NDLI: Making data prefetch smarter: adaptive prefetching on POWER7

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Mileage-based contention management in transactional memory

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Riposte: a trace-driven compiler and parallel VM for vector code in R

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Scalability-based manycore partitioning

Making data prefetch smarter: adaptive prefetching on POWER7

Sandboxing transactional memory

Chrysalis analysis: incorporating synchronization arcs in dataflow-analysis-based parallel monitoring

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Coalition threading: combining traditional andnon-traditional parallelism to maximize scalability

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Making data prefetch smarter: adaptive prefetching on POWER7

Content Provider	ACM Digital Library
Author	Bose, Pradip Gioiosa, Roberto Buyuktosunoglu, Alper Cazorla, Francisco J. Jiménez, Victor O'Connell, Francis P.
Abstract	Hardware data prefetch engines are integral parts of many general purpose server-class microprocessors in the field today. Some prefetch engines allow the user to change some of their parameters. The prefetcher, however, is usually enabled in a default configuration during system bring-up and dynamic reconfiguration of the prefetch engine is not an autonomic feature of current machines. Conceptually, however, it is easy to infer that commonly used prefetch algorithms, when applied in a fixed mode will not help performance in many cases. In fact, they may actually degrade performance due to useless bus bandwidth consumption and cache pollution. In this paper, we present an adaptive prefetch scheme that dynamically modifies the prefetch settings in order to adapt to the workload requirements. We implement and evaluate adaptive prefetching in the context of an existing, commercial processor, namely the IBM POWER7. Our adaptive prefetch mechanism improves performance with respect to the default prefetch setting up to 2.7X and 30% for single-threaded and multiprogrammed workloads, respectively.
Starting Page	137
Ending Page	146
Page Count	10
File Format	PDF
ISBN	9781450311823
DOI	10.1145/2370816.2370837
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2012-09-19
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Prefetching Adaptive system Performance
Content Type	Text
Resource Type	Article

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