extended-abstract

Exploring the features of OpenCL 2.0

Authors:

Fanny Nina Paravecino,

David KaeliAuthors Info & Claims

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

Article No.: 5, Pages 1 - 5

https://doi.org/10.1145/2791321.2791326

Published: 12 May 2015 Publication History

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Abstract

The growth in demand for heterogeneous accelerators has stimulated the development of cutting-edge features in newer accelerators. The heterogeneous programming frameworks such as OpenCL have matured over the years and have introduced new software features for developers. We explore one of these programming frameworks, OpenCL 2.0. To drive our study, we consider a number new features in OpenCL 2.0 using four popular applications from a range of computing domains including signal processing, cybersecurity and machine learning. These applications include: 1) the AES-128 encryption standard, 2) Finite Impulse Response filtering, 3) Infinite Impulse Response filtering, and 4) Hidden Markov model. In this work, we introduce the latest runtime features enabled in OpenCL 2.0, and discuss how well our sample applications can benefit from some of these features.

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Cited By

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Reis LBispo JCardoso J(2020)Compilation of MATLAB computations to CPU/GPU via C/OpenCL generationConcurrency and Computation: Practice and Experience10.1002/cpe.585432:22Online publication date: Jul-2020
https://doi.org/10.1002/cpe.5854
Huang SChang LEl Hajj IGarcia de Gonzalo SGómez-Luna JChalamalasetti SEl-Hadedy MMilojicic DMutlu OChen DHwu WApte VDi Marco ALitoiu MMerseguer J(2019)Analysis and Modeling of Collaborative Execution Strategies for Heterogeneous CPU-FPGA ArchitecturesProceedings of the 2019 ACM/SPEC International Conference on Performance Engineering10.1145/3297663.3310305(79-90)Online publication date: 4-Apr-2019
https://dl.acm.org/doi/10.1145/3297663.3310305
Sun YMukherjee SBaruah TDong SGutierrez JMohan PKaeli D(2018)Evaluating Performance Tradeoffs on the Radeon Open Compute Platform2018 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)10.1109/ISPASS.2018.00034(209-218)Online publication date: May-2018
https://doi.org/10.1109/ISPASS.2018.00034
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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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Published: 12 May 2015

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Khronos
Xilinx
QI
Auviz
ViennaCL
Codeplay
Intel
StreamComputing
The University of Bristol
Altera Corp.
hgpu.org
Imagination

IWOCL '15: The 3rd International Workshop on OpenCL

May 12 - 13, 2015

California, Palo Alto

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Overall Acceptance Rate 84 of 152 submissions, 55%

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Reis LBispo JCardoso J(2020)Compilation of MATLAB computations to CPU/GPU via C/OpenCL generationConcurrency and Computation: Practice and Experience10.1002/cpe.585432:22Online publication date: Jul-2020
https://doi.org/10.1002/cpe.5854
Huang SChang LEl Hajj IGarcia de Gonzalo SGómez-Luna JChalamalasetti SEl-Hadedy MMilojicic DMutlu OChen DHwu WApte VDi Marco ALitoiu MMerseguer J(2019)Analysis and Modeling of Collaborative Execution Strategies for Heterogeneous CPU-FPGA ArchitecturesProceedings of the 2019 ACM/SPEC International Conference on Performance Engineering10.1145/3297663.3310305(79-90)Online publication date: 4-Apr-2019
https://dl.acm.org/doi/10.1145/3297663.3310305
Sun YMukherjee SBaruah TDong SGutierrez JMohan PKaeli D(2018)Evaluating Performance Tradeoffs on the Radeon Open Compute Platform2018 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)10.1109/ISPASS.2018.00034(209-218)Online publication date: May-2018
https://doi.org/10.1109/ISPASS.2018.00034
Erb CCollins MGreathouse JReddi VSmith ATang L(2017)Dynamic buffer overflow detection for GPGPUsProceedings of the 2017 International Symposium on Code Generation and Optimization10.5555/3049832.3049840(61-73)Online publication date: 4-Feb-2017
https://dl.acm.org/doi/10.5555/3049832.3049840
Chang LGómez-Luna JEl Hajj IHuang SChen DHwu WBinder WCortellessa VKoziolek ASmirni EPoess M(2017)Collaborative Computing for Heterogeneous Integrated SystemsProceedings of the 8th ACM/SPEC on International Conference on Performance Engineering10.1145/3030207.3030244(385-388)Online publication date: 17-Apr-2017
https://dl.acm.org/doi/10.1145/3030207.3030244
Erb CCollins MGreathouse J(2017)Dynamic buffer overflow detection for GPGPUs2017 IEEE/ACM International Symposium on Code Generation and Optimization (CGO)10.1109/CGO.2017.7863729(61-73)Online publication date: Mar-2017
https://doi.org/10.1109/CGO.2017.7863729

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Enabling PoCL-based runtime frameworks on the HSA for OpenCL 2.0 support

Support OpenCL 2.0 Compiler on LLVM for PTX Simulators

From CUDA to OpenCL: Towards a performance-portable solution for multi-platform GPU programming

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