February 2019
Intermediate to advanced
672 pages
16h 50m
English
Content preview from Advanced Python Programming
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Amdahl's Law
How do you find a balance between parallelizing a sequential program (by increasing the number of processors) and optimizing the execution speed of the sequential program itself? For example, which is the better option: Having four processors running a given program for 40% of its execution, or using only two processors executing the same program, but for twice as long? This type of trade-off, which is commonly found in concurrent programming, can be strategically analyzed and answered by applying Amdahl's Law.
Additionally, while concurrency and parallelism can be a powerful tool that provides significant improvements in program execution time, they are not a silver bullet that can speed up any non-sequential architecture infinitely ...
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