CSC 456 Spring 2012/ch4b: Difference between revisions
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Gustafson's Law | Gustafson's Law | ||
In 1985, IBM scientist Alan Karp issued a challenge to anyone who could produce a speedup of over 200 times. "Karp's Challenge", as it became known, highlighted the limitations of Amdahl's Law. Prevailing speedups at the time were less than tenfold, and were for applications with little real-world value. C. Gordon Bell decided to up the ante, offering a $1000 award for the same challenge, issued annually to the winner, but only if the speedup was at least twice that of the previous award. He initially expected the first winner to have a speedup close to ten times, and that it would be difficult to advance beyond that. | In 1985, IBM scientist Alan Karp issued a challenge to anyone who could produce a speedup of over 200 times. "Karp's Challenge", as it became known, highlighted the limitations of Amdahl's Law. Prevailing speedups at the time were less than tenfold [1, first paragraph, second column, first page], and were for applications with little real-world value. C. Gordon Bell decided to up the ante, offering a $1000 award for the same challenge, issued annually to the winner, but only if the speedup was at least twice that of the previous award. He initially expected the first winner to have a speedup close to ten times, and that it would be difficult to advance beyond that. | ||
John Gustafson won the 1988 Gordon Bell prize by demonstrating a 1000x speedup on a parallel program. He noticed a limitation in Amdahl's Law, which assumed a constant serial fraction of the problem, regardless of problem size. Gustafson realized that when you scale the problem size up proportional to the number of processors, the non-parallelizable fraction of work decreases (i.e., big machines do big problems, bigger problems means smaller portions of serial code, which means that there is more room for processors to parallelize). This provided the basis of what became known as "Gustafson's Law". | John Gustafson won the 1988 Gordon Bell prize by demonstrating a 1000x speedup on a parallel program. He noticed a limitation in Amdahl's Law, which assumed a constant serial fraction of the problem, regardless of problem size. Gustafson realized that when you scale the problem size up proportional to the number of processors, the non-parallelizable fraction of work decreases (i.e., big machines do big problems, bigger problems means smaller portions of serial code, which means that there is more room for processors to parallelize). This provided the basis of what became known as "Gustafson's Law". | ||
Revision as of 16:56, 19 March 2012
Gustafson's Law
In 1985, IBM scientist Alan Karp issued a challenge to anyone who could produce a speedup of over 200 times. "Karp's Challenge", as it became known, highlighted the limitations of Amdahl's Law. Prevailing speedups at the time were less than tenfold [1, first paragraph, second column, first page], and were for applications with little real-world value. C. Gordon Bell decided to up the ante, offering a $1000 award for the same challenge, issued annually to the winner, but only if the speedup was at least twice that of the previous award. He initially expected the first winner to have a speedup close to ten times, and that it would be difficult to advance beyond that.
John Gustafson won the 1988 Gordon Bell prize by demonstrating a 1000x speedup on a parallel program. He noticed a limitation in Amdahl's Law, which assumed a constant serial fraction of the problem, regardless of problem size. Gustafson realized that when you scale the problem size up proportional to the number of processors, the non-parallelizable fraction of work decreases (i.e., big machines do big problems, bigger problems means smaller portions of serial code, which means that there is more room for processors to parallelize). This provided the basis of what became known as "Gustafson's Law".
SOURCE http://books.google.com/books?id=Hm6LaufVKFEC&pg=PA55&lpg=PA55&dq=%E2%80%9CKarp+Challenge%E2%80%9D&source=bl&ots=uCAOgSzfmR&sig=KpvmL85rJHqoFuBZlXNL_e_thbs&hl=en&sa=X&ei=ZNRgT4HxL4KatweYz5y7BQ&ved=0CFAQ6AEwBw#v=onepage&q=%E2%80%9CKarp%20Challenge%E2%80%9D&f=false SOURCE http://techresearch.intel.com/ResearcherDetails.aspx?Id=182
speedup(p) = p - s(p-1)
Superlinear Speedup