DASH: Distributed Data Structures and Parallel Algorithms in a Global Address Space

Autor:	Tobias Fuchs, Roger Kowalewski, Joseph Schuchart, Andreas Knüpfer, Karl Fürlinger, Pascal Jungblut, Denis Hünich, José Gracia
Rok vydání:	2020
Předmět:	Set (abstract data type) Global address space Computer architecture Computer science Dash Locality Parallel algorithm Distributed data structures Context (language use) Template library
Zdroj:	Software for Exascale Computing-SPPEXA 2016-2019 ISBN: 9783030479558 Software for Exascale Computing
DOI:	10.1007/978-3-030-47956-5_6
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e0106a2a7f024c222cf53e9d46d3ad7b https://doi.org/10.1007/978-3-030-47956-5_6 Zobrazit plný text záznamu