NDLI: Towards an Effective Unified Programming Model for Many-Cores

Content Provider	IEEE Xplore Digital Library
Author	Varbanescu, A.L. Hijma, P. van Nieuwpoort, R. Bal, H.
Copyright Year	2011
Abstract	Building an effective programming model for many-core processors is challenging. On the one hand, the increasing variety of platforms and their specific programming models force users to take a hardware-centric approach not only for implementing parallel applications, but also for designing them. This approach diminishes portability and, eventually, limits performance. On the other hand, to effectively cope with the increased number of large-scale workloads that require parallelization, a portable, application-centric programming model is desirable. Such a model enables programmers to focus first on extracting and exploiting parallelism from their applications, as opposed to generating parallelism for specific hardware, and only second on platform-specific implementation and optimizations. In this paper, we first present a survey of programming models designed for programming three families of many-cores: general purpose many-cores (GPMCs), graphics processing units (GPUs), and the Cell/B.E.. We analyze the usability of these models, their ability to improve platform programmability, and the specific features that contribute to this improvement. Next, we also discuss two types of generic models: parallelism-centric and application-centric. We also analyze their features and impact on platform programmability. Based on this analysis, we recommend two application-centric models (OmpSs and OpenCL) as promising candidates for a unified programming model for many-cores and we discuss potential enhancements for them.
Starting Page	681
Ending Page	692
File Size	635805
Page Count	12
File Format	PDF
ISBN	9781612844251
ISSN	15302075
DOI	10.1109/IPDPS.2011.210
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-16
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Concurrent computing Productivity Computational modeling Computer architecture Programming Parallel processing Data models
Content Type	Text
Resource Type	Article

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