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How one Researcher Uses CHTC To Fill in the Gaps in AI


Observing gaps in Large Language Models’ (LLMs’) abilities to process tabular data motivated UW-Madison Computer Sciences PhD candidate Sonia Cromp to develop Tabby, an architecture modification to LLMs that improves how they handle structured data.

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HTCondor Software Suite (HTCSS) provides an array of services for automating and managing High Throughput workloads and computing capacity.

HTCondor is a software system that creates a High-Throughput Computing (HTC) environment. It effectively uses the computing power of machines connected over a network, be they a single cluster, a set of clusters on a campus, cloud resources either standalone or temporarily joined to a local cluster, or international grids. Power comes from the ability to effectively harness shared resources with distributed ownership.

Learn More About HTCondor

The HTCondor-CE software is a Compute Entrypoint (CE) based on HTCondor for sites that are part of a larger computing grid (e.g. European Grid Infrastructure, Open Science Grid). As such, HTCondor-CE serves as a "door" for incoming resource allocation requests (RARs) — it handles authorization and delegation of these requests to a grid site's local batch system. Supported batch systems include Grid Engine, HTCondor, LSF, PBS Pro/Torque, and Slurm.

Learn More About HTCondor-CE

HTCondor is a software system that creates a High-Throughput Computing (HTC) environment. It effectively uses the computing power of machines connected over a network, be they a single cluster, a set of clusters on a campus, cloud resources either standalone or temporarily joined to a local cluster, or international grids. Power comes from the ability to effectively harness shared resources with distributed ownership.

Learn More About HTCondor

The HTCondor-CE software is a Compute Entrypoint (CE) based on HTCondor for sites that are part of a larger computing grid (e.g. European Grid Infrastructure, Open Science Grid). As such, HTCondor-CE serves as a "door" for incoming resource allocation requests (RARs) — it handles authorization and delegation of these requests to a grid site's local batch system. Supported batch systems include Grid Engine, HTCondor, LSF, PBS Pro/Torque, and Slurm.

Learn More About HTCondor-CE

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HTCondor comes with Python Bindings!


Ken Judd presenting at HTC26

Transforming Economic Research with High Throughput Computing

July 23, 2026

“How can HTCondor be used for economics?” asked Dr. Kenneth Judd, Senior Fellow at the Hoover Institution, when he presented his work on using high throughput computing (HTC) to model climate policy, and how the field of economics can utilize HTC.

HTCSS User Map

HTCSS is used by academic, government, and commercial organizations across the globe looking to manage their computational workloads. Add your organization to the map below!

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