CHARM-SYCL: New Unified Programming Environment for Multiple Accelerator Types

Norihisa Fujita; Beau Johnston; Ryohei Kobayashi; Keita Teranishi; Seyong Lee; Taisuke Boku; Jeffrey S. Vetter

doi:10.1145/3624062.3624244

CHARM-SYCL: New Unified Programming Environment for Multiple Accelerator Types

Norihisa Fujita, Beau Johnston, Ryohei Kobayashi, Keita Teranishi, Seyong Lee, Taisuke Boku, Jeffrey S. Vetter

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Addressing performance portability across diverse accelerator architectures has emerged as a major challenge in the development of application and programming systems for high-performance computing environments. Although recent programming systems that focus on performance portability have significantly improved productivity in an effort to meet this challenge, the problem becomes notably more complex when compute nodes are equipped with multiple accelerator types - each with unique performance attributes, optimal data layout, and binary formats. To navigate the intricacies of multi-accelerator programming, we propose CHARM-SYCL as an extension of our CHARM multi-accelerator execution environment [27]. This environment will combine our SYCL-based performance-portability programming front end with a back end for extremely heterogeneous architectures as implemented with the IRIS runtime from Oak Ridge National Laboratory. Our preliminary evaluation indicates potential productivity boost and reasonable performance compared to vendor-specific programming system and runtimes.

Original language	English
Title of host publication	Proceedings of 2023 SC Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis, SC Workshops 2023
Publisher	Association for Computing Machinery
Pages	1651-1661
Number of pages	11
ISBN (Electronic)	9798400707858
DOIs	https://doi.org/10.1145/3624062.3624244
State	Published - Nov 12 2023
Event	2023 International Conference on High Performance Computing, Network, Storage, and Analysis, SC Workshops 2023 - Denver, United States Duration: Nov 12 2023 → Nov 17 2023

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	2023 International Conference on High Performance Computing, Network, Storage, and Analysis, SC Workshops 2023
Country/Territory	United States
City	Denver
Period	11/12/23 → 11/17/23

Funding

This manuscript has been authored by UT-Battelle LLC under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (https://www.energy. gov/doe-public-access-plan). This work was supported by JSPS KAKENHI (Grant Number 21H04869). The utilization of the Cygnus supercomputer is supported by the MCRP 2023 Program of the Center for Computational Sciences at University of Tsukuba in Tsukuba, Japan.

Keywords

Accelerators
Heterogeneous Environment
SYCL

Access to Document

10.1145/3624062.3624244

Cite this

Fujita, N., Johnston, B., Kobayashi, R., Teranishi, K., Lee, S., Boku, T., & Vetter, J. S. (2023). CHARM-SYCL: New Unified Programming Environment for Multiple Accelerator Types. In Proceedings of 2023 SC Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis, SC Workshops 2023 (pp. 1651-1661). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3624062.3624244

Fujita, Norihisa ; Johnston, Beau ; Kobayashi, Ryohei et al. / CHARM-SYCL : New Unified Programming Environment for Multiple Accelerator Types. Proceedings of 2023 SC Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis, SC Workshops 2023. Association for Computing Machinery, 2023. pp. 1651-1661 (ACM International Conference Proceeding Series).

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abstract = "Addressing performance portability across diverse accelerator architectures has emerged as a major challenge in the development of application and programming systems for high-performance computing environments. Although recent programming systems that focus on performance portability have significantly improved productivity in an effort to meet this challenge, the problem becomes notably more complex when compute nodes are equipped with multiple accelerator types - each with unique performance attributes, optimal data layout, and binary formats. To navigate the intricacies of multi-accelerator programming, we propose CHARM-SYCL as an extension of our CHARM multi-accelerator execution environment [27]. This environment will combine our SYCL-based performance-portability programming front end with a back end for extremely heterogeneous architectures as implemented with the IRIS runtime from Oak Ridge National Laboratory. Our preliminary evaluation indicates potential productivity boost and reasonable performance compared to vendor-specific programming system and runtimes.",

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Fujita, N, Johnston, B, Kobayashi, R, Teranishi, K, Lee, S, Boku, T & Vetter, JS 2023, CHARM-SYCL: New Unified Programming Environment for Multiple Accelerator Types. in Proceedings of 2023 SC Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis, SC Workshops 2023. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 1651-1661, 2023 International Conference on High Performance Computing, Network, Storage, and Analysis, SC Workshops 2023, Denver, United States, 11/12/23. https://doi.org/10.1145/3624062.3624244

CHARM-SYCL: New Unified Programming Environment for Multiple Accelerator Types. / Fujita, Norihisa; Johnston, Beau; Kobayashi, Ryohei et al.
Proceedings of 2023 SC Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis, SC Workshops 2023. Association for Computing Machinery, 2023. p. 1651-1661 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Lee, Seyong

AU - Boku, Taisuke

AU - Vetter, Jeffrey S.

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Fujita N, Johnston B, Kobayashi R, Teranishi K, Lee S, Boku T et al. CHARM-SYCL: New Unified Programming Environment for Multiple Accelerator Types. In Proceedings of 2023 SC Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis, SC Workshops 2023. Association for Computing Machinery. 2023. p. 1651-1661. (ACM International Conference Proceeding Series). doi: 10.1145/3624062.3624244

CHARM-SYCL: New Unified Programming Environment for Multiple Accelerator Types

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