b'Jeremy Kepner'

research

∙ 11/28/2022

AI Enabled Maneuver Identification via the Maneuver Identification Challenge

Artificial intelligence (AI) has enormous potential to improve Air Force...

0 Kaira Samuel, et al. ∙

research

∙ 10/08/2022

AI and ML Accelerator Survey and Trends

This paper updates the survey of AI accelerators and processors from pas...

0 Albert Reuther, et al. ∙

research

∙ 09/13/2022

Hypersparse Network Flow Analysis of Packets with GraphBLAS

Internet analysis is a major challenge due to the volume and rate of net...

0 Tyler Trigg, et al. ∙

research

∙ 09/07/2022

Large Scale Enrichment and Statistical Cyber Characterization of Network Traffic

Modern network sensors continuously produce enormous quantities of raw d...

0 Ivan Kawaminami, et al. ∙

research

∙ 09/01/2022

Python Implementation of the Dynamic Distributed Dimensional Data Model

Python has become a standard scientific computing language with fast-gro...

0 Hayden Jananthan, et al. ∙

research

∙ 08/31/2022

pPython for Parallel Python Programming

pPython seeks to provide a parallel capability that provides good speed-...

0 Chansup Byun, et al. ∙

research

∙ 08/27/2022

Apiary: A DBMS-Backed Transactional Function-as-a-Service Framework

Developers are increasingly using function-as-a-service (FaaS) platforms...

0 Peter Kraft, et al. ∙

research

∙ 07/14/2022

Developing a Series of AI Challenges for the United States Department of the Air Force

Through a series of federal initiatives and orders, the U.S. Government ...

5 Vijay Gadepally, et al. ∙

research

∙ 04/12/2022

The MIT Supercloud Workload Classification Challenge

High-Performance Computing (HPC) centers and cloud providers support an ...

0 Benny J. Tang, et al. ∙

research

∙ 03/25/2022

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

Long range detection is a cornerstone of defense in many operating domai...

0 Michael Jones, et al. ∙

research

∙ 03/19/2022

Temporal Correlation of Internet Observatories and Outposts

The Internet has become a critical component of modern civilization requ...

0 Jeremy Kepner, et al. ∙

research

∙ 01/16/2022

Zero Botnets: An Observe-Pursue-Counter Approach

Adversarial Internet robots (botnets) represent a growing threat to the ...

0 Jeremy Kepner, et al. ∙

research

∙ 10/04/2021

Realizing Forward Defense in the Cyber Domain

With the recognition of cyberspace as an operating domain, concerted eff...

0 Sandeep Pisharody, et al. ∙

research

∙ 09/22/2021

Naming Schema for a Human Brain-Scale Neural Network

Deep neural networks have become increasingly large and sparse, allowing...

0 Morgan Schaefer, et al. ∙

research

∙ 09/18/2021

AI Accelerator Survey and Trends

Over the past several years, new machine learning accelerators were bein...

0 Albert Reuther, et al. ∙

research

∙ 09/09/2021

3D Real-Time Supercomputer Monitoring

Supercomputers are complex systems producing vast quantities of performa...

0 Bill Bergeron, et al. ∙

research

∙ 08/26/2021

Supercomputing Enabled Deployable Analytics for Disaster Response

First responders and other forward deployed essential workers can benefi...

0 Kaira Samuel, et al. ∙

research

∙ 08/25/2021

Maneuver Identification Challenge

AI algorithms that identify maneuvers from trajectory data could play an...

6 Kaira Samuel, et al. ∙

research

∙ 08/25/2021

Node-Based Job Scheduling for Large Scale Simulations of Short Running Jobs

Diverse workloads such as interactive supercomputing, big data analysis,...

0 Chansup Byun, et al. ∙

research

∙ 08/15/2021

Spatial Temporal Analysis of 40,000,000,000,000 Internet Darkspace Packets

The Internet has never been more important to our society, and understan...

0 Jeremy Kepner, et al. ∙

research

∙ 08/15/2021

Vertical, Temporal, and Horizontal Scaling of Hierarchical Hypersparse GraphBLAS Matrices

Hypersparse matrices are a powerful enabler for a variety of network, he...

0 Jeremy Kepner, et al. ∙

research

∙ 08/04/2021

The MIT Supercloud Dataset

Artificial intelligence (AI) and Machine learning (ML) workloads are an ...

0 Siddharth Samsi, et al. ∙

research

∙ 03/29/2021

Hybrid Power-Law Models of Network Traffic

The availability of large scale streaming network data has reinforced th...

0 Pat Devlin, et al. ∙

research

∙ 03/28/2021

Mathematics of Digital Hyperspace

Social media, e-commerce, streaming video, e-mail, cloud documents, web ...

0 Jeremy Kepner, et al. ∙

research

∙ 09/01/2020

Survey of Machine Learning Accelerators

New machine learning accelerators are being announced and released each ...

0 Albert Reuther, et al. ∙

research

∙ 08/20/2020

Accuracy and Performance Comparison of Video Action Recognition Approaches

Over the past few years, there has been significant interest in video ac...

6 Matthew Hutchinson, et al. ∙

research

∙ 08/18/2020

Benchmarking network fabrics for data distributed training of deep neural networks

Artificial Intelligence/Machine Learning applications require the traini...

0 Siddharth Samsi, et al. ∙

research

∙ 08/05/2020

Best of Both Worlds: High Performance Interactive and Batch Launching

Rapid launch of thousands of jobs is essential for effective interactive...

0 Chansup Byun, et al. ∙

research

∙ 08/01/2020

Multi-Temporal Analysis and Scaling Relations of 100,000,000,000 Network Packets

Our society has never been more dependent on computer networks. Effectiv...

0 Jeremy Kepner, et al. ∙

research

∙ 07/21/2020

DBOS: A Proposal for a Data-Centric Operating System

Current operating systems are complex systems that were designed before ...

0 Michael Cafarella, et al. ∙

research

∙ 07/14/2020

Layer-Parallel Training with GPU Concurrency of Deep Residual Neural Networks via Nonlinear Multigrid

A Multigrid Full Approximation Storage algorithm for solving Deep Residu...

3 Andrew C. Kirby, et al. ∙

research

∙ 05/06/2020

Fast Mapping onto Census Blocks

Pandemic measures such as social distancing and contact tracing can be e...

0 Jeremy Kepner, et al. ∙

research

∙ 04/01/2020

Technical Report: Developing a Working Data Hub

Data forms a key component of any enterprise. The need for high quality ...

0 Vijay Gadepally, et al. ∙

research

∙ 03/25/2020

GraphChallenge.org Sparse Deep Neural Network Performance

The MIT/IEEE/Amazon GraphChallenge.org encourages community approaches t...

0 Jeremy Kepner, et al. ∙

research

∙ 03/18/2020

GraphChallenge.org Triangle Counting Performance

The rise of graph analytic systems has created a need for new ways to me...

0 Siddharth Samsi, et al. ∙

research

∙ 01/20/2020

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

The SuiteSparse GraphBLAS C-library implements high performance hyperspa...

0 Jeremy Kepner, et al. ∙

research

∙ 01/18/2020

AI Data Wrangling with Associative Arrays

The AI revolution is data driven. AI "data wrangling" is the process by ...

0 Jeremy Kepner, et al. ∙

research

∙ 09/03/2019

Large Scale Parallelization Using File-Based Communications

In this paper, we present a novel and new file-based communication archi...

0 Chansup Byun, et al. ∙

research

∙ 09/02/2019

Sparse Deep Neural Network Graph Challenge

The MIT/IEEE/Amazon GraphChallenge.org encourages community approaches t...

0 Jeremy Kepner, et al. ∙

research

∙ 08/29/2019

Survey and Benchmarking of Machine Learning Accelerators

Advances in multicore processors and accelerators have opened the flood ...

0 Albert Reuther, et al. ∙

research

∙ 08/20/2019

Securing HPC using Federated Authentication

Federated authentication can drastically reduce the overhead of basic ac...

0 Andrew Prout, et al. ∙

research

∙ 07/06/2019

Optimizing Xeon Phi for Interactive Data Analysis

The Intel Xeon Phi manycore processor is designed to provide high perfor...

0 Chansup Byun, et al. ∙

research

∙ 07/06/2019

Streaming 1.9 Billion Hypersparse Network Updates per Second with D4M

The Dynamic Distributed Dimensional Data Model (D4M) library implements ...

0 Jeremy Kepner, et al. ∙

research

∙ 05/08/2019

AI Enabling Technologies: A Survey

Artificial Intelligence (AI) has the opportunity to revolutionize the wa...

0 Vijay Gadepally, et al. ∙

research

∙ 05/01/2019

RedisGraph GraphBLAS Enabled Graph Database

RedisGraph is a Redis module developed by Redis Labs to add graph databa...

0 Pieter Cailliau, et al. ∙

research

∙ 04/30/2019

RadiX-Net: Structured Sparse Matrices for Deep Neural Networks

The sizes of deep neural networks (DNNs) are rapidly outgrowing the capa...

0 Ryan A. Robinett, et al. ∙

research

∙ 04/08/2019

New Phenomena in Large-Scale Internet Traffic

The Internet is transforming our society, necessitating a quantitative u...

0 Jeremy Kepner, et al. ∙

research

∙ 03/05/2019

Lessons Learned from a Decade of Providing Interactive, On-Demand High Performance Computing to Scientists and Engineers

For decades, the use of HPC systems was limited to those in the physical...

0 Julia Mullen, et al. ∙

research

∙ 02/11/2019

Scaling Big Data Platform for Big Data Pipeline

Monitoring and Managing High Performance Computing (HPC) systems and env...

0 Rebecca Wild, et al. ∙

research

∙ 02/03/2019

A Billion Updates per Second Using 30,000 Hierarchical In-Memory D4M Databases

Analyzing large scale networks requires high performance streaming updat...

0 Jeremy Kepner, et al. ∙

Jeremy Kepner

Featured Co-authors