96 citations · 274 across the 34 of their papers we have counts for
26 papers · 1 filter
Lincoln AI Computing Survey (LAICS) and Trends
Albert Reuther, Peter Michaleas, Michael Jones +2
In the past year, generative AI (GenAI) models have received a tremendous amount of attention, which in turn has increased attention to computing systems for training and inference…
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…
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…
Supercomputer 3D Digital Twin for User Focused Real-Time Monitoring
William Bergeron, Matthew Hubbell, Daniel Mojica +17
Real-time supercomputing performance analysis is a critical aspect of evaluating and optimizing computational systems in a dynamic user environment. The operation of supercomputers…
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…
LLM Inference Serving: Survey of Recent Advances and Opportunities
Baolin Li, Yankai Jiang, Vijay Gadepally +1
This survey offers a comprehensive overview of recent advancements in Large Language Model (LLM) serving systems, focusing on research since the year 2023. We specifically examine…