activity
20162026
most citedInteractive Supercomputing on 40,000 Cores for Machine Learning and Data Analysis

272 citations · 665 across the 59 of their papers we have counts for

collaborators

61 papers

cs.PF2026

Easy Multi-Precision Acceleration via Vectorization

Chansup Byun, Piotr Luszczek, Jeremy Kepner +18

High level programming languages and accelerators are powerful enablers for a wide range of applications. Accelerators offer significant performance via diverse numeric precision a…

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…

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

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

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…

cs.NI2024★ 2 cited

What is Normal? A Big Data Observational Science Model of Anonymized Internet Traffic

Jeremy Kepner, Hayden Jananthan, Michael Jones +26

Understanding what is normal is a key aspect of protecting a domain. Other domains invest heavily in observational science to develop models of normal behavior to better detect ano…

cs.NI2024★ 8 cited

Anonymized Network Sensing Graph Challenge

Hayden Jananthan, Michael Jones, William Arcand +26

The MIT/IEEE/Amazon GraphChallenge encourages community approaches to developing new solutions for analyzing graphs and sparse data derived from social media, sensor feeds, and sci…

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.CR2024★ 2 cited

Teaching Network Traffic Matrices in an Interactive Game Environment

Chasen Milner, Hayden Jananthan, Jeremy Kepner +7

The Internet has become a critical domain for modern society that requires ongoing efforts for its improvement and protection. Network traffic matrices are a powerful tool for unde…

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…

cs.NI2023★ 6 cited

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…

cs.NI2022

Hypersparse Network Flow Analysis of Packets with GraphBLAS

Tyler Trigg, Chad Meiners, Sandeep Pisharody +23

Internet analysis is a major challenge due to the volume and rate of network traffic. In lieu of analyzing traffic as raw packets, network analysts often rely on compressed network…

cs.DC2022★ 2 cited

Python Implementation of the Dynamic Distributed Dimensional Data Model

Hayden Jananthan, Lauren Milechin, Michael Jones +17

Python has become a standard scientific computing language with fast-growing support of machine learning and data analysis modules, as well as an increasing usage of big data. The…

cs.DC2022★ 5 cited

pPython for Parallel Python Programming

Chansup Byun, William Arcand, David Bestor +18

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.DC2022★ 4 cited

The MIT Supercloud Workload Classification Challenge

Benny J. Tang, Qiqi Chen, Matthew L. Weiss +24

High-Performance Computing (HPC) centers and cloud providers support an increasingly diverse set of applications on heterogenous hardware. As Artificial Intelligence (AI) and Machi…

cs.NI2022★ 4 cited

Temporal Correlation of Internet Observatories and Outposts

Jeremy Kepner, Michael Jones, Daniel Andersen +26

The Internet has become a critical component of modern civilization requiring scientific exploration akin to endeavors to understand the land, sea, air, and space environments. Und…

cs.NI2022★ 11 cited

GraphBLAS on the Edge: Anonymized High Performance Streaming of Network Traffic

Michael Jones, Jeremy Kepner, Daniel Andersen +25

Long range detection is a cornerstone of defense in many operating domains (land, sea, undersea, air, space, ..,). In the cyber domain, long range detection requires the analysis o…

cs.NI2022★ 18 cited

New Phenomena in Large-Scale Internet Traffic

Jeremy Kepner, Kenjiro Cho, KC Claffy +16

The Internet is transforming our society, necessitating a quantitative understanding of Internet traffic. Our team collects and curates the largest publicly available Internet traf…

cs.DC2021★ 4 cited

3D Real-Time Supercomputer Monitoring

Bill Bergeron, Matthew Hubbell, Dylan Sequeira +17

Supercomputers are complex systems producing vast quantities of performance data from multiple sources and of varying types. Performance data from each of the thousands of nodes in…