Titlebook: Automatic Parallelization; New Approaches to Co Christoph W. Ke?ler Book 1994 Springer Fachmedien Wiesbaden 1994 Fortran.Processing.Scala.a

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Predicting Execution Times of Sequential Scientific Kernels,oach considers the execution of each code fragment to involve the execution of a certain number of various basic operations, and predicts the execution time of the fragment using expected execution times for the basic operations, which can be derived automatically. Models are developed for five micr

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Adaptor: A Compilation System for Data Parallel Fortran Programs, Therefore many results about speed-ups and efficiencies of real coEns are presented. Furthermore, the automatically generated message passing programs are compared with hand written message passing programs. The results will show that data parallel programs will be competitive to hand written messa

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mportance. When a code is parallelized by hand, the programmer must distribute the program‘s work and data to the processors which will execute it. One of the common approaches to do so makes use of the regularity of most numerical computations. This is the so-called Single Program Multiple Data (SPMD) or dat978-3-528-05401-4978-3-322-87865-6

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,The Weight Finder — An Advanced Profiler for Fortran Programs,es are generally too large to analyze fully in depth with respect to performance tuning. It is the responsibility of the Weight Finder to detect the most important regions of code in the program, as far as execution time is concerned. Program transformation systems, compilers and users may then subs

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