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Throughput Computing Week 2026

Jun 9 – 12, 2026
Fluno Center on the University of Wisconsin-Madison Campus
America/Chicago timezone

Questions about attending, speaking, accommodations, and other concerns

Contribution List

37 out of 37 displayed
  1. 6. A Perspective from Smaller Institutions
    Jason Simms (Swarthmore College)
    6/9/26, 9:30 AM
  2. 43. TBD
    Ewa Deelman (USC Information Sciences Institute)
    6/9/26, 10:00 AM
  3. 8. Welcome to HTC26
    Brian Bockelman (Morgridge Institute for Research)
    6/9/26, 11:00 AM
  4. 9. LLM Assisted Facilitation
    Christina Koch (UW Madison)
    6/9/26, 11:15 AM
  5. 10. Meeting Users Where They Are: Grounding AI Agents with 'CHTC Help!' MCP
    Dr Andrew Owen (Center for High Throughput Computing)
    6/9/26, 11:40 AM

    The interface between researchers and computing systems is shifting: users are reading documentation even less than before and are instead asking AI agents for answers. That means in order to get users the correct, up-to-date information, we have to make sure the AI agent can as well. We've developed a prototype tool "CHTC Help!" based on the Model Context Protocol (MCP) to bridge the gap...

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  6. 11. David Swanson Award and Researcher Presentation
    6/9/26, 12:05 PM
  7. 17. Keynote: The Present and the Future of Multi-Messenger Astrophysics
    Dr Michael Coughlin (University of Minnesota)
    6/9/26, 1:40 PM

    With the detection of compact binary coalescences and their electromagnetic counterparts by gravitational-wave detectors, a new era of multi-messenger astronomy has begun. In this talk, I will describe how data science is enabling the gravitational-wave community to make very low-latency detection and parameter estimation possible within the alert system. I will then discuss how current ground...

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  8. 28. Title - TBD: Topic - Real-Time Pipeline Latency
    Kendall Ackley (University of Warwick/Gravitational-wave Optical Transient Observer)
    6/9/26, 3:05 PM
  9. 29. Title: TBD Topic: ZTH/Rubin Kilonova Searches (Remote Presentation)
    Shreya Anand (Standford University)
    6/9/26, 3:30 PM
  10. 32. On the role of multimodality for the real-time discovery and classification of transients
    Ved Shah (Northwestern University)
    6/9/26, 3:50 PM

    The Rubin Observatory is detecting an unprecedented number of transients each night, exceeding the classification capacity of all existing spectroscopic resources my several orders of magnitude. As a result, robust photometric classifications will be essential both for assembling complete samples of different transient subtypes and for identifying events that warrant spectroscopic follow-up....

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  11. 33. Title: TBD Topic: Modeling GRBs across Different Length and Time Scales
    Nathan Walker (Oregon State University)
    6/9/26, 4:15 PM
  12. 5. Campus Contributors: What's New?
    Christina Koch (UW Madison), Tim Cartwright (University of Wisconsin–Madison, OSG)
    6/10/26, 9:00 AM
  13. 7. A Statewide Perspective from a REN
    Dr Pierrette Dagg (MERIT)
    6/10/26, 9:20 AM
  14. 39. The VLA Sky Survey and multi-messenger astronomy
    Mark Lacy
    6/10/26, 11:00 AM

    The VLA Sky Survey images the whole sky at 2-4GHz in the radio with angular resolution comparable to optical telescopes, providing a unique reference survey for the radio sky. Multi-epoch data allows variable sources and transients to be found and characterized and spectral and polarimetric information is also recorded. Processing the large amount of data from this survey is a significant...

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  15. 44. TBD (Remote Presentation)
    Alessandra Corsi (John Hopkins University)
    6/10/26, 11:25 AM
  16. 35. TBD
    Nicholas Minor (Dave O'Connor's Laboratory/UW-Madison)
    6/10/26, 1:30 PM
  17. 20. Agents and Birds - Leveraging LLMs for Throughput Computing
    Brian Bockelman (Morgridge Institute for Research)
    6/10/26, 1:55 PM
  18. 21. YOL-No: Guiding Agent Usage on the Access point
    Ian Ross (U. Wisconsin)
    6/10/26, 2:20 PM
  19. 22. Pegasus & AI Technologies
    Dr Ewa Deelman (USC Information Sciences Institute)
    6/10/26, 2:40 PM
  20. 23. Booster rockets for Birds: New Backends for the Pelican Origin
    Justin Hiemstra (Morgridge Institute for Research)
    6/10/26, 3:30 PM
  21. 24. Sharing Data: Authentication, Users, and Group Management in Pelican
    Brian Aydemir (Morgridge Institute for Research, UW–Madison)
    6/10/26, 3:55 PM
  22. 30. From Per-Job Data to an Aggregated Workload Insight: A Toolkit for Profiling HTCondor Workload
    Kashika Mahajan (UW-Center for High Throughput Computing)
    6/11/26, 10:10 AM

    Researchers using HTCondor for high-throughput computing routinely submit groups of related jobs, known as Clusters, ranging from hundreds to tens of thousands of jobs each. Current tools report per-job data, making it difficult to diagnose Cluster-wide issues such as jobs stuck on hold, poor resource utilization, or unexpected failures. We present a Python toolkit, to be included as a part of...

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  23. 19. OrangeGrid Cloud Workers
    Peter Pizzimenti
    6/11/26, 1:30 PM

    OrangeGrid Cloud Workers is the infrastructure that lets Syracuse University's on premises HTCondor cluster overflow into public cloud spot instances when campus capacity runs out. A researcher submits a job the same way they always have, condor_submit my.sub from a campus submit host, and if the job opts in with +WantCloudBurst = "...", it can land on an ephemeral VM running in any public...

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  24. 25. Todd or Bot Game Show
    Greg Thain (Center for High Throughput Computing), Todd Tannenbaum (University of Wisconsin)
    6/11/26, 4:00 PM
  25. 37. TBD
    Jingyan Shi (INSTITUTE OF HIGH ENERGY PHYSICS, Chinese Academy of Science)
    6/12/26, 9:00 AM
  26. 15. A Tale of Two Ecosystems: Model Training in the OSPool and NAIRR
    Ian Ross (U. Wisconsin)
    6/12/26, 9:25 AM
  27. 16. Where's the Big Data for Protein Dynamics?
    Hannah Wayment-Steele (UW-Madison)
    6/12/26, 9:45 AM
  28. 12. Enabling Large-Scale and Ultra-Large AlphaFold3 Predictions with Distributed High-Throughput Computing
    Daniel (Danny) Morales (UW-Center for High Throughput Computing)
    6/12/26, 10:10 AM

    AlphaFold 3 (AF3) enables atomic-resolution prediction of biomolecular complexes, driving rapidly growing demand across the life sciences. However, its ~750 GB reference database has effectively confined production deployments to systems with shared parallel filesystems, creating a major barrier for scalability. Distributed high-throughput computing (dHTC) platforms offer vast, heterogeneous...

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  29. 18. MCP for HTCondor Admins
    6/12/26, 11:00 AM
  30. 13. Cluster Metrics for External Services
    Ron Tapia (Penn State University)
    6/12/26, 11:25 AM

    Discussion of metrics that Condor can provide about the performance of external services. Condor has a unique view of the performance of the services that it uses on behalf of jobs. Examples of external services include file transfer plugins and credmons. Individual failures are not very interesting to cluster administrators, but widespread failures affecting many jobs are. What sort of...

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  31. 3. Climate Policy Modeling with HTCondor
    Ken Judd (Stanford University)

    HTCondor was used to develop DPSOL, a framework for solving dynamic programming problems. It was the foundation for DSICE which merged dynamic and stochastic factors in economics and the climate, and analyzed the social cost of carbon, the cost of a two-degree target and the value of carbon capture and sequestration.

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  32. 38. Heterogeneous Prompt Processing Challenges in DUNE
    Steven Timm (Fermilab (DUNE))

    DUNE faces unique challenges for data management and movement due to its very large event record size, needs for immediate prompt processing, and requirements for heterogeneous computing across an internationally distributed compute and storage system. We describe DUNE's current use of high throughput and high performance computing, including the growing AI/ML component, and the challenges we...

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  33. 27. JAWS and the Backend Architecture: HTCondor and Pool Management for Portable Scientific Workflows
    Seung-Jin Sul (Staff Software Engineer, U.S. Department of Energy (DOE) Joint Genome Institute (JGI), Lawrence Berkeley National Laboratory)

    Authors

    Seung-Jin Sul*, Mario Melara, Ramani Kothadia, Ludovico Bianchi, Joshua Boverhof, Nick Tyler, Daniela Cassol, Mike Sneddon, Setareh Sarrafan, Kjiersten Fagnan
    Lawrence Berkeley National Laboratory, Berkeley, CA, USA

    Abstract

    Scientific workflows at the DOE Joint Genome Institute (JGI) increasingly need to run across multiple high-performance computing facilities, but...

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  34. 34. OSG Security Status and The Future
    Mark Krenz (Indiana University)

    This will be a high level overview of the security team's activities on OSG, what we're responsible for, and where we're going. It will provide summary metrics of what we've done, a short overview of the security exercise we've performed for US CMS and US ATLAS, and talk about us preparing for the coming wave of super AI that will discover all the zero days all at once.

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  35. 36. TBD
    Jingyan Shi (INSTITUTE OF HIGH ENERGY PHYSICS, Chinese Academy of Science)
  36. 2. The IceCube CredMon - Going Beyond the Manual to Support Pelican
    David Schultz (University of Wisconsin-Madison)

    If the built-in HTCondor OAuth2 doesn't meet your needs, you can always choose to do your own thing. In this talk, we show how and why IceCube wrote a custom token storer and CredMon to handle OAuth2 token creation and refresh. While custom code allows exactly matching the IceCube workflow, the main defining feature is not having to ask command line users to do an additional web login. Along...

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  37. 31. Title: TBD; Subject NANOGrav