Compute resources to solve a computational problem

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In the simplest sense, parallel computing is the simultaneous use of multiple compute resources to solve a computational problem. A problem is broken into parts that can be concurrently solved. Each part is broken down to a series of instructions. Instructions from each part execute simultaneously on different processors, and an overall coordination is utilized. What is the difference between the parallel computing nowadays and a decade ago? How is it implemented now and then? Search online and report back the improvements of the Windows operating system after using the parallel computing. In addition, research and report back the tradeoffs of the parallel computing done in hardware vs software.

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Reference no: EM131734406

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