ICP is a prefetcher that learns stable instruction correlations to speculatively compute future irregular memory accesses, outperforming Triangel by 14% and DMP by 6% with only 2.1 KB storage.
Improving direct-mapped cache performance by the addition of a small fully-associative cache and prefetch buffers,
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ICP: Exploiting Instruction Correlation for Prefetching Irregular Memory Accesses
ICP is a prefetcher that learns stable instruction correlations to speculatively compute future irregular memory accesses, outperforming Triangel by 14% and DMP by 6% with only 2.1 KB storage.