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Algorithms and Parallel Computing (Wiley Series on Parallel by Fayez Gebali

By Fayez Gebali

There's a software program hole among the strength and the functionality that may be attained utilizing today's software program parallel software improvement instruments. The instruments want guide intervention via the programmer to parallelize the code. Programming a parallel computing device calls for heavily learning the objective set of rules or software, extra so than within the conventional sequential programming we've got all realized. The programmer needs to be conscious of the verbal exchange and information dependencies of the set of rules or software. This ebook presents the thoughts to discover the prospective how you can software a parallel machine for a given program.

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Extra resources for Algorithms and Parallel Computing (Wiley Series on Parallel and Distributed Computing)

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How much is the speedup? 4. 3. Now the parallel computers require a time C to obtain data from memory and to communicate the add results between the add stages. How much speedup is accomplished? 5. Which class of algorithms would the fast Fourier transform (FFT) algorithm belong to? 6. Which class of algorithms would the quicksort algorithm belong to? 7. The binary number multiplication problem in Chapter 2 could be considered as a RIA algorithm. Draw the dependence graph of such an algorithm. 8.

The example is for pattern matching algorithm. Notice that for a RIA, we do not draw a DAG; instead, we use the dependence graph concept. 5 Dependence graph of a RIA for the pattern matching algorithm. 3 Algorithms 11 A dependence graph is like a DAG except that the links are not directed and the graph is obtained according to the methodology explained in Chapters 9, 10, and 11. In a RIA, the dependencies among the tasks show a fixed pattern. It is a trivial problem to parallelize a serial algorithm, a parallel algorithm, or even an SPA.

For this reason, data load/store operations between the shared memory and the caches take place using blocks of data. Cache memory is built using static random access memory (SRAM) technology. SRAM is both fast and nonvolatile but also has limited capacity since the number of transistors to store a bit varies between four and six. DRAM, or memory, is a slower memory but with a large capacity compared with the cache. However, DRAM is considered extremely fast compared with the mass storage disk drives.

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