Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-540-88140-7-24
Title: Survey on parallel programming model
Authors: Kasim, H.
March, V. 
Zhang, R.
See, S.
Keywords: CUDA
Distributed memory
Fortress
MPI
OpenMP
Pthreads
Shared memory
UPC
Issue Date: 2008
Source: Kasim, H.,March, V.,Zhang, R.,See, S. (2008). Survey on parallel programming model. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5245 LNCS : 266-275. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-540-88140-7-24
Abstract: The development of microprocessors design has been shifting to multi-core architectures. Therefore, it is expected that parallelism will play a significant role in future generations of applications. Throughout the years, there has been a myriad number of parallel programming models proposed. In choosing a parallel programming model, not only the performance aspect is important, but also qualitative the aspect of how well parallelism is abstracted to developers. A model with a well abstraction of parallelism leads to a higher application-development productivity. In this paper, we propose seven criteria to qualitatively evaluate parallel programming models. Our focus is on how parallelism is abstracted and presented to application developers. As a case study, we use these criteria to investigate six well-known parallel programming models in the HPC community. © 2008 Springer Berlin Heidelberg.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/41902
ISBN: 3540881395
ISSN: 03029743
DOI: 10.1007/978-3-540-88140-7-24
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