English

D4M 3.0

Distributed, Parallel, and Cluster Computing 2017-02-13 v1 Databases

Abstract

The D4M tool is used by hundreds of researchers to perform complex analytics on unstructured data. Over the past few years, the D4M toolbox has evolved to support connectivity with a variety of database engines, graph analytics in the Apache Accumulo database, and an implementation using the Julia programming language. In this article, we describe some of our latest additions to the D4M toolbox and our upcoming D4M 3.0 release.

Keywords

Cite

@article{arxiv.1702.03253,
  title  = {D4M 3.0},
  author = {Lauren Milechin and Alexander Chen and Vijay Gadepally and Dylan Hutchison and Siddharth Samsi and Jeremy Kepner},
  journal= {arXiv preprint arXiv:1702.03253},
  year   = {2017}
}
R2 v1 2026-06-22T18:15:06.774Z