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OpenHMPP
Known as:
HMPP Open Standard
OpenHMPP (HMPP for Hybrid Multicore Parallel Programming) - programming standard for Heterogeneous computing. Based on a set of compiler directives…
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Related topics
Related topics
20 relations
Aliasing (computing)
Apache Storm
Automatic parallelization
General-purpose computing on graphics processing units
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Broader (2)
Fortran
Parallel computing
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
A Few of the Most Popular Models for Heterogeneous Parallel Programming
Gang Xie
,
Ya-lin Zhang
16th International Symposium on Distributed…
2017
Corpus ID: 391336
In this paper we consider the problem of programming for heterogeneous computer systems consist of CPUs and various accelerating…
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2016
2016
Pragma Directed Shared Memory Centric Optimizations on GPUs
Jing Li
,
Lei Liu
,
+4 authors
Cheng-Yong Wu
Journal of Computational Science and Technology
2016
Corpus ID: 255155430
GPUs become a ubiquitous choice as coprocessors since they have excellent ability in concurrent processing. In GPU architecture…
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2015
2015
Compilation techniques for automatic extraction of parallelism and locality in heterogeneous architectures
J. M. Andión
2015
Corpus ID: 194337637
La computacion de altas prestaciones se ha convertido en un habilitador clave para la innovacion en la ciencia y la industria…
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2014
2014
Acceleration of a Python-Based Tsunami Modelling Application via CUDA and OpenHMPP
Zhe Weng
,
P. Strazdins
IEEE International Parallel & Distributed…
2014
Corpus ID: 16303378
Modern graphics processing units (GPUs) have became powerful and cost-effective computing platforms. Parallel programming…
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2013
2013
Accelerating the Calculation of Scattering of Complex Targets from Background Radiation with CUDA, OpenACC and OpenHMPP
Xing Guo
,
Zhensen Wu
,
Jiaji Wu
International Conference on Parallel and…
2013
Corpus ID: 19027116
Graphics Processing Unit (GPU) is used to accelerate the calculation of scattering of complex target from background radiation in…
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2013
2013
How to Benefit from AMD, Intel and Nvidia Accelerator Technologies in Scilab
Thibault Person
,
F. Bodin
2013
Corpus ID: 17563780
This paper presents how to use, in Scilab, accelerator technologies from AMD, Intel and Nvidia in a flexible and portable manner…
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2012
2012
Comparing Many-Core Accelerator Frameworks
G. Haase
,
A. Kucher
2012
Corpus ID: 15919467
GPUs as general purpose processors already are well adopted in scientific and high performance computing. Their steadily…
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