activity
20142026
most citedInteractive Supercomputing on 40,000 Cores for Machine Learning and Data Analysis

272 citations · 2.5k across the 136 of their papers we have counts for

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Showing cs.PFShow all

7 papers · 1 filter

cs.PF2026

Easy Multi-Precision Acceleration via Vectorization

Chansup Byun, Piotr Luszczek, Jeremy Kepner +18

High level programming languages and accelerators are powerful enablers for a wide range of applications. Accelerators offer significant performance via diverse numeric precision a…

cs.PF2024★ 1 cited

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…

cs.PF2019★ 174 cited

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…

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.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.PF2017★ 11 cited

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…

cs.PF2016★ 18 cited

PageRank Pipeline Benchmark: Proposal for a Holistic System Benchmark for Big-Data Platforms

Patrick Dreher, Chansup Byun, Chris Hill +3

The rise of big data systems has created a need for benchmarks to measure and compare the capabilities of these systems. Big data benchmarks present unique scalability challenges.…