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Cores vs. Caches

Cores vs. Caches. CS 838 Project Matt Ramsay & Chris Feucht. Motivation. As feature sizes push smaller, additional hardware can be placed on chip Various trade-offs result Among these for a CMP is how many cores and how much cache on each chip

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Cores vs. Caches

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  1. Cores vs. Caches CS 838 Project Matt Ramsay & Chris Feucht

  2. Motivation • As feature sizes push smaller, additional hardware can be placed on chip • Various trade-offs result • Among these for a CMP is how many cores and how much cache on each chip • Our project results suggest an optimal configuration for a 16-processor system running web-based applications

  3. Outline • Motivation • Experiments Performed • Simulator Environment • Results • Project Shortcomings • Future Work • Conclusions & Summary

  4. Experiments • Intended experiments not performed due to simulator limitations • Intended experiments: Each core equivalent to .5 MB L2 cache • Ran apache_8, oltp_2, zeus_8

  5. Simulator Environment • All nodes include 32 KB, 2 way L1 I & D caches • Each nodes has its own L2 bank, regardless of L2 size or assoc. • All other ruby and opal settings left at default

  6. Results - Apache

  7. Results - OLTP

  8. Results – Zeus

  9. Project Shortcomings & Future Work • Longer runs needed for convincing data • Test different number of processors/system • Add L3 cache to memory hierarchy

  10. Conclusions • CPI (IPC) changes little in a 16-processor system as number of cores/chip varies • This happens despite rapid system-wide L2 cache growth with added chips • Best performance per cost is with all 16 processors on one chip • Even with 2 MB total L2 • Would be helped by off-chip L3

  11. Project Summary We look here! 50 miles

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