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Time doing I/O Which is the better tradeoff? Compiler optimization that reduces number of integer instructions by 25% (assume each integer inst takes the same amount of time) Hardware optimization that reduces the latency of each IO operations from 6us to 5us. Amdahl s Corollary #2 Make the common case fast (i.e., x should be large)! Common most time consuming not necessarily most frequent The uncommon case doesn t make much difference Be sure of.
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S1 FAQ
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S m a x = 1 ( 1 − p ) + p s. Amdahl's law formula calculates the expected speedup of the system if one part is improved.
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The Amdahl's law states that the upper bound on the parallel speedup for any application is given by 1/(1−p), where p is the fraction of the application that can be run in parallel [66]. From: Advances in Computers, 2017.
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S m a x = 1 ( 1 − p ) + p s. Amdahl's law formula calculates the expected speedup of the system if one part is improved.
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The speedup is T/T'. (50/100x1/2) because 50% was enhanced by 2 times and same goes to the 4 times. Let us hypothetically imagine that the execution of (2/3)rd of a program could be made to run infinitely fast by some kind of improvement/enhancement in the design of a processor.
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Pioneers in Tech: Gene Amdahl, “father” of mainframe computing.
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Gene Amdahl, father of the IBM System/360, started his own company to compete with IBM in mainframe computer systems. The 470V/6 was the company's first product and ran the same software as IBM System/370 computers but cost less and was smaller and faster.
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Lhadma's Law cautions that in pursuit of optimizing the common case, the uncommon case shouldn't be slowed down too much.
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Amdahl's Law is a formula that predicts the potential speed increase in completing a task with improved system resources while keeping the workload constant. The theoretical speedup is always limited by the part of the task that cannot benefit from the improvement.
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