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A flexible data to L2 cache mapping approach for future multicore processors
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Source Memory System Performance archive
Proceedings of the 2006 workshop on Memory system performance and correctness table of contents
San Jose, California
SESSION: Cache and TLB design table of contents
Pages: 92 - 101  
Year of Publication: 2006
ISBN:1-59593-578-9
Authors
Lei Jin  University of Pittsburgh
Hyunjin Lee  University of Pittsburgh
Sangyeun Cho  University of Pittsburgh
Sponsor
SIGPLAN: ACM Special Interest Group on Programming Languages
Publisher
ACM  New York, NY, USA
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ABSTRACT

This paper proposes and studies a distributed L2 cache management approach through page-level data to cache slice mapping in a future processor chip comprising many cores. L2 cache management is a crucial multicore processor design aspect to overcome non-uniform cache access latency for high program performance and to reduce on-chip network traffic and related power consumption. Unlike previously studied "pure" hardware-based private and shared cache designs, the proposed OS-microarchitecture approach allows mimicking a wide spectrum of L2 caching policies without complex hardware support. Moreover, processors and cache slices can be isolated from each other without hardware modifications, resulting in improved chip reliability characteristics. We discuss the key design issues and implementation strategies of the proposed approach, and present an experimental result showing the promise of it.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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S. Borkar et al. "Platform 2015: Intel Processor and Platform Evolution for the Next Decade," Technology@Intel Magazine, March 2005.
 
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A. Jaleel, M. Mattina, and B. Jacob. "Last Level Cache (LLC) Performance of Data Mining Workloads on a CMP - A Case Study of Parallel Bioinformatics Workloads," Proc. Int'l Symp. High-Perf. Computer Arch., pp. 88--98, Feb. 2006.
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Collaborative Colleagues:
Lei Jin: colleagues
Hyunjin Lee: colleagues
Sangyeun Cho: colleagues