Advancing Open Science: The Pelican Project's Pursuit of Universal Data Accessibility

CHTC kicks off its 2024 summer fellowship program.

Throughput Computing Week 2024 Brings Together the HTC Community

Story on the inaugural 2024 CHTC Fellows Program was designed to immerse undergraduate and graduate students in the world of high throughput computing.

The 2024 European Autumn HTCondor Workshop set out to grow a community with HTCondor users and developers and to advance scientific research endeavors.

Astronomers and computer scientists at the University of Hawaiʻi, Moana are unlocking the Sun’s magnetic mysteries with the help of cutting-edge data caching and transfer applications provided by the Pelican Project and the Open Science Data Federation (OSDF).

This feature centers on news updates from the Center For High Throughput Computing; ranging from the growing HTC international community to fostering new relationships with other American institutions to centering on the ethics of throughput computing use and distribution.

Showcasing both technical advances and real-world applications of HTCondor, the 2025 HTCondor European Workshop was held at the Institute of Physics of the Czech Academy of Sciences (FZU) in Prague from September 16-19.

The second annual CHTC Researcher Forum took place on February 17th 2026, connecting CHTC users and research computing community members across UW-Madison campus. The event started off with an introductory presentation from PI Brian Bockleman, followed by Center for Throughput Computing “CHTC” updates from the Research Facilitation team. UW-Madison alumni Dr. Ariana Neigreiro gave the keynote address on her work using HTCondor, DAGman workflows, and Pelican to develop tools for dairy cattle management.

A conversation with CHTC Web Developer, Cannon Lock.

From 2024 to 2026, the OSPool saw a 48% increase in users, rising to 730 users in 2026 (last 12 months). The OSPool, a shared computing capacity available to researchers at U.S. academic institutions, has seen significant growth in numbers over the last two years.

Scaling machine learning through the power of the Partnership to Advance Throughput Computing (PATh) and the NAIRR Pilot