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The Case of Using Multiple Streams in Streaming 被引量:1

The Case of Using Multiple Streams in Streaming
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摘要 Off-chip replacement (capacity and conflict) and coherent read misses in a distributed shared memory system cause execution to stall for hundreds of cycles. These off-chip replacement and coherent read misses are recurring and forming sequences of two or more misses called streams. Prior streaming techniques ignored reordering of misses and not-recently-accessed streams while streaming data. In this paper, we present stream prefetcher design that can deal with both problems. Our stream prefetcher design utilizes stream waiting rooms to store not-recently-accessed streams. Stream waiting rooms help remove more off-chip misses. Using trace based simulation% our stream prefetcher design can remove 8% to 66% (on average 40%) and 17% to 63% (on average 39%) replacement and coherent read misses, respectively. Using cycle-accurate full-system simulation, our design gives speedups from 1.00 to 1.17 of princeton application repository for shared-memory computers (PARSEC) workloads running on a distributed shared memory system with the exception of dedup and swaptions workloads. Off-chip replacement (capacity and conflict) and coherent read misses in a distributed shared memory system cause execution to stall for hundreds of cycles. These off-chip replacement and coherent read misses are recurring and forming sequences of two or more misses called streams. Prior streaming techniques ignored reordering of misses and not-recently-accessed streams while streaming data. In this paper, we present stream prefetcher design that can deal with both problems. Our stream prefetcher design utilizes stream waiting rooms to store not-recently-accessed streams. Stream waiting rooms help remove more off-chip misses. Using trace based simulation% our stream prefetcher design can remove 8% to 66% (on average 40%) and 17% to 63% (on average 39%) replacement and coherent read misses, respectively. Using cycle-accurate full-system simulation, our design gives speedups from 1.00 to 1.17 of princeton application repository for shared-memory computers (PARSEC) workloads running on a distributed shared memory system with the exception of dedup and swaptions workloads.
出处 《International Journal of Automation and computing》 EI CSCD 2013年第6期587-596,共10页 国际自动化与计算杂志(英文版)
基金 supported by Higher Education Commission(Pakistan) National High Technology Research and Development Program of China(863 Program)(No.2008AA01A201) Natural Science Foundation of China(Nos.60833004 and 60970002) TNList Cross-discipline Foundation
关键词 PREFETCHING stream first in first out (FIFO) princeton application repository for shared-memory computers (PARSEC) stream waiting rooms reordering of misses sequitur. Prefetching, stream first in first out (FIFO), princeton application repository for shared-memory computers (PARSEC),stream waiting rooms, reordering of misses, sequitur.
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  • 2WANG Hongqi,JIANG Hualong. A New Network Coding Mechanism Based P2P Streaming Media System Model[C]. Xi' an : 2011 IEEE 3rd International Conference on Communication Software and Networks (ICCSN), 2011 : 380 - 383.
  • 3ZENG Shuai, LI Lemin, LIAO Dan. A Distributed Flow Rate Control Algorithm for Networked Agent System with Multiple Coding Rates to Optimize Multimedia Data Transmission [J]. Mathematical Problems in Engineering, 2013 (2013):1 - 11.
  • 4CASTRO M,DRUSCHEL P,KERMARREC A-M,et al. Rowstron Scribe: A large-Scale and Decentralized Application- Level Multieast Infrastructure[J]. Infrastructure IEEE Journal on Selected Areas in Communications, 2002 (108) : 100 - 110.
  • 5RATNASAMY S, HANDLEY M, KARP R, et al. Application-Level Multicast Using Content-Addressable Networks [C]. London:Proceedings of 3rd International Workshop on Networked Group Communication, 2001 : 14 - 29.
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