8 citations · 12 across the 9 of their papers we have counts for
10 papers
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…
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…
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…
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…
Echoes of the hidden: Uncovering coordination beyond network structure
Shahar Somin, Tom Cohen, Jeremy Kepner +1
The study of connectivity and coordination has drawn increasing attention in recent decades due to their central role in driving markets, shaping societal dynamics, and influencing…
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…
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…