272 citations · 2.5k across the 136 of their papers we have counts for
9 papers · 1 filter
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…
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…
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…
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…
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…
Deployment of Real-Time Network Traffic Analysis using GraphBLAS Hypersparse Matrices and D4M Associative Arrays
Michael Jones, Jeremy Kepner, Andrew Prout +20
Matrix/array analysis of networks can provide significant insight into their behavior and aid in their operation and protection. Prior work has demonstrated the analytic, performan…
Toward Sustainable HPC: Carbon Footprint Estimation and Environmental Implications of HPC Systems
Baolin Li, Rohan Basu Roy, Daniel Wang +3
The rapid growth in demand for HPC systems has led to a rise in carbon footprint, which requires urgent intervention. In this work, we present a comprehensive analysis of the carbo…
Clover: Toward Sustainable AI with Carbon-Aware Machine Learning Inference Service
Baolin Li, Siddharth Samsi, Vijay Gadepally +1
This paper presents a solution to the challenge of mitigating carbon emissions from hosting large-scale machine learning (ML) inference services. ML inference is critical to modern…
A Green(er) World for A.I
Dan Zhao, Nathan C. Frey, Joseph McDonald +6
As research and practice in artificial intelligence (A.I.) grow in leaps and bounds, the resources necessary to sustain and support their operations also grow at an increasing pace…