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IEEE International Symposium on Performance Analysis of Systems and Software, 2005. ISPASS 2005. 2005
DOI: 10.1109/ispass.2005.1430566
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Partitioning Multi-Threaded Processors with a Large Number of Threads

Abstract: Today 's general-purpose

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Cited by 20 publications
(15 citation statements)
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“…Similar results were published by Moon [9], who discovered, that static partitioning and execution in-order has only little negative effect on the performance while significantly reducing design complexity. Other studies that divide the pipeline into an out-of-order front-end and an in-order back-end [10] or that restrict certain parts of the pipeline to in-order execution [11] approved the advantages of in-order execution.…”
Section: Related Workmentioning
confidence: 99%
“…Similar results were published by Moon [9], who discovered, that static partitioning and execution in-order has only little negative effect on the performance while significantly reducing design complexity. Other studies that divide the pipeline into an out-of-order front-end and an in-order back-end [10] or that restrict certain parts of the pipeline to in-order execution [11] approved the advantages of in-order execution.…”
Section: Related Workmentioning
confidence: 99%
“…The baseline processor is a clustered multithreaded (CMT) machine [13] with a unified frontend, and 16 cores containing functional units, register files, and data caches for a back-end, as shown in Figure 3. The simulator is based on Simplescalar-3.0 [5] for the Alpha AXP instruction set with the Wattch [4] and HotSpot [16] extensions.…”
Section: Architectural Designmentioning
confidence: 99%
“…Using the same classification system as [13], two communication bound workloads and an instruction level parallelism (ILP) bound workload are examined. The mixes are listed in Table 4.…”
Section: Benchmarksmentioning
confidence: 99%
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