activity
20142026
most citedInteractive Supercomputing on 40,000 Cores for Machine Learning and Data Analysis

272 citations · 924 across the 63 of their papers we have counts for

collaborators
Showing cs.DBShow all

8 papers · 1 filter

cs.DB2021

Supercomputing Enabled Deployable Analytics for Disaster Response

Kaira Samuel, Jeremy Kepner, Michael Jones +17

First responders and other forward deployed essential workers can benefit from advanced analytics. Limited network access and software security requirements prevent the usage of st…

cs.DB2019★ 1 cited

Scaling Big Data Platform for Big Data Pipeline

Rebecca Wild, Matthew Hubbell, Jeremy Kepner

Monitoring and Managing High Performance Computing (HPC) systems and environments generate an ever growing amount of data. Making sense of this data and generating a platform where…

cs.DB2019★ 5 cited

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

Jeremy Kepner, Vijay Gadepally, Lauren Milechin +15

Analyzing large scale networks requires high performance streaming updates of graph representations of these data. Associative arrays are mathematical objects combining properties…

cs.DB2016★ 10 cited

Benchmarking SciDB Data Import on HPC Systems

Siddharth Samsi, Laura Brattain, William Arcand +16

SciDB is a scalable, computational database management system that uses an array model for data storage. The array data model of SciDB makes it ideally suited for storing and manag…

cs.DB2015★ 33 cited

D4M: Bringing Associative Arrays to Database Engines

Vijay Gadepally, Jeremy Kepner, William Arcand +11

The ability to collect and analyze large amounts of data is a growing problem within the scientific community. The growing gap between data and users calls for innovative tools tha…

cs.DB2015★ 30 cited

Enabling On-Demand Database Computing with MIT SuperCloud Database Management System

Andrew Prout, Jeremy Kepner, Peter Michaleas +11

The MIT SuperCloud database management system allows for rapid creation and flexible execution of a variety of the latest scientific databases, including Apache Accumulo and SciDB.…

cs.DB2014★ 40 cited

D4M 2.0 Schema: A General Purpose High Performance Schema for the Accumulo Database

Jeremy Kepner, Christian Anderson, William Arcand +11

Non-traditional, relaxed consistency, triple store databases are the backbone of many web companies (e.g., Google Big Table, Amazon Dynamo, and Facebook Cassandra). The Apache Accu…

cs.DB2014★ 35 cited

Achieving 100,000,000 database inserts per second using Accumulo and D4M

Jeremy Kepner, William Arcand, David Bestor +10

The Apache Accumulo database is an open source relaxed consistency database that is widely used for government applications. Accumulo is designed to deliver high performance on uns…