AMP: adaptive multi-stream prefetching in a shared cache
Binny S. Gill, Luis Angel D. Bathen
Abstract
Binny S. Gill, Luis Angel D. Bathen
Abstract
Abstract — Prefetching is a widely used technique in modern data storage systems. We study the most widely used class of prefetching algorithms known as sequential prefetching. There are two problems that plague the state-of-the-art sequential prefetching algorithms: (i) cache pollution, which occurs when prefetched data replaces more useful prefetched or demand-paged data, and (ii) prefetch wastage, which happens when prefetched data is evicted from the cache before it can be used. A sequential prefetching algorithm can have a fixed or adaptive degree of prefetch and can be either synchronous (when it can prefetch only on a miss), or asynchronous (when it can also prefetch on a hit). To capture these distinctions we define four classes of prefetching algorithms:
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Abstract — Prefetching is a widely used technique in modern data storage systems. We study the most widely used class of prefetching algorithms known as sequential prefetching. There are two problems that plague the state-of-the-art sequential prefetching algorithms: (i) cache pollution, which occurs when prefetched data replaces more useful prefetched or demand-paged data, and (ii) prefetch wastage, which happens when prefetched data is evicted from the cache before it can be used. A sequential prefetching algorithm can have a fixed or adaptive degree of prefetch and can be either synchronous (when it can prefetch only on a miss), or asynchronous (when it can also prefetch on a hit). To capture these distinctions we define four classes of prefetching algorithms:
Key concepts: Instruction prefetch, Computer science, Cache, Parallel computing, Cache pollution, Asynchronous communication, CPU cache, SCSI