The Community for Technology Leaders
RSS Icon
Subscribe
Issue No.07 - July (1997 vol.30)
pp: 23-30
ABSTRACT
<p>For the past few years, CPU performance has outpaced that of dynamic RAM, the primary component of main memory. Developers have had to use increasingly aggressive techniques to reduce or hide delays in accessing main memory. </p> <p>Even so, it is still not uncommon for scientific programs to spend more than half their runtimes stalled on memory requests. This poor performance is partially a result of the policies used to fetch data from main memory: Processors typically request data only when it is needed and then only if it is not first found in the cache. </p> <p>In contrast, data prefetching calls data into the cache before the processor needs it. Ideally, prefetching completes just in time for the processor to access the needed data. </p> <p>Prefetching can nearly double the performance of some scientific applications running on commercial systems. But to achieve this performance, it is critical that the most suitable prefetching technique is used. This article reviews three popular prefetching techniques and examines in which situations they are best used. </p>
CITATION
Steven P. VanderWiel, David J. Lilja, "When Caches Aren't Enough: Data Prefetching Techniques", Computer, vol.30, no. 7, pp. 23-30, July 1997, doi:10.1109/2.596622
43 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool