activity
20162024
most citedInteractive Supercomputing on 40,000 Cores for Machine Learning and Data Analysis

272 citations · 1.5k across the 62 of their papers we have counts for

collaborators

63 papers

cs.DC2024

LLload: Simplifying Real-Time Job Monitoring for HPC Users

Chansup Byun, Julia Mullen, Albert Reuther +16

One of the more complex tasks for researchers using HPC systems is performance monitoring and tuning of their applications. Developing a practice of continuous performance improvem…

cs.AI2023

Lincoln AI Computing Survey (LAICS) Update

Albert Reuther, Peter Michaleas, Michael Jones +3

This paper is an update of the survey of AI accelerators and processors from past four years, which is now called the Lincoln AI Computing Survey - LAICS (pronounced "lace"). As in…

cs.CL2023★ 15 cited

From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference

Siddharth Samsi, Dan Zhao, Joseph McDonald +7

Large language models (LLMs) have exploded in popularity due to their new generative capabilities that go far beyond prior state-of-the-art. These technologies are increasingly bei…

cs.SI2023

Mapping of Internet "Coastlines" via Large Scale Anonymized Network Source Correlations

Hayden Jananthan, Jeremy Kepner, Michael Jones +25

Expanding the scientific tools available to protect computer networks can be aided by a deeper understanding of the underlying statistical distributions of network traffic and thei…

cs.DC2023★ 7 cited

pPython Performance Study

Chansup Byun, William Arcand, David Bestor +17

pPython seeks to provide a parallel capability that provides good speed-up without sacrificing the ease of programming in Python by implementing partitioned global array semantics…

cs.NI2023★ 3 cited

Focusing and Calibration of Large Scale Network Sensors using GraphBLAS Anonymized Hypersparse Matrices

Jeremy Kepner, Michael Jones, Phil Dykstra +23

Defending community-owned cyber space requires community-based efforts. Large-scale network observations that uphold the highest regard for privacy are key to protecting our shared…