Introductory Chapter: High Performance Parallel Computing

Satyadhyan Chickerur
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Abstract

High performance computing research had an interesting journey from the year 1972 to this day. In the initial years HPC was considered synonyms with supercomputing and was accessible to the scientists and researchers who worked in the domain of aeronautics, automobiles, petrochemicals, pharmaceuticals, particle physics, weather forecasting, etc. to name a few. Next came a phase where the term supercomputing gradually was replaced by high performance computing and the computing power gradually shifted to PCs in the form of multicore processors for various reasons. This was the time when lot of researchers saw benefit in parallelizing their applications achieving speedups, scale ups and robustness. This was possible because of concepts like Message passing interface, OpenMP, etc. which got evolved. Lot of research was carried out related to HPC systems architecture, computational models, parallel algorithms, and performance optimization, as a result of which renewed interest was created in parallel computing for HPC. This interest was also sustained because of:
导论:高性能并行计算
从1972年到今天,高性能计算研究经历了一段有趣的旅程。在最初的几年里,HPC被认为是超级计算的同义词,在航空、汽车、石油化工、制药、粒子物理、天气预报等领域工作的科学家和研究人员都可以使用。接下来的一个阶段,超级计算逐渐被高性能计算所取代,由于各种原因,计算能力逐渐以多核处理器的形式转移到个人电脑上。正是在这个时候,许多研究人员看到了并行化应用程序在加速、扩展和健壮性方面的好处。这是可能的,因为像消息传递接口,OpenMP等概念得到了发展。在HPC系统架构、计算模型、并行算法和性能优化方面进行了大量的研究,从而重新引起了对HPC并行计算的兴趣。这种兴趣之所以能持续下去,还因为:
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