activity
20242026
most citedGPU Sharing with Triples Mode

1 citations · 2 across the 6 of their papers we have counts for

collaborators

8 papers

cs.RO2026

PingpongDuo: Agile Humanoid Table Tennis Doubles with Safe Team Coordination

Haoran Jiang, Yichao Zhong, Kai Zhang +6

Unlike singles, humanoid table tennis doubles requires teammates to strike in strict alternation while sharing a confined workspace. Rapid repositioning can compromise striking acc…

cs.NI2026

Analyzing 10 Petabit/s Network Data with Accelerated Associative (Token) Arrays

Jeremy Kepner, Hayden Jananthan, LaToya Anderson +19

As networks expand and become an ever more critical infrastructure to modern society the need to analyze these networks with the highest regard for privacy is essential to ensure t…

math.NA2025

Performance and Numerical Aspects of Decompositional Factorizations with FP64 Floating-Point Emulation in INT8

Piotr Luszczek, Vijay Gadepally, LaToya Anderson +18

Mixing precisions for performance has been an ongoing trend as the modern hardware accelerators started including new, and mostly lower-precision, data formats. The advantage of us…

cs.NI2025

DBOS Network Sensing: A Web Services Approach to Collaborative Awareness

Sophia Lockton, Jeremy Kepner, Michael Stonebraker +26

DBOS (DataBase Operating System) is a novel capability that integrates web services, operating system functions, and database features to significantly reduce web-deployment effort…

cs.DC2025

Easy Acceleration with Distributed Arrays

Jeremy Kepner, Chansup Byun, LaToya Anderson +20

High level programming languages and GPU accelerators are powerful enablers for a wide range of applications. Achieving scalable vertical (within a compute node), horizontal (acros…

cs.DC2024★ 1 cited

GPU Sharing with Triples Mode

Chansup Byun, Albert Reuther, LaToya Anderson +19

There is a tremendous amount of interest in AI/ML technologies due to the proliferation of generative AI applications such as ChatGPT. This trend has significantly increased demand…

cs.PF2024★ 1 cited

LLload: An Easy-to-Use HPC Utilization Tool

Chansup Byun, Albert Reuther, Julie Mullen +19

The increasing use and cost of high performance computing (HPC) requires new easy-to-use tools to enable HPC users and HPC systems engineers to transparently understand the utiliza…

cs.DC2024

HPC with Enhanced User Separation

Andrew Prout, Albert Reuther, Michael Houle +19

HPC systems used for research run a wide variety of software and workflows. This software is often written or modified by users to meet the needs of their research projects, and ra…