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ZENODO
Doctoral thesis . 2015
License: CC BY NC
Data sources: ZENODO
ZENODO
Thesis . 2015
License: CC BY NC
Data sources: Datacite
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Investigating performance portability of a highly scalable particle-in-cell simulation code on various multi-core architectures

Authors: Worpitz, Benjamin;

Investigating performance portability of a highly scalable particle-in-cell simulation code on various multi-core architectures

Abstract

The alpaka library defines and implements an abstract hierarchical redundant parallelism model. This model exploits parallelism and memory hierarchies on a node at all levels available in current hardware. This allows to achieve portability of performant codes across various types of accelerators by ignoring specific unsupported levels and utilizing only the ones supported on a specific accelerator. All hardware types (multi- and many-core CPUs, GPUs and other accelerators) are treated and can be programmed in the same way. The C++ template interface provided allows for straightforward extension of the library to support other accelerators and specialization of its internals for optimization.

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Keywords

portability, HPC, GPU, alpaka, CUDA, OpenMP, computer science, performance portability

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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3
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Top 10%
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40
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