272 citations · 1.5k across the 77 of their papers we have counts for
5 papers · 1 filter
LLload: An Easy-to-Use HPC Utilization Tool
Chansup Byun, Albert Reuther, Julie Mullen +19
The increasing use and cost of high performance computing (HPC) requires new easy-to-use tools to enable HPC users and HPC systems engineers to transparently understand the utiliza…
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…