activity
20192026
most citedFrom Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference

15 citations · 21 across the 11 of their papers we have counts for

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6 papers · 1 filter

cs.DC2026

TX-Digital Twin: Visualizing Supercomputer GPU Performance Data Stream

Elena Baskakova, William Bergeron, Matthew Hubbell +2

Supercomputers are complex, dynamic systems that serve thousands of users and are built with thousands of compute nodes. Due to the vast amounts of system and performance data need…

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

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…

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.DC2020

75,000,000,000 Streaming Inserts/Second Using Hierarchical Hypersparse GraphBLAS Matrices

Jeremy Kepner, Tim Davis, Chansup Byun +16

The SuiteSparse GraphBLAS C-library implements high performance hypersparse matrices with bindings to a variety of languages (Python, Julia, and Matlab/Octave). GraphBLAS provides…

cs.DC2019

Streaming 1.9 Billion Hypersparse Network Updates per Second with D4M

Jeremy Kepner, Vijay Gadepally, Lauren Milechin +15

The Dynamic Distributed Dimensional Data Model (D4M) library implements associative arrays in a variety of languages (Python, Julia, and Matlab/Octave) and provides a lightweight i…