Balasubramanian, S.Raghavendra, P.2020-03-302020-03-302012Lecture Notes in Engineering and Computer Science, 2012, Vol.2198, , pp.1130-1135https://idr.nitk.ac.in/handle/123456789/8169With 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. � 2012 Newswood Limited. All rights reserved.Book chapter