272 citations · 1.8k across the 82 of their papers we have counts for
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Survey and Benchmarking of Machine Learning Accelerators
Albert Reuther, Peter Michaleas, Michael Jones +3
Advances in multicore processors and accelerators have opened the flood gates to greater exploration and application of machine learning techniques to a variety of applications. Th…
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…
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…
Benchmarking Data Analysis and Machine Learning Applications on the Intel KNL Many-Core Processor
Chansup Byun, Jeremy Kepner, William Arcand +15
Knights Landing (KNL) is the code name for the second-generation Intel Xeon Phi product family. KNL has generated significant interest in the data analysis and machine learning com…
A Linear Algebra Approach to Fast DNA Mixture Analysis Using GPUs
Siddharth Samsi, Brian Helfer, Jeremy Kepner +2
Analysis of DNA samples is an important step in forensics, and the speed of analysis can impact investigations. Comparison of DNA sequences is based on the analysis of short tandem…