activity
20142024
most citedInteractive Supercomputing on 40,000 Cores for Machine Learning and Data Analysis

272 citations · 745 across the 34 of their papers we have counts for

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Showing cs.DBShow all

5 papers · 1 filter

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…