Dash: Distributed data structures and parallel algorithms in a global address space

Karl Fürlinger; José Gracia; Andreas Knüpfer; Tobias Fuchs; Denis Hünich; Pascal Jungblut; Roger Kowalewski; Joseph Schuchart

doi:10.1007/978-3-030-47956-5_6

Dash: Distributed data structures and parallel algorithms in a global address space

Karl Fürlinger
, José Gracia
, Andreas Knüpfer
, Tobias Fuchs
, Denis Hünich
, Pascal Jungblut
, Roger Kowalewski
, Joseph Schuchart

Institute for Advanced Computational Science

Ludwig Maximilian University of Munich
University of Stuttgart
Technische Universität Dresden

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

2 Scopus citations

Abstract

DASH is a new programming approach offering distributed data structures and parallel algorithms in the form of a C+ + template library. This article describes recent developments in the context of DASH concerning the ability to execute tasks with remote dependencies, the exploitation of dynamic hardware locality, smart data structures, and advanced algorithms. We also present a performance and productivity study where we compare DASH with a set of established parallel programming models.

Original language	English
Title of host publication	Lecture Notes in Computational Science and Engineering
Publisher	Springer
Pages	103-142
Number of pages	40
DOIs	https://doi.org/10.1007/978-3-030-47956-5_6
State	Published - 2020

Publication series

Name	Lecture Notes in Computational Science and Engineering
Volume	136
ISSN (Print)	1439-7358
ISSN (Electronic)	2197-7100

Access to Document

10.1007/978-3-030-47956-5_6

Cite this

Fürlinger, K., Gracia, J., Knüpfer, A., Fuchs, T., Hünich, D., Jungblut, P., Kowalewski, R., & Schuchart, J. (2020). Dash: Distributed data structures and parallel algorithms in a global address space. In Lecture Notes in Computational Science and Engineering (pp. 103-142). (Lecture Notes in Computational Science and Engineering; Vol. 136). Springer. https://doi.org/10.1007/978-3-030-47956-5_6

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title = "Dash: Distributed data structures and parallel algorithms in a global address space",

abstract = "DASH is a new programming approach offering distributed data structures and parallel algorithms in the form of a C+ + template library. This article describes recent developments in the context of DASH concerning the ability to execute tasks with remote dependencies, the exploitation of dynamic hardware locality, smart data structures, and advanced algorithms. We also present a performance and productivity study where we compare DASH with a set of established parallel programming models.",

author = "Karl F{\"u}rlinger and Jos{\'e} Gracia and Andreas Kn{\"u}pfer and Tobias Fuchs and Denis H{\"u}nich and Pascal Jungblut and Roger Kowalewski and Joseph Schuchart",

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Fürlinger, K, Gracia, J, Knüpfer, A, Fuchs, T, Hünich, D, Jungblut, P, Kowalewski, R & Schuchart, J 2020, Dash: Distributed data structures and parallel algorithms in a global address space. in Lecture Notes in Computational Science and Engineering. Lecture Notes in Computational Science and Engineering, vol. 136, Springer, pp. 103-142. https://doi.org/10.1007/978-3-030-47956-5_6

Dash: Distributed data structures and parallel algorithms in a global address space. / Fürlinger, Karl; Gracia, José; Knüpfer, Andreas et al.
Lecture Notes in Computational Science and Engineering. Springer, 2020. p. 103-142 (Lecture Notes in Computational Science and Engineering; Vol. 136).

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

TY - CHAP

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AU - Fürlinger, Karl

AU - Gracia, José

AU - Knüpfer, Andreas

AU - Fuchs, Tobias

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AU - Jungblut, Pascal

AU - Kowalewski, Roger

AU - Schuchart, Joseph

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Dash: Distributed data structures and parallel algorithms in a global address space

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