This title appears in the Scientific Report :
2013
Please use the identifier:
http://dx.doi.org/10.1109/ICPP.2013.105 in citations.
The DEEP Project - Pursuing Cluster-Computing in the Many-Core Era
The DEEP Project - Pursuing Cluster-Computing in the Many-Core Era
Homogeneous cluster architectures dominating high-performance computing (HPC) today are challenged, in particular when thinking about reaching Exascale by the end of the decade, by heterogeneous approaches utilizing accelerator elements. The DEEP (Dynamical Exascale Entry Platform) project aims for...
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Personal Name(s): | Eicker, Norbert (Corresponding author) |
---|---|
Lippert, Thomas / Moschny, Thomas / Suarez, Estela | |
Contributing Institute: |
Jülich Supercomputing Center; JSC |
Published in: |
2013 42nd International Conference on Parallel Processing |
Imprint: |
IEEE
2013
|
Physical Description: |
885-892 |
DOI: |
10.1109/ICPP.2013.105 |
Conference: | 2013 42nd International Conference on Parallel Processing (ICPP), Lyon (France), 2013-10-01 - 2013-10-04 |
Document Type: |
Contribution to a book Contribution to a conference proceedings |
Research Program: |
Dynamical Exascale Entry Platform Supercomputer Facility |
Publikationsportal JuSER |
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520 | |a Homogeneous cluster architectures dominating high-performance computing (HPC) today are challenged, in particular when thinking about reaching Exascale by the end of the decade, by heterogeneous approaches utilizing accelerator elements. The DEEP (Dynamical Exascale Entry Platform) project aims for implementing a novel architecture for high-performance computing consisting of two components - a standard HPC Cluster and a cluster of many-core processors called Booster. In order to make the adaptation of application codes to this Cluster-Booster architecture as seamless as possible, DEEP provides a complete programming environment. It integrates the offloading functionality given by the MPI 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. | ||
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