Portable performance with OpenCL

Research output: Chapter in Book/Report/Conference proceedingChapter in a book

Abstract

In this chapter we show the potential for using the OpenCL standard parallel programming language to deliver portable performance on Intel Xeon Phi coprocessors, Xeon processors, and many-core devices such as GPUs from multiple vendors. This portable performance can be delivered from a single program without needing multiple versions of the code, an advantage of OpenCL over most other approaches available today. As proof of OpenCL’s ability to deliver performance portability, we describe results from the BUDE molecular docking code, which sustains over 30% of peak floating-point performance on a wide variety of processors, including laptop CPUs, Xeon, Xeon Phi, and GPUs.
Original languageEnglish
Title of host publicationHigh Performance Parallelism Pearls
Subtitle of host publicationMulticore and Many-core Programming Approaches
EditorsJames Reinders, James Jeffers
PublisherMorgan Kaufmann
Pages359--375
Number of pages17
ISBN (Print)9780128021996
Publication statusPublished - 4 Nov 2014

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