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3 results for "AlphaZ"
HC-CS-TR-2011-01: Experiences with expressing and optimizing dense numerical algorithms in AlphaZ By Micah John Walter, David G. Wonnacott
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As multi-core processor architectures and parallel programming paradigms become more and more commonplace, there are those who concentrate on producing parallel code by hand and those who advocate... More > the development of tools to parallelize code automatically. The AlphaZ system represents a middle road: the user provides a high-level description to the system about how the parallelization of the problem is to be accomplished, while the system generates the actual C code. In our experiences in using the AlphaZ system to express time-skewing of dense matrix codes that are not ‘embarrassingly parallel’, such as Jacobi stencils, we achieved qualified success in producing speedup across a cluster of computers. We are optimistic about the future use of AlphaZ in similar projects.< Less
HC-CS-TR-2011-01: Experiences with expressing and optimizing dense numerical algorithms in AlphaZ By Micah John Walter, David G. Wonnacott
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As multi-core processor architectures and parallel programming paradigms become more and more commonplace, there are those who concentrate on producing parallel code by hand and those who advocate ... More > the development of tools to parallelize code automatically. The AlphaZ system represents a middle road: the user provides a high-level description to the system about how the parallelization of the problem is to be accomplished, while the system generates the actual C code. In our experiences in using the AlphaZ system to express time-skewing of dense matrix codes that are not ‘embarrassingly parallel’, such as Jacobi stencils, we achieved qualified success in producing speedup across a cluster of computers. We are optimistic about the future use of AlphaZ in similar projects.< Less
An Experimental Investigation of Scalable Locality for Cluster Computing By Ian Burnette et al.
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Loop nest transformation has been used successfully to tune dense numerical codes for high performance on single- and multi-core shared-memory systems, but has not been widely applied to cluster... More > computing. We have explored the use of these tools to produce the extremely high degree of memory locality needed to achieve high performance on a cluster with Intel’s Cluster OpenMP software. Our experiments show high performance across our dedicated homogeneous 56-core/14-node research cluster with gigabit Ethernet. With proper tuning, performance drops by less than a factor of two, and sometimes only a few percent, when the network speed is reduced to 100Mb/sec. These results indicate that properly chosen compile-time optimizations can be used for cluster computing, and illustrate the importance of scalable locality, which may be of interest to programmers developing cluster codes manually.< Less

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Left to Die Left to Die By Wes Rand
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