Dynamic Allocations in a Hierarchical Parallel Context A Study on Performance, Memory Footprint, and Portability Using SYCL

被引：0

作者：

Millan, Aymeric ^{[1
]}

Padioleau, Thomas ^{[1
]}

Bigot, Julien ^{[1
]}

机构：

[1] Univ Paris Saclay, UVSQ, CNRS, CEA,Maison Simulat, F-91191 Gif Sur Yvette, France

来源：

EURO-PAR 2023: PARALLEL PROCESSING WORKSHOPS, PT II, EURO-PAR 2023 | 2024年 / 14352卷

关键词：

Hierarchical parallelism; Dynamic allocations; SYCL;

D O I：

10.1007/978-3-031-48803-0_17

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This poster investigates the challenges of dynamic memory allocation in a hierarchical parallel context for the GYSELA code, a gyrokinetic simulation tool for studying plasma turbulence. Using the SYCL 2020 programming model and extensions, the study explores memory management using different parallelism paradigms.

引用

页码：205 / 209

页数：5

共 5 条

[1] [Anonymous], 2020, SYCL TM 2020 Specification (revision 6)
[2] Deakin Tom, 2021, 2021 IEEE/ACM International Workshop on Hierarchical Parallelism for Exascale Computing (HiPar), P10, DOI 10.1109/HiPar54615.2021.00007
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[4] Salzmann P., 2022, IWOCL 2022
[5] Kokkos 3: Programming Model Extensions for the Exascale Era
Trott, Christian R.
Lebrun-Grandie, Damien
Arndt, Daniel
Ciesko, Jan
Dang, Vinh
Ellingwood, Nathan
Gayatri, Rahulkumar
Harvey, Evan
Hollman, Daisy S.
Ibanez, Dan
Liber, Nevin
Madsen, Jonathan
Miles, Jeff
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Rajamanickam, Sivasankaran
Simberg, Mikael
Sunderland, Dan
Turcksin, Bruno
Wilke, Jeremiah
[J]. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2022, 33 (04) : 805 - 817

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