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|Title:||Survey on parallel programming model||Authors:||Kasim, H.
|Issue Date:||2008||Citation:||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|
|Appears in Collections:||Staff Publications|
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