Minneapolis / Philadelphia / Berlin / Waltham / Outbreak / /
Company
Amazon / NetFlix / Google / Analytics Group / LINCOLN LABORATORY JOURNAL / Brown Brothers Harriman / Apache / SIAM Press / MIT Lincoln Laboratory / Bioengineering Systems / National Laboratories / /
Country
Germany / /
Currency
USD / /
Facility
Princeton University / Parallel Vector Tile Optimizing Library / Pipeline The / Stevens Institute of Technology / Pomona College / University of Minnesota / Processing pipeline / Robert Koch Institute / D4M+Triple Store / /
IndustryTerm
inference systems / parallel computing / data-intensive signal processing problems / distributed computing research / algorithm developer / database technologies / signal processing / parallel computing software technologies / software size / software development / energy / large Internet / energy-efficient solutions / mathematical algorithms / computing / /
MarketIndex
set 10 / /
OperatingSystem
GNU / /
Organization
MIT / Robert Koch Institute / Princeton University / Stevens Institute of Technology / Pomona College / Massachusetts Green High Performance Computing Center / Graduate School / US Federal Reserve / Mathematical Association of America & American Mathematical Society Joint Mathematics Meet / R.F. Service / Department of Energy Computational Science Graduate Fellowship / Department of Astrophysics / University of Minnesota / /
Person
Charles Yee / Matthew Hubbell / David Bestor / Darrell O. Ricke / William Bergeron / Antonio Rosa / Albert Reuther / William Arcand / Andrew Prout / G. Coulouris / V / Dylan Hutchison / Peter Michaleas / Lincoln Labo / DYLAN HUTCHISON RNA / Lincoln Labora / Min Algebra / Jeremy Kepner / Jack Dongarra / /
Position
biologist / Dynamic Distributed Dimensional Data Model / series editor / analyst / scheduler / /
TAMING BIOLOGICAL BIG DATA WITH D4M Taming Biological Big Data with D4M Jeremy Kepner, Darrell O. Ricke, and Dylan Hutchison