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.
HTCondor Software Suite (HTCSS) provides an array of services for automating and managing High Throughput workloads and computing capacity.
HTCSS Impact
View the contributions of HTCSS to the world of computing, scientific research, and the projects using it across the globe.
See the Impact of HTCSS
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.
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.
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.
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.
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.