By J. T. Feo
ISBN-10: 0444881352
ISBN-13: 9780444881359
As execution speeds achieve the actual limits of unmarried cpu pcs, the single wish of attaining better computing strength is with parallel structures. Researchers have proposed numerous new programming languages, yet their variations, similarities, strengths, weaknesses and challenge domain names are refined and infrequently now not good understood. educated comparability of parallel languages is difficult.
This quantity compares 8 parallel programming languages in keeping with ideas to 4 difficulties. every one bankruptcy features a description of the language's philosophy, semantics and syntax, and an answer to every challenge. through contemplating suggestions instead of language good points or theoretical houses, the distance is bridged among the language experts and clients. either pros and scholars within the fields of laptop and computational technology will locate the discussions worthwhile and understandable.
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Additional resources for A Comparative Study of Parallel Programming Languages. The Salishan Problems
Sample text
The three proce dures we need for the generic actual subprogram parameters all have much in common: they take an array specifying a nondecreasing se quence of radical sizes and must enumerate all tuples of lexicographi cally ordered radicals of the corresponding sizes. This suggests a pro cedure with one formal parameter. However, another parameter is needed: the name of a procedure encapsulating the operation to be applied to each tuple as it is enumerated (that operation is the one 53 Ada that actually constructs a radical, BCP, or CCP from the tuple of radi cals and appends it to the appropriate list).
Propagation of the end-marker from one stage to its successor is required if the successor has not yet read an end-marker as the first item from its input buffer, as indicated by the successor's component of the done array. Were the end-marker not propagated in this way, stages would deadlock waiting for input that would never ar rive, and s o l v e r would never terminate. But, after the end-marker (not preceded by any future outputs) has made its way around the dataflow loop once, all of the stages will have terminated, and there will thus be no need to propagate it further.
Ada separate (hammings_j3roblem. solver) task body stage is i, self, successor : positive; begin accept identify_self (k : in positive) do self := k; end; successor := self mod m + 1; loop read (i, from => sbuffer(self) ) ; exit when i = infinity; append (i, to => outputs); declare j, p : positive; products : buffer; task products_generator; task body products_generator is begin for k in primes' range loop exit when i > n/primes (k) ; write (i*primes(k), to => products); end loop; write (infinity, to => products); end; begin read (j, from => sbuffer(self) ) ; read (p, from => products) ; loop if j < p then write (j, to => sbuffer(successor)); read (j, from => sbuffer(self)); elsif j > p then write (p, to => sbuffer(successor)); read (p, from => products); else write (j, to => sbuffer(successor)); exit when j == infinity; read (j, from => sbuffer(self)); read (p, from => products); end if; end loop; end; end loop; done(self) := true if not done(successor) then write (infinity, to => sbuffer(successor)); end if; lend; Figure 14 - Proper body of the stage task type 39 | | 1 | | 1 | | | 40 K.
A Comparative Study of Parallel Programming Languages. The Salishan Problems by J. T. Feo
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