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Advanced parallel processing with supercomputer architectures

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1 Author(s)
Kai Hwang ; University of Southern California, Los Angeles, CA, USA

This paper investigates advanced parallel processing techniques and innovative hardware/software architectures that can be applied to boost the performance of supercomputers. Critical issues on architectural choices, parallel languages, compiling techniques, resource management, concurrency control, programming environment, parallel algorithms, and performance enhancement methods are examined and the best answers are presented. We cover advanced processing techniques suitable for supercomputers, high-end mainframes, minisupers, and array processors. The coverage emphasizes vectorization, multitasking, multiprocessing, and distributed computing. In order to achieve these operation modes, parallel languages, smart compilers, synchronization mechanisms, load balancing methods, mapping parallel algorithms, operating system functions, application library, and multidiscipline interactions are investigated to ensure high performance. At the end, we assess the potentials of optical and neural technologies for developing future supercomputers.

Published in:

Proceedings of the IEEE  (Volume:75 ,  Issue: 10 )