most citedLessons Learned from a Decade of Providing Interactive, On-Demand High Performance Computing to Scientists and Engineers

5 citations · 10 across the 2 of their papers we have counts for

collaborators

5 papers

cs.DC2020

75,000,000,000 Streaming Inserts/Second Using Hierarchical Hypersparse GraphBLAS Matrices

Jeremy Kepner, Tim Davis, Chansup Byun +16

The SuiteSparse GraphBLAS C-library implements high performance hypersparse matrices with bindings to a variety of languages (Python, Julia, and Matlab/Octave). GraphBLAS provides…

cs.DC2019

Streaming 1.9 Billion Hypersparse Network Updates per Second with D4M

Jeremy Kepner, Vijay Gadepally, Lauren Milechin +15

The Dynamic Distributed Dimensional Data Model (D4M) library implements associative arrays in a variety of languages (Python, Julia, and Matlab/Octave) and provides a lightweight i…

cs.PF2019

Optimizing Xeon Phi for Interactive Data Analysis

Chansup Byun, Jeremy Kepner, William Arcand +15

The Intel Xeon Phi manycore processor is designed to provide high performance matrix computations of the type often performed in data analysis. Common data analysis environments in…

cs.DC20195 cited

Lessons Learned from a Decade of Providing Interactive, On-Demand High Performance Computing to Scientists and Engineers

Julia Mullen, Albert Reuther, William Arcand +15

For decades, the use of HPC systems was limited to those in the physical sciences who had mastered their domain in conjunction with a deep understanding of HPC architectures and al…

cs.DB20195 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…