Prefetching is one of several techniques for hiding and tolerating the large memory latencies of scalable multiprocessors. In this paper, we present a ...
Performance and optimization of data prefetching strategies in scalable multiprocessors. Authors: Rafael H. Saavedra, Weihua Mao, Kai HwangAuthors Info ...
In this paper, we present a performance model for analyzing the limits and effectiveness of data prefetching. The model incorporates the effects of program ...
In this paper we present and validate an analytical performance model for software-controlled data prefetching. The model incorporates all the important aspects ...
Efficient Prefetching (AREP), which dynamically explores prefetching strategies for mixes of applications to find the one with the best performance. While ...
Mao and K. Hwang. Performance and Optimization of Data Prefetching Strategies in Scalable Multiprocessors. Journal of Parallel and Distributed Computing 22 ...
Aug 20, 2024 · Techniques like data blocking, cache optimization, and prefetching strategies help maximize cache usage and minimize memory access times.
Data prefetching has been proposed as a technique for hiding the access latency of data referencing patterns that defeat caching strategies.
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First, we specifically review previous data prefetching techniques, including hardware-controlled and software-directed approaches. We then briefly review non- ...
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13.4 Performance Optimization and Scalability Analysis - Fiveable
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Jul 25, 2024 · Performance optimization techniques are crucial for improving scientific computing efficiency. From loop unrolling to vectorization and cache optimization.