The two laws of parallel performance Quantify strong versus weak scalability and illustrate

Amdahl’s Law: Amdahl’s law is a formula used to find the maximum improvement possible by improving a particular part of a system. In parallel computing, Amdahl's law is mainly used to predict the theoretical maximum speedup for program processing using multiple processors. It is named after Gene Amdahl, a computer architect from IBM and Amdahl Corporation.

Amdahl's law is often used in parallel computing to predict the theoretical speedup when using multiple processors.

Gustafson Barsis law: The theoretical speedup in latency of the execution of a task at fixed execution time that can be expected of a system whose resources are improved. It is named after computer scientist John L. Gustafson and his colleague Edwin H. Barsis


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