DASH: Distributed Data Structures and Parallel Algorithms in a Global Address Space
Research output: Contribution to book/conference proceedings/anthology/report › Conference contribution › Contributed › peer-review
Contributors
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
Original language | English |
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Title of host publication | Software for Exascale Computing - SPPEXA 2016-2019 |
Editors | Hans-Joachim Bungartz, Severin Reiz, Benjamin Uekermann, Philipp Neumann, Wolfgang E. Nagel |
Place of Publication | Cham |
Publisher | Springer International Publishing AG |
Pages | 103-142 |
Number of pages | 40 |
ISBN (print) | 978-3-030-47956-5 |
Publication status | Published - 2020 |
Peer-reviewed | Yes |
External IDs
Scopus | 85089618295 |
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