DASH: Distributed Data Structures and Parallel Algorithms in a Global Address Space
Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Konferenzband › Beigetragen › Begutachtung
Beitragende
Abstract
DASH is a new programming approach offering distributed data structures and parallel algorithms in the form of a C+thinspace+ 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.
Details
Originalsprache | Englisch |
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Titel | Software for Exascale Computing - SPPEXA 2016-2019 |
Redakteure/-innen | Hans-Joachim Bungartz, Severin Reiz, Benjamin Uekermann, Philipp Neumann, Wolfgang E. Nagel |
Erscheinungsort | Cham |
Herausgeber (Verlag) | Springer International Publishing AG |
Seiten | 103-142 |
Seitenumfang | 40 |
ISBN (Print) | 978-3-030-47956-5 |
Publikationsstatus | Veröffentlicht - 2020 |
Peer-Review-Status | Ja |
Externe IDs
Scopus | 85089618295 |
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