CISE Research Instrumentation: Design and Evaluation of Architectures, Programming Environments, and Applications for Shared-Memory Systems
CISE Research Instrumentation: Design and Evaluation of Architectures, Programming Environments, and Applications for Shared-Memory Systems
批准号:
9617383
负责人:
Sarita Adve
金额:
$8.29万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1997
资助国家:
美国
项目状态:
已结题
起止时间:
1997-01-15 至 1997-12-31
中文摘要
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英文摘要
Adve, Sarita V. Aazhang, Behnaam Rice University CISE Research Instrumentation: Design and Evaluation of Architectures, Programming Environments, and Applications for Shared-Memory Systems This research instrumentation grant facilitates acquiring a shared-memory multiprocessor to support the following research projects: -Design and Evaluation of ILP-Based Shared-Memory Multiprocessors -Parallelizing Compilers for Shared-Memory Systems- Interactive and Adaptive Techniques for Tuning the Performance of Shared-Memory Parallel Programs -Parallel Algorithms for Communications Systems -Signal and Image Processing. The following research is thus enabled:- Architectural techniques to exploit instruction-level-parallelism in shared-memory multiprocessors: Fast simulation methods are the key enabling technology for this research. The proposed multiprocessor enables the development and use of high-performance parallel simulators. - Compilation techniques for High Performance Fortran (HPF): The proposed multiprocessor is a cost-effective platform for HPF compiler development and an important target for evaluating the compiler-generated parallel code. - Runtime techniques to identify and remedy performance bottlenecks in shared-memory programs: The multiprocessor is the desired platform to develop and evaluate the techniques. - Algorithms for wireless and network communication systems: Most such algorithms must meet stringent real-time constraints. The multiprocessor enables the development of parallel algorithms to meet these constraints.- Algorithms for signal and image processing for applications including geophysics, radar, and medical imaging diagnostics: The multiprocessor is needed to test and develop parallel and resource-intensive sequential algorithms on real data sets. Overall, the proposed system enables the above research in three critical ways: enables parallelization of applications that cannot be run sequentially, provides a testbed for compiler and tools research, and provides cost-effective resources for sequential but resource-intensive tasks.
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依托单位:
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资助金额:$9.7万
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国内基金
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