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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. The authors propose HAMP - A Highly Abstracted and Modular Programming paradigm for expressing parallel programs. They 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.
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