Jeremy Kepner

is this you? claim profile

∙ 0 followers
MIT

Ph.D. focusing on Computational Science. MIT Lincoln Laboratory Supercomputing Center (Head).

Survey of Machine Learning Accelerators

New machine learning accelerators are being announced and released each ...
09/01/2020 ∙ by Albert Reuther, et al. ∙ 0 ∙ share

read it
Accuracy and Performance Comparison of Video Action Recognition Approaches

Over the past few years, there has been significant interest in video ac...
08/20/2020 ∙ by Matthew Hutchinson, et al. ∙ 6 ∙ share

read it
Benchmarking network fabrics for data distributed training of deep neural networks

Artificial Intelligence/Machine Learning applications require the traini...
08/18/2020 ∙ by Siddharth Samsi, et al. ∙ 0 ∙ share

read it
Best of Both Worlds: High Performance Interactive and Batch Launching

Rapid launch of thousands of jobs is essential for effective interactive...
08/05/2020 ∙ by Chansup Byun, et al. ∙ 0 ∙ share

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

Our society has never been more dependent on computer networks. Effectiv...
08/01/2020 ∙ by Jeremy Kepner, et al. ∙ 0 ∙ share

read it
DBOS: A Proposal for a Data-Centric Operating System

Current operating systems are complex systems that were designed before ...
07/21/2020 ∙ by Michael Cafarella, et al. ∙ 0 ∙ share

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

A Multigrid Full Approximation Storage algorithm for solving Deep Residu...
07/14/2020 ∙ by Andrew C. Kirby, et al. ∙ 3 ∙ share

read it
Fast Mapping onto Census Blocks

Pandemic measures such as social distancing and contact tracing can be e...
05/06/2020 ∙ by Jeremy Kepner, et al. ∙ 0 ∙ share

read it
Technical Report: Developing a Working Data Hub

Data forms a key component of any enterprise. The need for high quality ...
04/01/2020 ∙ by Vijay Gadepally, et al. ∙ 0 ∙ share

read it
GraphChallenge.org Sparse Deep Neural Network Performance

The MIT/IEEE/Amazon GraphChallenge.org encourages community approaches t...
03/25/2020 ∙ by Jeremy Kepner, et al. ∙ 0 ∙ share

read it
GraphChallenge.org Triangle Counting Performance

The rise of graph analytic systems has created a need for new ways to me...
03/18/2020 ∙ by Siddharth Samsi, et al. ∙ 0 ∙ share

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

The SuiteSparse GraphBLAS C-library implements high performance hyperspa...
01/20/2020 ∙ by Jeremy Kepner, et al. ∙ 0 ∙ share

read it
AI Data Wrangling with Associative Arrays

The AI revolution is data driven. AI "data wrangling" is the process by ...
01/18/2020 ∙ by Jeremy Kepner, et al. ∙ 0 ∙ share

read it
Large Scale Parallelization Using File-Based Communications

In this paper, we present a novel and new file-based communication archi...
09/03/2019 ∙ by Chansup Byun, et al. ∙ 0 ∙ share

read it
Sparse Deep Neural Network Graph Challenge

The MIT/IEEE/Amazon GraphChallenge.org encourages community approaches t...
09/02/2019 ∙ by Jeremy Kepner, et al. ∙ 0 ∙ share

read it
Survey and Benchmarking of Machine Learning Accelerators

Advances in multicore processors and accelerators have opened the flood ...
08/29/2019 ∙ by Albert Reuther, et al. ∙ 0 ∙ share

read it
Securing HPC using Federated Authentication

Federated authentication can drastically reduce the overhead of basic ac...
08/20/2019 ∙ by Andrew Prout, et al. ∙ 0 ∙ share

read it
Optimizing Xeon Phi for Interactive Data Analysis

The Intel Xeon Phi manycore processor is designed to provide high perfor...
07/06/2019 ∙ by Chansup Byun, et al. ∙ 0 ∙ share

read it
Streaming 1.9 Billion Hypersparse Network Updates per Second with D4M

The Dynamic Distributed Dimensional Data Model (D4M) library implements ...
07/06/2019 ∙ by Jeremy Kepner, et al. ∙ 0 ∙ share

read it
AI Enabling Technologies: A Survey

Artificial Intelligence (AI) has the opportunity to revolutionize the wa...
05/08/2019 ∙ by Vijay Gadepally, et al. ∙ 0 ∙ share

read it
RedisGraph GraphBLAS Enabled Graph Database

RedisGraph is a Redis module developed by Redis Labs to add graph databa...
05/01/2019 ∙ by Pieter Cailliau, et al. ∙ 0 ∙ share

read it
RadiX-Net: Structured Sparse Matrices for Deep Neural Networks

The sizes of deep neural networks (DNNs) are rapidly outgrowing the capa...
04/30/2019 ∙ by Ryan A. Robinett, et al. ∙ 0 ∙ share

read it
New Phenomena in Large-Scale Internet Traffic

The Internet is transforming our society, necessitating a quantitative u...
04/08/2019 ∙ by Jeremy Kepner, et al. ∙ 0 ∙ share

read it
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...
03/05/2019 ∙ by Julia Mullen, et al. ∙ 0 ∙ share

read it
Scaling Big Data Platform for Big Data Pipeline

Monitoring and Managing High Performance Computing (HPC) systems and env...
02/11/2019 ∙ by Rebecca Wild, et al. ∙ 0 ∙ share

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

Analyzing large scale networks requires high performance streaming updat...
02/03/2019 ∙ by Jeremy Kepner, et al. ∙ 0 ∙ share

read it
Pruned and Structurally Sparse Neural Networks

Advances in designing and training deep neural networks have led to the ...
09/30/2018 ∙ by Simon Alford, et al. ∙ 0 ∙ share

read it
Uncertainty Propagation in Deep Neural Networks Using Extended Kalman Filtering

Extended Kalman Filtering (EKF) can be used to propagate and quantify in...
09/17/2018 ∙ by Jessica S. Titensky, et al. ∙ 0 ∙ share

read it
Neural Network Topologies for Sparse Training

The sizes of deep neural networks (DNNs) are rapidly outgrowing the capa...
09/14/2018 ∙ by Ryan A. Robinett, et al. ∙ 0 ∙ share

read it
Hyperscaling Internet Graph Analysis with D4M on the MIT SuperCloud

Detecting anomalous behavior in network traffic is a major challenge due...
08/25/2018 ∙ by Vijay Gadepally, et al. ∙ 0 ∙ share

read it
Database Operations in D4M.jl

Each step in the data analytics pipeline is important, including databas...
08/13/2018 ∙ by Lauren Milechin, et al. ∙ 0 ∙ share

read it
Interactive Launch of 16,000 Microsoft Windows Instances on a Supercomputer

Simulation, machine learning, and data analysis require a wide range of ...
08/13/2018 ∙ by Michael Jones, et al. ∙ 0 ∙ share

read it
Measuring the Impact of Spectre and Meltdown

The Spectre and Meltdown flaws in modern microprocessors represent a new...
07/23/2018 ∙ by Andrew Prout, et al. ∙ 0 ∙ share

read it
Interactive Supercomputing on 40,000 Cores for Machine Learning and Data Analysis

Interactive massively parallel computations are critical for machine lea...
07/20/2018 ∙ by Albert Reuther, et al. ∙ 0 ∙ share

read it
TabulaROSA: Tabular Operating System Architecture for Massively Parallel Heterogeneous Compute Engines

The rise in computing hardware choices is driving a reevaluation of oper...
07/14/2018 ∙ by Jeremy Kepner, et al. ∙ 0 ∙ share

read it
Sparse Deep Neural Network Exact Solutions

Deep neural networks (DNNs) have emerged as key enablers of machine lear...
07/06/2018 ∙ by Jeremy Kepner, et al. ∙ 0 ∙ share

read it
GraphChallenge.org: Raising the Bar on Graph Analytic Performance

The rise of graph analytic systems has created a need for new ways to me...
05/23/2018 ∙ by Siddharth Samsi, et al. ∙ 0 ∙ share

read it
On Large-Scale Graph Generation with Validation of Diverse Triangle Statistics at Edges and Vertices

Researchers developing implementations of distributed graph analytic alg...
03/24/2018 ∙ by Geoffrey Sanders, et al. ∙ 0 ∙ share

read it
Design, Generation, and Validation of Extreme Scale Power-Law Graphs

Massive power-law graphs drive many fields: metagenomics, brain mapping,...
03/04/2018 ∙ by Jeremy Kepner, et al. ∙ 0 ∙ share

read it
Polystore Mathematics of Relational Algebra

Financial transactions, internet search, and data analysis are all placi...
12/03/2017 ∙ by Hayden Jananthan, et al. ∙ 0 ∙ share

read it
Streaming Graph Challenge: Stochastic Block Partition

An important objective for analyzing real-world graphs is to achieve sca...
08/25/2017 ∙ by Edward Kao, et al. ∙ 0 ∙ share

read it
D4M 3.0: Extended Database and Language Capabilities

The D4M tool was developed to address many of today's data needs. This t...
08/09/2017 ∙ by Lauren Milechin, et al. ∙ 0 ∙ share

read it
Performance Measurements of Supercomputing and Cloud Storage Solutions

Increasing amounts of data from varied sources, particularly in the fiel...
08/01/2017 ∙ by Michael Jones, et al. ∙ 0 ∙ share

read it
Benchmarking Data Analysis and Machine Learning Applications on the Intel KNL Many-Core Processor

Knights Landing (KNL) is the code name for the second-generation Intel X...
07/12/2017 ∙ by Chansup Byun, et al. ∙ 0 ∙ share

read it
Version 0.1 of the BigDAWG Polystore System

A polystore system is a database management system (DBMS) composed of in...
07/03/2017 ∙ by Vijay Gadepally, et al. ∙ 0 ∙ share

read it
A Linear Algebra Approach to Fast DNA Mixture Analysis Using GPUs

Analysis of DNA samples is an important step in forensics, and the speed...
07/03/2017 ∙ by Siddharth Samsi, et al. ∙ 0 ∙ share

read it
Non-Negative Matrix Factorization Test Cases

Non-negative matrix factorization (NMF) is a prob- lem with many applica...
12/30/2016 ∙ by Connor Sell, et al. ∙ 0 ∙ share

read it
Benchmarking the Graphulo Processing Framework

Graph algorithms have wide applicablity to a variety of domains and are ...
09/27/2016 ∙ by Timothy Weale, et al. ∙ 0 ∙ share

read it
Benchmarking SciDB Data Import on HPC Systems

SciDB is a scalable, computational database management system that uses ...
09/24/2016 ∙ by Siddharth Samsi, et al. ∙ 0 ∙ share

read it
Julia Implementation of the Dynamic Distributed Dimensional Data Model

Julia is a new language for writing data analysis programs that are easy...
08/14/2016 ∙ by Alexander Chen, et al. ∙ 0 ∙ share

read it

Jeremy Kepner

Featured Co-authors