26 citations · 155 across the 46 of their papers we have counts for
51 papers
PingpongDuo: Agile Humanoid Table Tennis Doubles with Safe Team Coordination
Haoran Jiang, Yichao Zhong, Kai Zhang +6
Unlike singles, humanoid table tennis doubles requires teammates to strike in strict alternation while sharing a confined workspace. Rapid repositioning can compromise striking acc…
SAIVE: Selecting AI Valuable Entities
Inna Voloshchuk, Hayden Jananthan, Jeremy Kepner
Data lakes store large amounts of telemetry, with logs from network sensors, hosts, and applications containing possibly hundreds of fields for every event. Large enterprises are t…
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…
Agentic Network Traffic Monitoring
Manuel Tsoukatos, Hayden Jananthan, Jeremy Kepner
As the use of agentic artificial intelligence increases in nearly every industry, there exists a widening attack surface. It is necessary to monitor agents to ensure that agents ar…
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…
Improving the Graph Challenge Reference Implementation
Inna Voloshchuk, Hayden Jananthan, Chansup Byun +1
The MIT/IEEE/Amazon Graph Challenge provides a venue for individuals and teams to showcase new innovations in large-scale graph and sparse data analysis. The Anonymized Network Sen…
Complexity of One-Dimensional ReLU DNNs
Jonathan Kogan, Hayden Jananthan, Jeremy Kepner
We study the expressivity of one-dimensional (1D) ReLU deep neural networks through the lens of their linear regions. For randomly initialized, fully connected 1D ReLU networks (He…
Advancing AI Challenges for the United States Department of the Air Force
Christian Prothmann, Vijay Gadepally, Jeremy Kepner +35
The DAF-MIT AI Accelerator is a collaboration between the United States Department of the Air Force (DAF) and the Massachusetts Institute of Technology (MIT). This program pioneers…
Performance and Numerical Aspects of Decompositional Factorizations with FP64 Floating-Point Emulation in INT8
Piotr Luszczek, Vijay Gadepally, LaToya Anderson +18
Mixing precisions for performance has been an ongoing trend as the modern hardware accelerators started including new, and mostly lower-precision, data formats. The advantage of us…
GraphBLAS Mathematical Opportunities: Parallel Hypersparse, Matrix Based Graph Streaming, and Complex-Index Matrices
Hayden Jananthan, Jeremy Kepner, Michael Jones +5
The GraphBLAS high performance library standard has yielded capabilities beyond enabling graph algorithms to be readily expressed in the language of linear algebra. These GraphBLAS…
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…
Accelerating AI Development with Cyber Arenas
William Cashman, Chasen Milner, Michael Houle +5
AI development requires high fidelity testing environments to effectively transition from the laboratory to operations. The flexibility offered by cyber arenas presents a novel opp…
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…
Cyber Orbits of Large Scale Network Traffic
Jeremy Kepner, Hayden Jananthan, Chasen Milner +4
The advent of high-performance graph libraries, such as the GraphBLAS, has enabled the analysis of massive network data sets and revealed new models for their behavior. Physical an…
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…
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…
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…
Hypersparse Traffic Matrices from Suricata Network Flows using GraphBLAS
Michael Houle, Michael Jones, Dan Wallmeyer +8
Hypersparse traffic matrices constructed from network packet source and destination addresses is a powerful tool for gaining insights into network traffic. SuiteSparse: GraphBLAS,…
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…
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…
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…
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…
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…
Testing RadiX-Nets: Advances in Viable Sparse Topologies
Kevin Kwak, Zack West, Hayden Jananthan +1
The exponential growth of data has sparked computational demands on ML research and industry use. Sparsification of hyper-parametrized deep neural networks (DNNs) creates simpler r…