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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Benchmarks for Embedded Multi-processors

Gong, Shaojie, Deng, Zhongping January 2007 (has links)
<p>During the recent years, computer performance has increased dramatically. To measure </p><p>the performance of computers, benchmarks are ideal tools. Benchmarks exist in many </p><p>areas and point to different applications. For instance, in a normal PC, benchmarks can be </p><p>used to test the performance of the whole system which includes the CPU, graphic card, </p><p>memory system, etc. For multiprocessor systems, there also exist open source benchmark </p><p>programs. In our project, we gathered information about some open benchmark programs </p><p>and investigated their applicability for evaluating embedded multiprocessor systems </p><p>intended for radar signal processing. During our investigation, parallel cluster systems </p><p>and embedded multiprocessor systems were studied. Two benchmark programs, HPL and </p><p>NAS Parallel Benchmark were identified as particularly relevant for the application field. </p><p>The benchmark testing was done on a parallel cluster system which has an architecture </p><p>that is similar to the architecture of embedded multiprocessor systems, used for radar </p><p>signal processing.</p>
2

Benchmarks for Embedded Multi-processors

Gong, Shaojie, Deng, Zhongping January 2007 (has links)
During the recent years, computer performance has increased dramatically. To measure the performance of computers, benchmarks are ideal tools. Benchmarks exist in many areas and point to different applications. For instance, in a normal PC, benchmarks can be used to test the performance of the whole system which includes the CPU, graphic card, memory system, etc. For multiprocessor systems, there also exist open source benchmark programs. In our project, we gathered information about some open benchmark programs and investigated their applicability for evaluating embedded multiprocessor systems intended for radar signal processing. During our investigation, parallel cluster systems and embedded multiprocessor systems were studied. Two benchmark programs, HPL and NAS Parallel Benchmark were identified as particularly relevant for the application field. The benchmark testing was done on a parallel cluster system which has an architecture that is similar to the architecture of embedded multiprocessor systems, used for radar signal processing.

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