activity
20162026
most citedInteractive Supercomputing on 40,000 Cores for Machine Learning and Data Analysis

272 citations · 478 across the 44 of their papers we have counts for

collaborators
Showing 2019Show all

7 papers · 1 filter

cs.DC2019★ 8 cited

Large Scale Parallelization Using File-Based Communications

Chansup Byun, Jeremy Kepner, William Arcand +14

In this paper, we present a novel and new file-based communication architecture using the local filesystem for large scale parallelization. This new approach eliminates the issues…

cs.PF2019★ 2 cited

TapirXLA: Embedding Fork-Join Parallelism into the XLA Compiler in TensorFlow Using Tapir

Tao B. Schardl, Siddharth Samsi

This work introduces TapirXLA, a replacement for TensorFlow's XLA compiler that embeds recursive fork-join parallelism into XLA's low-level representation of code. Machine-learning…

cs.DC2019★ 3 cited

Securing HPC using Federated Authentication

Andrew Prout, William Arcand, David Bestor +15

Federated authentication can drastically reduce the overhead of basic account maintenance while simultaneously improving overall system security. Integrating with the user's more f…

cs.DC2019★ 14 cited

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★ 8 cited

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.DC2019★ 5 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…