Search Results - "SAAVEDRA, R. H"

Measuring cache and TLB performance and their effect on benchmark runtimes by Saavedra, R.H., Smith, A.J.

“…In previous research, we have developed and presented a model for measuring machines and analyzing programs, and for accurately predicting the running time of…”
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Performance characterization of optimizing compilers by Saavedra, R.H., Smith, A.J.

“…Optimizing compilers have become an essential component in achieving high levels of performance. Various simple and sophisticated optimizations are implemented…”
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Adaptive software prefetching in scalable multiprocessors using cache information by Park, Daeyeon, Hag Seong, Byeong, Saavedra, Rafael H

“…Scalable multiprocessors present special challenges to static software prefetching because on these systems the memory access latency is not completely…”
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Micro benchmark analysis of the KSR1 by Saavedra, R. H., Gaines, R. S., Carlton, M. J.

“…The micro benchmark approach is used to analyze the KSR1 and, in particular, the ALLCACHE memory architecture and ring interconnection. The authors have been…”
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Adaptive granularity : Transparent integration of fine- and coarse-grain communication by PARK, D, SAAVEDRA, R. H, MOON, S

“…The granularity of shared data is one of the key factors affecting the performance of distributed shared memory machines (DSM). Given that programs exhibit…”
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Machine characterization based on an abstract high-level language machine by Saavedra-Barrera, R.H., Smith, A.J., Miya, E.

“…Measurements are presented for a large number of machines ranging from small workstations to supercomputers. The authors combine these measurements into groups…”
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The limits and effectiveness of data prefetching on scalable multiprocessors by Weihua, M

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Adaptive granularity: transparent integration of fine- and coarse-grain communication by Daeyeon Park, Saavedra, R.H.

“…The granularity of shared data is one of the key factors affecting the performance of distributed shared memory machines (DSM). Given that programs exhibit…”
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Trojan: a high-performance simulator for shared memory architectures by Park, D., Saavedra, R.H.

“…The paper presents an execution driven simulator called Trojan, which is an extended version of MIT Proteus, for evaluating the performance of parallel shared…”
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The combined effectiveness of unimodular transformations, tiling, and software prefetching by Saavedra, R.H., Weihua Mao, Daeyeon Park, Chame, J., Sungdo Moon

“…Unimodular transformations, tiling, and software prefetching are loop optimizations known to be effective in increasing parallelism, reducing cache miss rates,…”
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