A taxonomy of task-based parallel programming technologies for high-performance computing

被引：79

作者：

Thoman, Peter ^{[1
]}

Dichev, Kiril ^{[2
]}

Heller, Thomas ^{[3
]}

Iakymchuk, Roman ^{[4
]}

Aguilar, Xavier ^{[4
]}

Hasanov, Khalid ^{[5
]}

Gschwandtner, Philipp ^{[1
]}

Lemarinier, Pierre ^{[5
]}

Markidis, Stefano ^{[4
]}

Jordan, Herbert ^{[1
]}

Fahringer, Thomas ^{[1
]}

Katrinis, Kostas ^{[5
]}

Laure, Erwin ^{[4
]}

Nikolopoulos, Dimitrios S. ^{[2
]}

机构：

[1] Univ Innsbruck, A-6020 Innsbruck, Austria

[2] Queens Univ Belfast, Belfast BT7 1NN, Antrim, North Ireland

[3] Univ Erlangen Nurnberg, D-91058 Erlangen, Germany

[4] KTH Royal Inst Technol, S-10044 Stockholm, Sweden

[5] IBM Ireland, Dublin 15, Ireland

来源：

JOURNAL OF SUPERCOMPUTING | 2018年 / 74卷 / 04期

基金：

英国工程与自然科学研究理事会;

关键词：

High-performance computing; Task-based parallelism; Taxonomy; API; Runtime system; Scheduler; Monitoring framework; Fault tolerance; CILK;

D O I：

10.1007/s11227-018-2238-4

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Task-based programming models for shared memory-such as Cilk Plus and OpenMP 3-are well established and documented. However, with the increase in parallel, many-core, and heterogeneous systems, a number of research-driven projects have developed more diversified task-based support, employing various programming and runtime features. Unfortunately, despite the fact that dozens of different task-based systems exist today and are actively used for parallel and high-performance computing (HPC), no comprehensive overview or classification of task-based technologies for HPC exists. In this paper, we provide an initial task-focused taxonomy for HPC technologies, which covers both programming interfaces and runtime mechanisms. We demonstrate the usefulness of our taxonomy by classifying state-of-the-art task-based environments in use today.

引用

页码：1422 / 1434

页数：13

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