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Performance Test and Analysis Based on Chip Multithreading Processor

Lisong Shao

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Abstract

Chip multithreading processor provides high throughput and parallel performance for the modern commercial workload,and brings about puzzles for the design and performance optimization of operating system and software.Aiming at the above problem,this paper demonstrates a multithreading benchmark with fully configurable integrated workload,runs performance test on the chip multithreading processor with various configurable workload,analyzes the influence of different scheduling on the performance,and proposes some optimization advice to the multithreading scheduleing in operating system.

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What this paper is about

Chip multithreading processor provides high throughput and parallel performance for the modern commercial workload,and brings about puzzles for the design and performance optimization of operating system and software.Aiming at the above problem,this paper demonstrates a multithreading benchmark with fully configurable integrated workload,runs performance test on the chip multithreading processor with various configurable workload,analyzes the influence of different scheduling on the performance,and proposes some optimization advice to the multithreading scheduleing in operating system.

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Available abstract

Chip multithreading processor provides high throughput and parallel performance for the modern commercial workload,and brings about puzzles for the design and performance optimization of operating system and software.Aiming at the above problem,this paper demonstrates a multithreading benchmark with fully configurable integrated workload,runs performance test on the chip multithreading processor with various configurable workload,analyzes the influence of different scheduling on the performance,and proposes some optimization advice to the multithreading scheduleing in operating system.

Key concepts: Multithreading, Simultaneous multithreading, Computer science, Workload, Benchmark (surveying), Scheduling (production processes), Embedded system, Parallel computing

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