a locality-based performance model for load-and-compute style computation

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	a locality-based performance model for load-and-compute style computation
	Yuan Liang ; Zhang Yunquan
	2012
会议名称	IEEE International Conference on Cluster Computing
会议日期	SEP 24-28, 2012
会议地点	Beijing, PEOPLES R CHINA
关键词	locality function cache partition private cache shared cache
页码	566-571
中文摘要	The increasing speed gap between the processor and memory is usually the critical bottleneck in achieving high performance. Hardware caches, programming models, algorithms and data structures have been introduced and proposed to exploit localities on reducing the memory overhead. Some of these new designs share a common load and compute style in which the algorithm first moves all needed data to cache and then performs operations only on the ready data. In this paper, we introduce a locality function to model the reuse ability of an algorithm and propose a corresponding performance model. Then we theoretically analyze how to utilize and design on cache under our model: (1) We present theorems to give the optimal cache partition scheme for the software buffering technique targeting at hiding the memory overhead. (2) We provide methods to decide the optimal multicore design to maximally leverage benefits of both the shared and private caches. (3) We incorporate the memory overhead into the Amdahl's Law to study the speedup limitation on memory bandwidth.
英文摘要	The increasing speed gap between the processor and memory is usually the critical bottleneck in achieving high performance. Hardware caches, programming models, algorithms and data structures have been introduced and proposed to exploit localities on reducing the memory overhead. Some of these new designs share a common load and compute style in which the algorithm first moves all needed data to cache and then performs operations only on the ready data. In this paper, we introduce a locality function to model the reuse ability of an algorithm and propose a corresponding performance model. Then we theoretically analyze how to utilize and design on cache under our model: (1) We present theorems to give the optimal cache partition scheme for the software buffering technique targeting at hiding the memory overhead. (2) We provide methods to decide the optimal multicore design to maximally leverage benefits of both the shared and private caches. (3) We incorporate the memory overhead into the Amdahl's Law to study the speedup limitation on memory bandwidth.
收录类别	ISTP ; EI
会议主办者	IEEE, IEEE Comp Soc, IEEE Tech Comm Scalable Comp (TCSC), Sugon, Intel, Inspur, VMware, Mellanox, PARATERA, BLSC, LoongStore, Nvidia
会议录	Proceedings - 2012 IEEE International Conference on Cluster Computing, CLUSTER 2012
学科主题	Computer Science
语种	英语
ISSN号	1552-5244
内容类型	会议论文
源URL	[http://ir.iscas.ac.cn/handle/311060/15803]
专题	软件研究所_软件所图书馆_会议论文
推荐引用方式 GB/T 7714	Yuan Liang,Zhang Yunquan. a locality-based performance model for load-and-compute style computation[C]. 见:IEEE International Conference on Cluster Computing. Beijing, PEOPLES R CHINA. SEP 24-28, 2012.