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

272 citations · 1.7k across the 81 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★ 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.DB2016★ 26 cited

Associative Array Model of SQL, NoSQL, and NewSQL Databases

Jeremy Kepner, Vijay Gadepally, Dylan Hutchison +4

The success of SQL, NoSQL, and NewSQL databases is a reflection of their ability to provide significant functionality and performance benefits for specific domains, such as financi…

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…