Journal Article FZJ-2015-05159

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The DEEP Project An alternative approach to heterogeneous cluster-computing in the many-core era

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2016
Wiley Chichester

Concurrency and computation 28(8), 2394–2411 () [10.1002/cpe.3562]

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Abstract: Homogeneous cluster architectures, which used to dominate high-performance computing (HPC), are challenged today by heterogeneous approaches utilizing accelerator or co-processor devices. The DEEP (Dynamical Exascale Entry Platform) project is implementing a novel architecture for HPC, in which a standard HPC cluster is directly connected to a so-called ‘Booster’: a cluster of many-core processors. By these means heterogeneity is organized differently as in today's standard approach, where accelerators are added to each node of the cluster. In order to adapt application codes to this Cluster-Booster architecture as seamless as possible, DEEP has developed a complete programming environment. It integrates the offloading functionality given by the Message Passing Interface standard with an abstraction layer based on the task-based OmpSs programming paradigm. This paper presents the DEEP project with an emphasis on the DEEP programming environment.

Classification:

Contributing Institute(s):
  1. Jülich Supercomputing Center (JSC)
Research Program(s):
  1. 513 - Supercomputer Facility (POF3-513) (POF3-513)
  2. DEEP - Dynamical Exascale Entry Platform (287530) (287530)

Appears in the scientific report 2016
Database coverage:
Medline ; Embargoed OpenAccess ; Current Contents - Engineering, Computing and Technology ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Thomson Reuters Master Journal List ; Web of Science Core Collection
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 Datensatz erzeugt am 2015-08-07, letzte Änderung am 2022-09-30


Published on 2016-05-11. Available in OpenAccess from 2016-11-11.:
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