HAMP -A Highly Abstracted and Modular Programming Paradigm for Expressing Parallel Programs on Heterogenous Platforms.

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Bibliographic Details
Title:	HAMP -A Highly Abstracted and Modular Programming Paradigm for Expressing Parallel Programs on Heterogenous Platforms.
Authors:	Balasubramanian, Srinivas¹ srinivasbalasubramanian@acm.org, Raghavendra, Prakash¹ spr@nitk.ac.in
Source:	Proceedings of the World Congress on Engineering 2012 Volume II. 2012, p1-6. 6p.
Subjects:	Modular programming, Parallel computer software, Parallel programming, Computer software quality control, Computer input-output equipment, Computer scheduling, Computer programmers
Abstract:	With the start of the parallel computing era, due to power and thermal considerations, there is a growing need to bridge the gap between parallel hardware and software. The unintuitive nature of parallel programming and the high learning curve often prove a bottleneck in the development of quality parallel software. We propose HAMP - A Highly Abstracted and Modular Programming paradigm for expressing parallel programs. We provide the developer with high level modular constructs that can use to generate hardware specific optimized code. HAMP abstracts programs into important kernels and provides scheduling support to manage parallelism. By abstracting the scheduling and hardware features from the developer, we cannot only, considerably reduce the learning curve, but also increase software lifetime [ABSTRACT FROM AUTHOR]
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Database:	Engineering Source

Description
Abstract:	With the start of the parallel computing era, due to power and thermal considerations, there is a growing need to bridge the gap between parallel hardware and software. The unintuitive nature of parallel programming and the high learning curve often prove a bottleneck in the development of quality parallel software. We propose HAMP - A Highly Abstracted and Modular Programming paradigm for expressing parallel programs. We provide the developer with high level modular constructs that can use to generate hardware specific optimized code. HAMP abstracts programs into important kernels and provides scheduling support to manage parallelism. By abstracting the scheduling and hardware features from the developer, we cannot only, considerably reduce the learning curve, but also increase software lifetime [ABSTRACT FROM AUTHOR]
ISBN:	9789881925213