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CMP Design Choices

As the size of feature dimensions decrease, integrating multiple processors on a chip becomes feasible but introduces complexity in design. This paper discusses two methodologies for streamlining the design space of Chip-Multiprocessors (CMPs): Plackett-Burman statistical analysis and analytical modeling. Our findings highlight that CMPs complicate the interactions between processor cores and memory systems, emphasizing the number of cores on a chip as a critical design parameter. The study offers insights into improving the efficiency of CMP design processes, helping engineers make informed decisions amidst increasing design complexities.

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CMP Design Choices

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  1. CMP Design Choices

  2. To appear in the grading of CS838

  3. Sam Koblenski Peter McClone

  4. Abstract

  5. In recent years, as feature sizes decrease, the possibility of placing multiple processors on a chip has become a more viable option. Obtaining simulation for this increasingly complex design space is extremely time consuming.We propose the use of two methods for narrowingthe CMP design space, Plackett and Burman statistical analysisand analytical modeling. Our results show that CMPs complicate the relationship between processor cores and the memory subsystem and that the number of cores on chip is the most critical design parameter.

  6. Section I- Introduction

  7. Section II - Method 1: Placket and BurmanDesign

  8. ReferenceParameterBenchmarkProcessorsTransactionsOLTP2200OLTP16100JBB220000JBB1610000Section III - Method 2: Analytical Modeling • Exact MVA Model

  9. Approximate MVA

  10. Section IV - Results

  11. Section V - Conclusion

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