News

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 13, 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 11, 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 03, 2019

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

September 02, 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 01, 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!

August 31, 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 30, 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 29, 2019

Takuya Kurihana’s paper “Cloud Characterization with Deep Learning” accepted to Climate Informatics 2019.

August 28, 2019

Ryan Chard previews Globus Automate at the September Campus Research Computing Consortium meeting.

August 27, 2019

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

August 26, 2019

Globus Labs project funcX featured in HPC-Wire. Check it out here!

August 15, 2019

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

August 02, 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!

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 25, 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 22, 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 09, 2019

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

July 08, 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.

June 28, 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 26, 2019

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

June 25, 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 24, 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 12, 2019

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

June 08, 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 .

May 22, 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 21, 2019

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

May 20, 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 18, 2019

Globus Labs has three papers on DLHub, Parsl, and Petrel accepted to PEARC19.

May 15, 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 04, 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 03, 2019

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

April 30, 2019

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

April 11, 2019

Our paper Reproducible big data science: A case study in continuous FAIRness was published in PLOS One.

April 03, 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 02, 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.

March 22, 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 20, 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 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 11, 2019

Ian Foster named recipient of the 2019 IEEE Computer Society Charles Babbage Award! Congratulations!

March 10, 2019

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

February 28, 2019

Ryan Chard presents DLHub at CANDLE Workshop.

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 13, 2019

Ian Foster gives a keynote address at Multicore World 2019 entitled “Learning Systems for Science”.

January 23, 2019

Ricardo Lourenco received an Outstanding Student Paper Award from the American Geophysical Union for his work titled Cloud Characterization with Deep Learning.

December 20, 2018

Globus Labs will be giving a talk on DLHub at the 2019 IEEE International Parallel & Distributed Processing Symposium (IPDPS)

December 19, 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 12, 2018

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

November 25, 2018

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

November 19, 2018

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

November 17, 2018

Globus has a great turn out at their booth at the Supercomputing Conference (SC18). You can learn more about it here.

November 15, 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 13, 2018

Zhi Hong received the “Volunteer of the day” award while volunteering at the SC18 conference.

November 12, 2018

Kyle Chard presented Parsl’s use in the LSST DESC project to simulate LSST images at the PyHPC workshop.

October 29, 2018

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

October 15, 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 04, 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 02, 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.

September 05, 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.

August 24, 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 23, 2018

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

August 15, 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 11, 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 07, 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 06, 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.

June 19, 2018

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

June 13, 2018

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

June 11, 2018

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

June 07, 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 01, 2018

Ian Foster and Kyle Chard had their paper “Predicting Amazon Spot Prices with LSTM Networks” accepted at ScienceCloud ‘18

May 31, 2018

Kyle Chard gave a presentation entitled “Parsl: A Parallel Scripting Library for Python” at Notre Dame University

May 16, 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 04, 2018

A full webcast of Logan Ward’s talk at the International Workshop on Machine Learning for Materials Science is available online

April 25, 2018

Globus Labs slides from Ian Foster’s Globus World 2018 keynote are available online

April 05, 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!

March 13, 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 05, 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.

February 09, 2018

BigDataX Research Experiences for Undergraduates funded by NSF. More info here.

February 03, 2018

Kyle Chard gave a presentation at UIUC titled “Parsl: A Parallel Scripting Library for Python”. Learn more about Parsl here.

January 30, 2018

Check out Ian Foster’s post on his New Year’s Relections on Globus.

January 19, 2018

SRC: Assessing Verticalization Effects on Urban Safety Perception. ACM SIGSPATIAL Special, 2018.

January 16, 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 04, 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.

December 15, 2017

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

June 02, 2017

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

April 24, 2017

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

April 08, 2017

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

December 20, 2016

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.

November 26, 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 16, 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.

September 24, 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.