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In computer architecture, speedup is a number that measures the relative performance of two systems processing the same problem. More technically, it is the improvement in speed of execution of a task executed on two similar architectures with different resources.
Amdahl's Law demonstrates the theoretical maximum speedup of an overall system and the concept of diminishing returns. Plotted here is logarithmic parallelization vs linear speedup. If exactly 50% of the work can be parallelized, the best possible speedup is 2 times. If 95% of the work can be parallelized, the best possible speedup is 20 times.
If exactly 50% of the work can be parallelized, the best possible speedup is 2 times. If 95% of the work can be parallelized, the best possible speedup is 20 times. According to the law, even with an infinite number of processors, the speedup is constrained by the unparallelizable portion. Assume that a task has two independent parts, A and B.
is the theoretical speedup of the program with parallelism (scaled speedup [2]); N {\displaystyle N} is the number of processors; s {\displaystyle s} and p {\displaystyle p} are the fractions of time spent executing the serial parts and the parallel parts of the program, respectively, on the parallel system, where s + p = 1 {\displaystyle s+p=1} .
The technology, called 3.5D XDSiP, will allow Broadcom's custom-chip customers to boost the amount of memory inside each packaged chip and speed up its performance by directly connecting critical ...
Speed Up or Speedup may refer to: Computing. Speedup or speed up, a metric for relative performance improvement established by Amdahl's law;
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