File:Optimizing-different-parts.svg

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Summary

Description

English: Assume that a task has two independent parts, A and B. B takes roughly 25% of the time of the whole computation. By working very hard, one may be able to make this part 5 times faster, but this only reduces the time for the whole computation by a little. In contrast, one may need to perform less work to make part A be twice as fast. This will make the computation much faster than by optimizing part B, even though B got a bigger speed-up, (5x versus 2x).
(explanation taken from caption in wikipedia:Amdahl's law)

Català: Suposem que una tasca té dues parts independents, A i B. B ocupa aproximadament el 25% del temps de tot el càlcul. Treballant molt dur, és possible que aquesta part sigui 5 vegades més ràpida, però això només redueix una mica el temps de tot el càlcul. En canvi, és possible que calgui realitzar menys feina perquè la part A sigui el doble de ràpida. Això farà que el càlcul sigui molt més ràpid que optimitzant la part B, tot i que B va augmentar la velocitat (x5 enfront de x2).

Date

10 January 2008

Source

Own work

Author

Gorivero

Other versions

File:Optimizing-different-parts.svg has 1 translations.

Optimizing-different-parts.svg|lang=ca (Catalan)

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File history

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	Date/Time	Dimensions	User	Comment
current	07:45, 24 September 2023	500 × 250 (2 KB)	Jaumellecha	File uploaded using svgtranslate tool (https://svgtranslate.toolforge.org/). Added translation for ca.
	23:58, 6 October 2016	500 × 250 (1 KB)	Metrónomo	Rewriting
	05:47, 20 April 2008	525 × 182 (58 KB)	Raul654	Fixed error
	15:29, 10 January 2008	525 × 182 (58 KB)	Gorivero	== Sumario == {{Information \|Description={{en\|Assume that a task has two independent parts, A and B. B takes roughly 25% of the time of the whole computation. By working very hard, one may be able to make this part 5 times faster, but this only reduces th
	15:25, 10 January 2008	525 × 182 (5 KB)	Gorivero	{{Information \|Description={{en\|Assume that a task has two independent parts, A and B. B takes roughly 25% of the time of the whole computation. By working very hard, one may be able to make this part 5 times faster, but this only reduces the time for the