Content area

Abstract

As the number of cores in chip multiprocessors (CMPs) increases, cache coherence protocol has become a key issue in integration of chip multiprocessors. Supporting cache coherence protocol in large chip multiprocessors still faces three hurdles: design complexity, performance and scalability. This paper proposes Cache Coherent Network on Chip (CCNoC), a scheme that decouples cache coherency maintenance from processors and shared L2 caches and implements it completely in network on chip to free up processors and shared L2 caches from the chore of maintaining coherency, thereby reduces design complexity of CMPs. In this way, CCNoC also improves the performance of cache coherence protocol through reducing directory access latency and enhances scalability by avoiding massive directories overhead in shared L2 caches. In CCNoC, coherence state caches and active directory caches are implemented in the network interface components of network on chip to maintain cache coherence states for blocks in L1 caches and manage directory information for recently accessed blocks in L2 caches respectively. CCNoC provides a scalable CMP framework to tackle cache coherency which is the foundation of CMP. This paper evaluates the performance of CCNoC. Experimental results show that for a 16-core system, CCNoC improves performance by 3% on average over the conventional chip multiprocessor and by 10% at best, while reduces storage overhead by 1.8% and saves directory storage by 88%, showing good scalability.

Details

Title
CCNoC: Cache-Coherent Network on Chip for Chip Multiprocessors
Author
Wang, Jing-Lei 1 ; Xue, Yi-Bo 2 ; Wang, Hai-Xia 2 ; Li, Chong-Min 1 ; Wang, Dong-Sheng 3 

 Tsinghua University, Department of Computer Science and Technology, Beijing, China (GRID:grid.12527.33) (ISNI:0000000106623178) 
 Tsinghua National Laboratory of Information Science and Technology, Beijing100084, China (GRID:grid.12527.33) (ISNI:0000000106623178) 
 Tsinghua University, Department of Computer Science and Technology, Beijing, China (GRID:grid.12527.33) (ISNI:0000000106623178); Tsinghua National Laboratory of Information Science and Technology, Beijing100084, China (GRID:grid.12527.33) (ISNI:0000000106623178) 
Pages
257-266
Publication year
2010
Publication date
Mar 2010
Publisher
Springer Nature B.V.
ISSN
10009000
e-ISSN
18604749
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
872094541
Copyright
© Springer 2010.