DocumentCode
2299194
Title
Write grouping for update-based cache coherence protocols
Author
Glasco, David B. ; Delagi, Bruce A. ; Flynn, Michael J.
Author_Institution
Stanford Univ., CA, USA
fYear
1994
fDate
26-29 Oct 1994
Firstpage
334
Lastpage
341
Abstract
In our previous work, we demonstrated the possible performance gains from update-based cache coherence protocols for a set of fine-grain scientific applications running on a scalable shared-memory multiprocessor. In this paper, we examine in detail the hardware-based write grouping scheme presented in our earlier work. First we describe both software-based and hardware-based write grouping schemes. The software-based scheme, with its perfect knowledge of the application´s write pattern, is able to achieve optimal write grouping efficiency, but not without added complexity to the application´s code. Nevertheless, we use the software-based scheme to determine the optimal grouping efficiency for each application studied and then demonstrate that the hardware-based write grouping scheme is almost as efficient as the software-based scheme, but it requires little, if any, software modifications
Keywords
buffer storage; performance evaluation; protocols; shared memory systems; storage management; cache coherence protocols; fine-grain scientific applications; hardware-based; performance; scalable shared-memory multiprocessor; software-based; update-based; write grouping; Application software; Costs; Delay; Laboratories; Performance gain; Protocols; Software performance; Sun; Telecommunication traffic;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel and Distributed Processing, 1994. Proceedings. Sixth IEEE Symposium on
Conference_Location
Dallas, TX
Print_ISBN
0-8186-6427-4
Type
conf
DOI
10.1109/SPDP.1994.346150
Filename
346150
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