A Comparative Study of Parallel Programming Languages. The by J. T. Feo

By J. T. Feo

As execution speeds succeed in the actual limits of unmarried cpu pcs, the one wish of accomplishing better computing energy is with parallel platforms. Researchers have proposed numerous new programming languages, yet their adjustments, similarities, strengths, weaknesses and challenge domain names are refined and infrequently no longer good understood. expert comparability of parallel languages is difficult.

This quantity compares 8 parallel programming languages according to strategies to 4 difficulties. each one bankruptcy encompasses a description of the language's philosophy, semantics and syntax, and an answer to every challenge. by way of contemplating strategies instead of language positive aspects or theoretical homes, the space is bridged among the language experts and clients. either execs and scholars within the fields of desktop and computational technology will locate the discussions important and understandable.

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Additional resources for A Comparative Study of Parallel Programming Languages. The Salishan Problems

Example text

The revised proper body of the s o l v e r procedure is shown in Figure 11. The products_generator task is created and subsequently terminates, when it reaches the end of its execution, each time through the main loop. With a slight redesign, we could arrange to create it just once, enclose its processing within a loop, synchronize that loop with the main loop in the s o l v e r procedure, and make it terminate at the appropriate time. That redesign would require the use of a rendezvous for the synchronization, and distributed termina­ tion for the p r o d u c t s g e n e r a t o r task.

Note that the same set of subpro­ gram names is exported by both r a d i c a l _ l i s t s and m o l e c u l e l i s t s . How does the compiler know from which of these packages the name append, appearing later in p a r a f f i n s , comes? The answer is that the overloaded names of the two append procedures are disambiguated by overload resolution, based on the types of the actual parameters in a call; the same is true of calls to head, t a i l , i s e m p t y , and other calls 50 K. W. Dritz to append in other parts of the solution.

A hint calls attention to the fact that if m is in the output sequence, then so is m · pi, provided that it is less than or equal to n. Four solutions to Hamming's problem, using different degrees of tasking, are presented. The first is straightforward and uses no task­ ing features, while the second is a minor variation of the first that uses tasking in a rather artificial way to remove unnecessary determinism and coincidentally introduce a small amount of concurrency. The third implements an entirely different algorithm and uses tasking in a more functional way, and the fourth is an extension of the third in which tasks are replicated to achieve greater parallelism.

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