tutorial

Khronos SYCL for OpenCL: a tutorial

Authors:

Ronan Keryell,

Ruyman Reyes,

Lee HowesAuthors Info & Claims

IWOCL '15: Proceedings of the 3rd International Workshop on OpenCL

Article No.: 24, Page 1

https://doi.org/10.1145/2791321.2791345

Published: 12 May 2015 Publication History

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Abstract

SYCL ([sikə l] as in sickle) is a royalty-free, cross-platform C++ abstraction layer that builds on the underlying concepts, portability and efficiency of OpenCL, while adding the ease-of-use and flexibility of modern C++11. For example, SYCL enables single source development where C++ template functions can contain both host and device code to construct complex algorithms that use OpenCL acceleration, and then re-use them throughout their source code on different types of data.

In this tutorial we will introduce the concepts behind OpenCL SYCL, present an implementation of SYCL targeting OpenCL devices with SPIR based on Clang/LLVM and an open source CPU-only implementation based on C++1z, Boost and OpenMP.

Attendees of the last session are encouraged to install the open-source CPU-only implementation of SYCL and code along on laptop/tablet.

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Brock BCohn RBakshi SKarna TKim JNowak MŚlusarczyk ŁStefanski KMattson T(2024)Distributed Ranges: A Model for Distributed Data Structures, Algorithms, and ViewsProceedings of the 38th ACM International Conference on Supercomputing10.1145/3650200.3656632(236-246)Online publication date: 30-May-2024
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Thoman PKnorr FCrisci L(2024)SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and ConformanceProceedings of the 12th International Workshop on OpenCL and SYCL10.1145/3648115.3648136(1-12)Online publication date: 8-Apr-2024
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Published In

IWOCL '15: Proceedings of the 3rd International Workshop on OpenCL

May 2015

238 pages

ISBN:9781450334846

DOI:10.1145/2791321

General Chairs:
Simon McIntosh-Smith
University of Bristol, UK
,
Ben Bergen
Los Alamos National Laboratory

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 May 2015

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Tutorial

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IWOCL '15

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Khronos
Xilinx
QI
Auviz
ViennaCL
Codeplay
Intel
StreamComputing
The University of Bristol
Altera Corp.
hgpu.org
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IWOCL '15: The 3rd International Workshop on OpenCL

May 12 - 13, 2015

California, Palo Alto

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IWOCL '15 Paper Acceptance Rate 19 of 27 submissions, 70%;

Overall Acceptance Rate 84 of 152 submissions, 55%

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https://dl.acm.org/doi/10.1145/3650200.3656632
Thoman PKnorr FCrisci L(2024)SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and ConformanceProceedings of the 12th International Workshop on OpenCL and SYCL10.1145/3648115.3648136(1-12)Online publication date: 8-Apr-2024
https://dl.acm.org/doi/10.1145/3648115.3648136
Contini NAbduljabbar MSubramoni HPanda D(2024)OMB-FPGA: A Microbenchmark Suite for FPGA-aware MPIs using OpenCL and SYCLPractice and Experience in Advanced Research Computing 2024: Human Powered Computing10.1145/3626203.3670518(1-9)Online publication date: 17-Jul-2024
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Cai QTan GYang WHe XYan YLi KLi K(2024)COALA: A Compiler-Assisted Adaptive Library Routines Allocation Framework for Heterogeneous SystemsIEEE Transactions on Computers10.1109/TC.2024.338526973:7(1724-1737)Online publication date: Jul-2024
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Sui YSun YShi CWang HZhang ZWang JZhang Y(2024)Opencl-pytorch: an OpenCL-based extension of PyTorchCCF Transactions on High Performance Computing10.1007/s42514-024-00186-y6:3(287-300)Online publication date: 8-Apr-2024
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From CUDA to OpenCL: Towards a performance-portable solution for multi-platform GPU programming

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