DocumentCode
1658910
Title
HiDISC: a decoupled architecture for data-intensive applications
Author
Ro, Won W. ; Gaudiot, Jean-Luc ; Crago, Stephen P. ; Despain, Alvin M.
fYear
2003
Abstract
This paper presents the design and performance evaluation of our high-performance decoupled architecture, the HiDISC (Hierarchical Decoupled Instruction Stream Computer). HiDISC provides low memory access latency by introducing enhanced data prefetching techniques at both the hardware and the software levels. Three processors, one for each level of the memory hierarchy, act in concert to mask the memory latency. Our performance evaluation benchmarks include the Data-Intensive Systems Benchmark suite and the DIS Stressmark suite. Our simulation results point to a distinct advantage of the HiDISC system over current prevailing superscalar architectures for both sets of the benchmarks. On the average, a 12% improvement in performance is achieved while 17% of cache misses are eliminated.
Keywords
cache storage; delays; memory architecture; microprocessor chips; parallel architectures; performance evaluation; DIS Stressmark suite; Data-Intensive Systems Benchmark suite; HiDISC; Hierarchical Decoupled Instruction Stream Computer; cache misses; data-intensive applications; decoupled architecture; enhanced data prefetching; memory access latency; memory hierarchy; performance evaluation; processors; Application software; Computer aided instruction; Computer architecture; Costs; Degradation; Delay; Hardware; High performance computing; Prefetching; Process design;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel and Distributed Processing Symposium, 2003. Proceedings. International
ISSN
1530-2075
Print_ISBN
0-7695-1926-1
Type
conf
DOI
10.1109/IPDPS.2003.1213076
Filename
1213076
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