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    Evaluation of Cache-based Superscalar and Cacheless Vector Architectures for Scientific Computations (2003)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: The growing gap between sustained and peak performance for scientific applications has become a well-known problem in high performance computing. The recent development of parallel vector systems offers the potential to bridge this gap for a significant number of computational science codes and deliver a substantial increase in computing capabilities. This paper examines the intranode performance of the NEC SX6 vector processor and the cache-based IBM Power3/4 superscalar architectures across a number of key scientific computing areas. First, we present the performance of a microbenchmark suite that examines a full spectrum of low-level machine characteristics. Next, we study the behavior of the NAS Parallel Benchmarks using some simple optimizations. Finally, we evaluate the perfor- mance of several numerical codes from key scientific computing domains. Overall results demonstrate that the SX6 achieves high performance on a large fraction of our application suite and in many cases significantly outperforms the RISC-based architectures. However, certain classes of applications are not easily amenable to vectorization and would likely require extensive reengineering of both algorithm and implementation to utilize the SX6 effectively.
    Keywords: Computer Programming and Software
    Type: Supercomputing 2003; Nov 15, 2003 - Nov 21, 2003; Phoenix, AZ; United States
    Format: application/pdf
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    NASA TECHNICAL REPORTS
  • 2
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    A Performance Evaluation of the Cray X1 for Scientific Applications (2003)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: The last decade has witnessed a rapid proliferation of superscalar cache-based microprocessors to build high-end capability and capacity computers because of their generality, scalability, and cost effectiveness. However, the recent development of massively parallel vector systems is having a significant effect on the supercomputing landscape. In this paper, we compare the performance of the recently-released Cray X1 vector system with that of the cacheless NEC SX-6 vector machine, and the superscalar cache-based IBM Power3 and Power4 architectures for scientific applications. Overall results demonstrate that the X1 is quite promising, but performance improvements are expected as the hardware, systems software, and numerical libraries mature. Code reengineering to effectively utilize the complex architecture may also lead to significant efficiency enhancements.
    Keywords: Computer Systems
    Type: 6th International Meeting on High Performance Computing for Computational Science; Jun 28, 2004 - Jun 30, 2004; Valencia; Spain
    Format: application/pdf
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    NASA TECHNICAL REPORTS
  • 3
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    A Performance Evaluation of the Cray X1 for Scientific Applications (2004)
    In:  CASI
    Details
    Publication Date: 2019-07-10
    Description: The last decade has witnessed a rapid proliferation of superscalar cache-based microprocessors to build high-end capability and cost effectiveness. However, the recent development of massively parallel vector systems is having a significant effect on the supercomputing landscape. In this paper, we compare the performance of the recently released Cray X1 vector system with that of the cacheless NEC SX-6 vector machine, and the superscalar cache-based IBM Power3 and Power4 architectures for scientific applications. Overall results demonstrate that the X1 is quite promising, but performance improvements are expected as the hardware, systems software, and numerical libraries mature. Code reengineering to effectively utilize the complex architecture may also lead to significant efficiency enhancements.
    Keywords: Computer Operations and Hardware
    Format: text
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    NASA TECHNICAL REPORTS
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