Priyanka V. Setty, and Yuanjian Lui join Globus Labs as PhD students. Greg earned his BS in Computer Science from the University of Texas at Austin. He is interested in systems that enable machine learning research in high-performance environments. Marcus has worked at Argonne National Laboratory since 2018. He earned his BS’s in Mathematics and Chemical Engineering from the University of Louisville and his MS in Computer Science from the Georgia Institute of Technology. He is interested in machine learning applied to materials science, chemistry, and fluid dynamics. Priyanka has worked at Argonne National Lab for a year after earning her BE in Biotechnology from P.E.S.I.T, Bangalore, India and MS in Biostatistics from the University of Pittsburgh. She is interested in AI for answering biological problems. Yuanjian earned his BS in Computer Science from Zhejiang University. He is interested in distributed systems and loves filmmaking and video production. He is not super good at English, but if you have enough patience, you are likely to make friends with him. [September 28, 2020]

DLHUb and Ben Blaiszik featured in DOE and NCSA Supercomputing Speed Studies into Black Hole Origins. [September 23, 2020]

An Argonne LDRD was awarded to Dr. Kyle Chard to pursue work on integrating Parsl and Balsam to address big data challenges with x-ray diffraction technologies at the Advanced Photon Source. [September 19, 2020]

An Argonne LDRD was awarded to Dr. Ryan Chard to work on real-time IoT fusion to drive machine learning for experiment steering and on-line optimization. [September 19, 2020]

The Data Stations project begins with an aim to eliminate hurdles of big data exchange. Dr. Ian Foster states, “The Data Station is a radically new approach that is needed to change how people and organizations thing about, access, and use data”. This work will be funded by a $1 million grant from the National Science Foundation as part of the Convergence Accelerator program. [September 19, 2020]

On the 17th of September, Dr. Ian Foster presented a talk, “‘AI for Science’ program at Argonne National Laboratory”, at the 2nd NOAA Workshop on Leveraging AI in Environmental Sciences. [September 17, 2020]

funcX and Ryan Chard featured in News and Articles on Science and Technology about using supercomputers to conduct real-time analysis of COVID-19 proteins. [September 10, 2020]

The second ParslFest community meeting will be held as a (free) virtual meeting over two sessions (Oct 6 morning and Oct 7 afternoon). The meeting will include presentations from researchers, developers, and cyberinfrastructure experts as well as the Parsl team. Save ParslFest in your calendar! If you are interested in attending or presenting at the (free) ParslFest meeting, please complete the registration form. [September 10, 2020]

Parsl featured in Research Software Encyclopedia. [September 10, 2020]

Braid project is funded by Department of Energy (DOE). [September 10, 2020]

Globus Labs will be speaking at the 2020 DOE Data Days (D3) virtual event about Gladier: An Architecture to Enable Modular Automation of Data Capture, Storage, and Analysis at Experimental Facilities (presentation link forthcoming). [September 10, 2020]

Aarthi Koripelly has two posters accepted in ACM Student Research Competition. Congratulations! [September 10, 2020]

Timothy Shaffer has joined Globus Labs as a research intern! Tim will be working on managing Python software environments in Parsl to increase application portability across sites. [August 18, 2020]

The funcX project website is now launched. [August 11, 2020]

Ganesh Sivaraman’s paper, entitled “Electrically Sensing Hachimoji DNA nucleotides through a hybrid graphene/h-BN nanopore”, has been published to the journal Nanoscale. [August 07, 2020]

The funcX project is seeking skilled Python developers to create and operate the funcX platform. funcX is designed to enable managed function execution across a distributed ecosystem of function execution endpoints deployed on heterogeneous computers: from laptops to supercomputers. [August 06, 2020]

‘DLHub: Simplifying Publication, Discovery, and Use of Machine Learning Models in Science’, led by Zhuozhao Li, has been accepted for publication by the Journal of Parallel and Distributed Computing. [August 03, 2020]

Kyle has received funding from the Exascale Computing Project to investigate Exascale workflow needs as part of the ExaWorks project [August 01, 2020]

Ian has received funding from the Exascale Computing Project to explore Exascale data management needs [August 01, 2020]

Kyle Chard presented “OAuth SSH with Globus Auth” and Rick Wagner presented “An Open System for Pervasive Use of Persistent Identifiers” at PEARC 2020. [July 30, 2020]

funcX and Ryan Chard featured in Argonne’s ALCF Newsletter about using supercomputers to conduct real-time analysis of COVID-19 proteins. [July 29, 2020]

Ganesh Sivaraman’s paper, entitled “Machine-Learned interatomic potentials by active learning: amorphous and liquid hafnium dioxide”, has been published to the Nature Partner Journal on Computational Materials. [July 21, 2020]

“Real-time HEP analysis with funcX, a high-performance platform for function as a service”, led by Anna, has been accepted for publication to CHEP 2019 - 24rd International Conference on Computing in High Energy and Nuclear Physics proceedings. [July 20, 2020]

Rohan Kumar successfully defended his Master’s thesis, entitled “Coding the Computing Continuum: Enabling Fluid Execution of Functions in Heterogeneous Computing Environments” . [July 16, 2020]

Logan’s paper, titled “Quantum Chemically Informed Machine Learning: Prediction of Energies of Organic Molecules with 10 to 14 Non-Hydrogen Atoms”, is accepted to the Journal of Physical Chemistry A. [July 01, 2020]

Logan’s paper, titled “A High-Throughput Structural and Electrochemical Study of Metallic Glass Formation in Ni-Ti-Al”, is accepted to ACS Combinatorial Science. [July 01, 2020]

Marcus Schwarting gave a presentation to summer students at Argonne National Lab on Machine Learning for Materials Science and Chemistry. [June 19, 2020]

2020 CDAC Summer Lab has started with Globus Labs hosting four students. [June 18, 2020]

Maksim Levental has joined Globus Labs as a PhD student! Max earned his BS in Math from Florida State University, and his MS in Computer Science from University of Florida. He will be working on problems at the intersection of Machine Learning and Distributed HPC. With this next step taken, Max will finally no longer be a “Florida man” (not that it’s considered bad to be a “Florida man”, unless you wind up in the news). Max is still early in his career, though, so anything is possible. [June 18, 2020]

Ben, Hong, Marcus, Tyler presented at CHiMaD: Center for Hierarchical Materials Design (presentation link forthcoming). [June 11, 2020]

Globus Labs is contributing to the fight against COVID-19 and making our research data publicly available. Check out our data release here (DOI: 10.26311/LIT). [May 26, 2020]

Ian and Kyle received an NSF Award to support our funcX project. [May 07, 2020]

Ian and Kyle have 2 papers accepted to PEARC20, one titled “OAuth SSH with Globus Auth”, and one titled “An Open Ecosystem for Pervasive Use of Persistent Identifiers”. [May 07, 2020]

Kyle, Ian, and Andrew Chien presented QoS-Aware Distributed Serverless Computing at the annual CERES summit. [April 10, 2020]

Zhuozhao Li presented work at UC Merced. [April 09, 2020]

Ian’s paper titled: A regional nuclear conflict would compromise global food security is accepted to PNAS. [April 09, 2020]

Hong’s paper titled: “SciNER: Extracting Named Entities From Scientic Literature” is accepted to ICCS20. [April 09, 2020]

Our paper titled: “funcX: A Federated Function Serving Fabric for Science” has been accepted to HPDC20. [April 09, 2020]

Globus Labs is contributing to the fight against Covid-19. Read more here. [March 10, 2020]

Ryan Chard presented 5G Enabled Energy Innovation Workshop (5GEEIW) at Westin Hotel in Chicago, IL. `` [March 10, 2020]

Kyle Chard presented update of complex workflow in HEP-CCE at the Argonne National Laboratory, Chicago, IL. [March 09, 2020]

High school and undergraduate students from the Greater Chicago Area are invited to apply for the CDAC Data and Computing Summer Lab. Applications due February 28th! [February 28, 2020]

Ian Foster is presenting Automating the Research Data Lifecycle with Automate at eResearch 2020 in Dunedin City, NZ. [February 13, 2020]

Logan Ward is part of the ExaLearn Tutorial: Co-Design Center for Exascale Machine Learning Technologies at the Exascale Computing Project’s Annual Meeting in Houston, TX. [February 05, 2020]

Ben received an ARPA-E award to partner with researchers at MIT (led by Gomez-Bombarelli) and UTRC to discover new multicomponent oxide catalyst materials using machine learning approaches. [February 03, 2020]

Yadu Babuji presented How funcX uses k8s at the Chicagoland K8s-HEP Meetup in Chicago, IL. [January 30, 2020]

Kyle Chard Presented Parsl: Pervasive Parallel Programming in Python at the January Chicago PyData Meetup. [January 22, 2020]

Ryan Chard presented on “Cyberinfrastructure for Autonomous Science” at Argonne National Lab’s Advanced Photon Source AI/ML Workshop. ( [January 18, 2020]

Ian Foster penned a Globus blog post Globus Turns 10^18 about Globus history, a review of 2019, and Globus being projected to reach 1 exabyte of data transferred in 2020. [January 15, 2020]

Ian Foster featured in The Big Questions: Ian Foster on High-Performance Computing by the U.S. Department of Energy’s Office of Science blog. [January 15, 2020]

Ian Foster presents AI for Science at Argonne as part of Argonne National Laboratory’s Computational Science Seminar Series. [January 14, 2020]

Ian Foster presented Mechanisms Empowering Discovery at the U.S. Department of Energy’s Advanced Scientific Computing Advisory Committee’s January meeting. [January 13, 2020]

Takuya Kurihana presented Developing Unsupervised Learning Models for Cloud Classification and Cloud Characterization with Deep Learning II at the AGU Fall Meeting in San Francisco, CA. [December 13, 2019]

Ian Foster presented ParaOpt: Automated Application Parameterization and Optimization for the Cloud on behalf of former Globus Labs Master’s students Chaofeng Wu and Ted Summer at CloudCom 2019 in Sydney, Australia. [December 13, 2019]

Zhuozhao Li presented a talk Parsl: Pervasive Parallel Programming in Python at Python for High Performance and Scientific Computing for Birds of a Feather on SC 2019. [November 21, 2019]

Logan Ward gave a presentation titled “Materials Data and AI Efforts in the US” on Materials Discovery Meets AI: Current Progress and Intensive Hands-on in Australia. [November 21, 2019]

Arjun Shankar presented a Demo about using Parsl to coordinate multi-site runs in DCDE project at the DOE booth on SC 2019. [November 19, 2019]

Check out Ian’s latest paper, “Scientific Image Restoration Anywhere” published on 1st Annual Workshop on Large-Scale Experiment-in-the-Loop-Computing. [November 17, 2019]

Check out Ian’s latest paper, “A Codesign Framework for Online Data Analysis and Reduction” published on The 14th Workshop on Workflows in Support of Large-Scale Science. [November 17, 2019]

Check out Ian’s latest paper, “MemXCT: Memory-Centric X-Ray CT Reconstruction with Massive Parallelization” published on IEEE/ACM Supercomputing (SC19) Conference on High Performance Computing Networking, Storage and Analysis. [November 17, 2019]

Check out Ian’s latest paper, “Estimation of RTT and Loss Rate of Wide-Area Connections Using MPI Measurements” published on Innovating the Network for Data Intensive Science. [November 17, 2019]

Check out Ian’s latest paper, “Deep Learning Accelerated Light Source Experiments” published on Deep Learning on Supercomputers. [November 17, 2019]

Check out Ian’s latest paper, “Aggregating Local Storage for Scalable Deep Learning I/O” published on Deep Learning on Supercompusters. [November 17, 2019]

Ian Foster co-organized The 5th International Workshop on Data Analysis and Reduction for Big Scientific Data, in conjunction with SC19. [November 17, 2019]

Ian Foster co-organized the Deep Learning on Supercomputers Workshop, in conjunction with SC19. [November 17, 2019]

Matthew E. Baughman’s poster titled “Enhancing Neural Architecture Search with Speciation and Inter-Epoch Crossover” was accepted to ACM Student Research Competition on SC 2019. [November 15, 2019]

Kathryn Leung’s poster titled “Walking the Cost-Accuracy Tightrope: Balancing Trade-Offs in Data-Intensive Genomics” was accepted to ACM Student Research Competition on SC 2019. [November 15, 2019]

Zhi Hong passed his Master defense titled “Enabling Generalizable Scientific Named Entity Recognition” on November 8th. Congratulations Hong! [November 08, 2019]

Matt Baughman’s paper titled “Measuring, Quantifying, and Predicting the Cost-Accuracy Tradeoff” was accepted to The Third IEEE International Workshop on Benchmarking, Performance Tuning and Optimization for Big Data Applications (BPOD 2019). [October 30, 2019]

Check out Kyle’s latest paper, “Enabling real-time multi-messenger astrophysics discoveries with deep learning” published on Nature Review Physics. [October 30, 2019]

Tyler SKluzacek’s paper titled “Serverless Workflows for Indexing Large Scientific Data” was accepted to 5th Workshop on Serverless Computing (WoSC ‘19). [October 30, 2019]

Tyler SKluzacek’s paper titled “Dredging a Data Lake: Decentralized Metadata Extraction” was accepted to Middleware ’19 Doctoral Symposium. [October 30, 2019]

Takuya Kurihana’s abstract titled “Cloud Characterization With Deep Learning II” was accepted to American Geophysical Union (AGU) 2019 Fall Meeting. [October 30, 2019]

Congratulations to Ian Foster for being honored as one of five DOE Office of Science Distinguished Scientists Fellows! The Department of Energy will provide $1 million in funding to support Ian’s pioneering research on data, computing and artificial intelligence. [October 30, 2019]

Kyle Chard gave a talk titled “Globus Research Data Management Service: Capabilities, International Experiences, and Future Plans” on eResearch Australasia 2019 in Australia. [October 24, 2019]

Globus labs projects are nominated in several categories in this year’s HPCwire Readers’ Choice Awards. Vote for us in categories: “Best Use of HPC in Physical Sciences”, “Best HPC Programming Tool or Technology”, “Best HPC Storage Product or Technology” [October 23, 2019]

ParslFest, the first Parsl Community Meeting will be held October 3-4, 2019 at the University of Chicago. The two day meeting included presentations and discussions on the first day and tutorials, advanced topics, and helpdesk sessions on the second day. [October 03, 2019]

Ian served as a panelist on the topic of “Engaging Male Allies” at Women in HPC: Diversifying the HPC Community and Engaging Male Allies. [September 28, 2019]

Kyle presented “Serverless Science for Simple, Scalable, and Shareable Scholarship” at eScience 2019. [September 28, 2019]

Kyle served as a panelist on the topic of “Effective Checklists for Developers and Researchers” at Gateways 2019. [September 28, 2019]

Kyle’s paper “Application of BagIt-Serialized Research Object Bundles for Packaging and Re-execution of Computational Analyses” was presented at the Research Objects workshop at eScience 2019. [September 28, 2019]

Kyle presented “Big Data Bags: A Scalable Packaging Format for Science” at the Research Objects workshop at eScience 2019. [September 28, 2019]

Kyle presented “Active Learning Yields Better Training Data for Scientific Named Entity Recognition” at eScience 2019. [September 28, 2019]

Ben received an NSF award, jointly with the University of Wisconsin-Madison, to enable continued research towards building a materials innovation infrastructure compatible with modern machine learning techniques. [September 28, 2019]

Matt (Enhancing Neural Architecture Search with Speciation and Inter-Epoch Crossover) and Kathryn’s (Walking the Cost-Accuracy Tightrope: Balancing Trade-offs in Data Intensive Genomics) posters were accepted to SC2019. [September 13, 2019]

Kyle Chard’s paper: Tales at Scale: Toward Enabling Reproducibility for Data-Intensive Research using the Whole Tale Platform presented at ParCO2019. [September 11, 2019]

Ian gives a keynote at ParCO2019 on Coding the Continuum. [September 11, 2019]

Ben Blaiszik, Marcus Schwarting, and Ian Foster receive Argonne LDRD award to prototype the development of automated laboratories coupled with AI. [September 03, 2019]

Dr. Roselyne Tchoua, 2019 Globus Labs Alumna, starts as Assistant Professor at the School of Computing at DePaul University (Chicago, IL). Congratulations, Roselyne! [September 02, 2019]

The CDAC summer internship officially concludes this week! Special thanks to Aarthi, Avery, Katy, Nikki, Ruby, Ryan, Sydney, Teresa, and Tobias for their contributions to Globus Labs research projects! [September 01, 2019]

The inaugural ParslFest Community meeting will take place Oct. 3rd-4th at the University of Chicago. See the Parsl website for more information. [August 31, 2019]

Check out Logan’s, Ben’s, and Ian’s new paper, Machine Learning Prediction of Accurate Atomization Energies of Organic Molecules from Low-Fidelity Quantum Chemical Calculations, which was accepted for publication in MRS Communications Special Issue on AI! [August 30, 2019]

Takuya Kurihana’s paper “Cloud Characterization with Deep Learning” accepted to Climate Informatics 2019. [August 29, 2019]

Ryan Chard previews Globus Automate at the September Campus Research Computing Consortium meeting. [August 28, 2019]

Kyle Chard joined Argonne Physicist Katrin Heitmann to discuss “Simulating and Sharing the Universe”. You can see the full interview on Facebook. [August 27, 2019]

Globus Labs project funcX featured in HPC-Wire. Check it out here! [August 26, 2019]

Logan Ward taught a short coarse on using convolutional neural networks for scientific research at the ALCF AI for Science Tutorial. [August 23, 2019]

Kyle Chard presents “Serverless Supercomputing: High Performance Function as a Service” at Aalto University in Otaniemi, Finland. [August 15, 2019]

Serverless Supercomputing: High Performance Function as a Service for Science paper is now available on arXiv. [August 14, 2019]

Ravi Madduri, Kyle Chard, and Ian Foster publish “Reproducible big data science: A case study in continuous FAIRness” in PLOS ONE. Check it out here! [August 02, 2019]

Zhuozhao Li presented Publishing and Serving Machine Learning Models with DLHub at PEARC 2019. [July 30, 2019]

Zhuozhao Li presented Publishing and Serving Machine Learning Models with DLHub at PEARC 2019. [July 30, 2019]

Kyle Chard presented Scalable Parallel Programming in Python with Parsl at PEARC 2019. [July 30, 2019]

Anna Woodard will present a talk titled “Real-time HEP analysis with funcX, a high-performance platform for function as a service” at CHEP 2019. [July 30, 2019]

Check out our new paper, A Data Ecosystem to Support Machine Learning in Materials Science which was accepted for publication in MRS Communications Special Issue on AI! [July 25, 2019]

Roselyne Tchoua’s paper “Active Learning Yields Better Training Data for Scientific Named Entity Recognition” is accepted at the IEEE 15th International Conference on eScience, 2019. [July 25, 2019]

Ian Foster presented on AI at Scale for Materials and Chemistry at the Department of Energy AI for Science Town Hall hosted at Argonne National Laboratory. [July 22, 2019]

Logan Ward presented a tutorial on Supervised Learning (regression, classification, CNN) at the AI for Science Student workshop at Argonne National Laboratory. [July 09, 2019]

Logan Ward presented a talk on “Materials Design” at the AI for Science Student workshop hosted at Argonne National Laboratory. [July 08, 2019]

Ben Blaiszik presented a talk on A FAIR Approach to Publishing and Sharing Machine Learning Models at the AI for Science Student workshop at Argonne National Laboratory. [July 08, 2019]

Roselyne Tchoua will present her PhD dissertation on July 2nd from 11AM at John Crerar Library (JCL) 298. Her dissertation title is HYBRID HUMAN-MACHINE SCIENTIFIC INFORMATION EXTRACTION FRAMEWORKS. Go Roselyne ! [June 28, 2019]

Yadu Babuji presented Parsl talk at the HPDC 2019 on June 26th. His presentation title is Parsl: Pervasive Parallel Programming in Python. [June 26, 2019]

Matt Baughman presented his AWS talk at the ScienceCloud Workshop on June 25th. He presented Deconstructing the 2017 Changes to AWS Spot Market Pricing. [June 25, 2019]

Ian Foster gave a keynote at the ScienceCloud Workshop on June 25th. His present title is Coding the Continuum. [June 25, 2019]

Matt Baughman After working with Globus Labs part-time for nearly two years, Matt Baughman will be joining GLabs full time as a PhD student. Matt earned his Bachelor in Computational Sciences from the Minerva Schools at KGI where he studied computational analysis and theory. He will continue working with Kyle Chard on the development of automated optimization approaches for scientific cloud computing. [June 24, 2019]

Roselyne Tchoua presented “Creating Training Data for Scientific Named Entity Recognition with Minimal Human Effort” at ICCS 2019 in Faro, Algarve, Portugal. [June 12, 2019]

Takuya Kurihana presented his cloud model at the CS-1 Workshop on June 8th. He proposed a potential application on the new ALCF deep learning machine CS-1 . [June 08, 2019]

Marcus Schwarting gave a general overview of current techniques in machine learning and how they can be applied to problems in materials science. He also highlighted the use of DLHub and MDF for facilitating the machine learning model building process. [May 22, 2019]

Roselyne Tchoua to present “Enabling Generalizable Machine Learned Scientific Named Entity Recognition” at SIGSIM PADS 2019 on Jun. 4 in Chicago, IL. [May 21, 2019]

Dr. Ian Foster, recipient of the 2019 IEEE Computer Society Charles Babbage Award, presents keynote entitled “Coding in the Continuum” at IPDPS 2019 in Rio de Janeiro, Brazil. [May 20, 2019]

Globus Labs has three papers on DLHub, Parsl, and Petrel accepted to PEARC19. [May 18, 2019]

Dr. Kyle Chard to present “FuncX: High Performance Function-as-a-Service for Science” at the 11th International Workshop on Science Gateways in Ljubljana, Slovenia (Jun. 12-14). [May 15, 2019]

Kyle Chard chaired and Zhuozhao Li vice-chaired the Workshops Proceedings Committee at IPDPS 2019. [May 04, 2019]

Logan Ward co-organized a symposium at the MRS Spring Meeting integrating AI with materials engineering. [May 04, 2019]

Globus Labs presents posters on DLHub, funcX, and Parsl at GCASR 2019 at DePaul University. [May 03, 2019]

The annual GlobusWorld Conference is being held in Chicago, IL on May 1-2, 2019! [April 30, 2019]

Our paper Reproducible big data science: A case study in continuous FAIRness was published in PLOS One. [April 11, 2019]

Roselyne B. Tchoua was featured in MediaPlanet’s Women in Computing Campaign. You can find the article online here: Advice From Women in Computer Sciences. [April 03, 2019]

Roselyne B. Tchoua, Zhi Hong, Logan T. Ward, Kyle Chard, and Ian T. Foster publish paper, “Creating Training Data for Scientific Named Entity Recognition with Minimal Human Effort”, at ICCS 2019. [April 02, 2019]

Sandro Fiore (Ph.D) has joined the U. Chicago and Globus Labs as a Visiting Scientist. He is Senior Scientist and Head of the Data Science and Learning Research Team at the Euro-Mediterranean Center on Climate Change (CMCC). His research focuses on scientific data management, in particular high performance data analytics workflows as well as provenance and computational reproducibility aspects. [March 22, 2019]

Globus Labs will be giving a talk on Parsl at the 28th International ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC’19) [March 20, 2019]

Ryan Chard presented FuncX: A Function Serving Platform for HPC at the Singularity User Group Meeting. [March 12, 2019]

Logan Ward is invited to give a talk on Machine-learning-aided Design of Metallic Glasses at TMS 2019. [March 12, 2019]

The NIST Center for Hierarchical Materials (CHiMaD) has been extended for an additional 5 years. We are excited to continue expanding on the solid foundation that CHiMaD hasbuilt. Globus Labs projects including the Materials Data Facility and the Polymer Property Predictor and Database (PPPDB) are funded through CHiMaD. [Full Report] [March 12, 2019]

Ian Foster named recipient of the 2019 IEEE Computer Society Charles Babbage Award! Congratulations! [March 11, 2019]

Join our UChicago Data and Computing Summer Lab. Applications due by March 10th, 2019. [March 10, 2019]

Ryan Chard presents DLHub at CANDLE Workshop. [February 28, 2019]

Greg Pauloski’s paper “Deep Neural Network Training with Distributed K-FAC” accepted for publication to TPDS. [February 18, 2019]

Marcus Schwarting presents Machine Learning Approaches for XRD Analysis of the HTEM Database at the APS User Science Seminar. [February 18, 2019]

Ricardo B. Lourenço will present Cloud Characterization with Deep Learning at the University of São Paulo on March 28th and the University of Campinas on March 29th. [February 18, 2019]

Kyle Chard’s paper on Cloud Futurology accepted for publication to IEEE Computer 2019. [February 18, 2019]

Ian Foster presents Globus Automate and Globus BoF at eResearch 2019 in Auckland, NZ. [February 18, 2019]

Ian Foster gives a keynote address at Multicore World 2019 entitled “Learning Systems for Science”. [February 13, 2019]

Ricardo Lourenco received an Outstanding Student Paper Award from the American Geophysical Union for his work titled Cloud Characterization with Deep Learning. [January 23, 2019]

Globus Labs will be giving a talk on DLHub at the 2019 IEEE International Parallel & Distributed Processing Symposium (IPDPS) [December 20, 2018]

Matt Baughman, Ryan Chard, Logan Ward, Jason Pitt, Kyle Chard and Ian Foster publish paper, “Profiling and Predicting Application Performance on the Cloud”, at UCC 2018. [December 19, 2018]

Ricardo B. Lourenço and Takuya Kurihana presented a poster at the AGU fall meeting 2018 on understanding Cloud characterization with deep learning [December 12, 2018]

Swift/T, a dataflow programming framework for scientific supercomputing workflows developed in part by Ian Foster, wins a R&D 100 Award. [November 25, 2018]

Tyler Skluzacek presented his Master’s Thesis, “Automated Workflows for Extracting and Deriving Metadata from Disorganized Data Swamps”. [November 19, 2018]

Globus has a great turn out at their booth at the Supercomputing Conference (SC18). You can learn more about it here. [November 17, 2018]

Globus Lab’s summer 2018 REU students Luann Jung and Brendan Whitaker win Undergraduate Award at Supercomputing 2018 for their work on “data swamps”. [November 15, 2018]

Zhi Hong received the “Volunteer of the day” award while volunteering at the SC18 conference. [November 13, 2018]

Kyle Chard presented Parsl’s use in the LSST DESC project to simulate LSST images at the PyHPC workshop. [November 12, 2018]

Kyle Chard presented “Reproducible big data science: A case study in continuous FAIRness” at Research Object Workshop 2018. [October 29, 2018]

Marcus Schwarting joined the Globus Labs Team. Marcus is working on machine learning methods for materials discovery and testing. He will also be working on a project 3M on leveraging machine learning for CFD calculations. He is working on a master’s degree in computer science with an emphasis on machine learning from Georgia Tech. [October 15, 2018]

Logan Ward gave a talk on Materials Database at the Workshop on “Gap Analysis: Materials Discovery through Data Science at Advanced User Light Sources” in Santa Fe, New Mexico. [October 04, 2018]

Yuliana Zamora presented a poster at CERES titled “Data Driven Analysis of GPU Benchmarking”. The poster describes a data-driven framework that makes use of data-analysis tools, such as machine learning and transfer learning, to reduce the time needed for engineers and researchers to predict the performance of a given software kernel on an arbitrary GPU architecture. [October 02, 2018]

Roselyne Tchoua presented a poster at CERES titled “Towards Hybrid Human-Machine Scientific Information Extraction”. The poster describes different combinations of human-machine approaches to extracting scientific facts from the literature, specifically polymer names and properties from a relevant scientific journal in polymer sciences. [October 02, 2018]

Ian attended the 2018 Workshop on Clusters, Clouds, and Data for Scientific Computing (CCDSC) in Lyon, France. He presented on the computer systems challenges raised by the rise of deep learning in science, and technologies that Globus Labs is developing to address those challenges. [September 05, 2018]

The Whole Tale team is holding a Workshop on Tools and Approaches for Publishing Reproducible Research on September 13-14, 2018 at the Big Ten Center in Chicago. [August 24, 2018]

Ian Foster attended JupyterCon, The Official Jupyter Conference. He presented a talk about Scaling collaborative data science with Globus and Jupyter. [August 23, 2018]

Tyler Skluzacek will be giving a talk at eScience 2018, this October in Amsterdam for his accepted paper: Skluma: An extensible metadata extraction pipeline for disorganized data. [August 15, 2018]

Takuya Kurihana has joined Globus Labs as a PhD student! Takuya earned his BS in Meteorology from University of Tsukuba, where he studied data assimilation for weather forecasting application. He will be working with Liz Moyer in Geophysical science department to apply Deep Learning for the development of climate model. [August 11, 2018]

Logan Ward presented at the NIST Workshop on Artificial Intelligence for Materials Science (AIMS) on how machine learning can be combined with atomic scale calculations. [August 07, 2018]

Roselyne Tchoua gave an invited talk for a poster submitted to the 2018 New York Scientific Data Summit (NYSDS) about how to use word embedding to generate training data for scientific named entity recognition. [August 06, 2018]

Kyle Chard presented Parsl at the Data Visualization and Exploration in the LSST Era workshop held at NCSA, the University of Illinois. [June 19, 2018]

Ricardo Barros Lourenco presented “Atmospheric Cloud Characterization with Deep Learning on Google Earth Engine” at Google Earth Engine User Summit 2018. [June 13, 2018]

High-Throughput Neuroanatomy and Trigger-Action Programming: A Case Study in Research Automation. 1st International Workshop on Autonomous Infrastructure for Science. [June 11, 2018]

Logan Ward had his paper “Matminer: An open source toolkit for materials data mining” published in Computational Materials Science Journal. [June 07, 2018]

Logan Ward gives talk on “machine learning and materials modeling” at CECAM workshop [June 07, 2018]

Ian Foster and Kyle Chard had their paper “Predicting Amazon Spot Prices with LSTM Networks” accepted at ScienceCloud ‘18 [June 01, 2018]

Kyle Chard gave a presentation entitled “Parsl: A Parallel Scripting Library for Python” at Notre Dame University [May 31, 2018]

Globus Labs joined past and present researchers of the Computation Institute to discuss how the accomplishments of the institute since 1999 teach us about the next 20 years of computational research at UChicago, Argonne, and beyond. [May 16, 2018]

A full webcast of Logan Ward’s talk at the International Workshop on Machine Learning for Materials Science is available online [May 04, 2018]

Globus Labs slides from Ian Foster’s Globus World 2018 keynote are available online [April 25, 2018]

Kyle Chard will be giving a presentation about Parsl - a parallel scripting library for Python - at Scipy 2018 this July in Austin. We hope to see you there! [April 05, 2018]

Ian Foster gave a keynote presentation about “Going Smart and Deep on Materials” at the Annual Meeting of The Minerals, Metals, and Materials Society (TMS) society. There, he talked about our work towards making data science more prevalent in materials engineering. [March 13, 2018]

Anna Woodard has joined Globus Labs as a postdoc! Anna earned her PhD in Physics from Notre Dame, where she studied top quarks as part of the CMS collaboration. She will be working with Kyle Chard to simplify parallel computing in Python as part of the Parsl Project. [March 05, 2018]

BigDataX Research Experiences for Undergraduates funded by NSF. More info here. [February 09, 2018]

Kyle Chard gave a presentation at UIUC titled “Parsl: A Parallel Scripting Library for Python”. Learn more about Parsl here. [February 03, 2018]

Check out Ian Foster’s post on his New Year’s Relections on Globus. [January 30, 2018]

SRC: Assessing Verticalization Effects on Urban Safety Perception. ACM SIGSPATIAL Special, 2018. [January 19, 2018]

Ian Foster and Logan Ward attended a Deep Learning Workshop at Argonne National Laboratory on Jan. 16, 2018. Ian presented about deep learning at ANL as the new lead of the Data Science and Learning Division; Logan presented about deep learning and materials design. [January 16, 2018]

Ian Foster attended the 24th IEEE International Conference on High Performance Computing, Data and Analytics (HiPC) in Jaipur, India. He presented a keynote talk entitled “Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales” on Dec. 21, 2017.

[January 16, 2018]

Ian Foster has been appointed to lead Argonne National Laboratory’s new Data Science and Learning Division on Nov. 08, 2017. [January 04, 2018]

Ian Foster has presented a demo on a service that integrates data from the Materials Data Facility to Argonne Leadership Computing Facility, using Globus, at the SC’17 Supercomputing Conference in Denver, CO on Nov. 14, 2017. [January 04, 2018]

Tyler Skluzacek and Yuliana Zamora received honors at the 2017 annual CERES summit at the University of Chicago on Sept. 27, 2017. [December 15, 2017]

RIPPLE: Home Automation for Research Data Management. First International Workshop on Serverless Computing (WoSC), 2017. [June 02, 2017]

Skluma: A statistical learning pipeline for taming unkempt data repositories. 29th International Conference on Scientific and Statistical Database Management (SSDBM), 2017. [April 24, 2017]

Explaining Wide Area Data Transfer Performance. ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC), 2017. [April 08, 2017]

Our paper Experimental Analysis of File Transfer Rates Over Wide-Area Dedicated Connections received the best paper award at the 18th IEEE International Conference on High Performance Computing and Communications, 2016. [December 20, 2016]

Our paper Globus Auth: A Research Identity and Access Management Platform received a best of conference award at the IEEE 12th International Conference on eScience, 2016. [November 26, 2016]

William Agnew received the first place award in the ACM Student Research Competition for his paper titled Touring Dataland? Automated Recommendations for the Big Data Traveler. [November 16, 2016]

Klimatic: A Virtual Data Lake for Harvesting and Distribution of Geospatial Data. 1st Joint International Workshop on Parallel Data Storage & Data Intensive Scalable Computing Systems (PDSW-DISCS), 2016. [November 16, 2016]

Kyle Chard received the IEEE Computer Science Technical Committee on High Performance Computing (HPC) Award for Excellence for Early Career Researchers in HPC. [November 16, 2016]

We have several Postdoc and Ph.D. student positions available. Join Us. [September 24, 2016]

A Hybrid Human-computer Approach to the Extraction of Scientific Facts from the Literature. Procedia Computer Science 80, 386-397. [September 24, 2016]

Globus Auth: A Research Identity and Access Management Platform. Ian Foster. eScience 2016, Baltimore MD, Oct 25. [September 24, 2016]