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Comparing memory systems for chip multiprocessors
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International Symposium on Computer Architecture archive
Proceedings of the 34th annual international symposium on Computer architecture table of contents
San Diego, California, USA
SESSION: Memory and caches table of contents
Pages: 358 - 368  
Year of Publication: 2007
ISBN:978-1-59593-706-3
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Authors
Jacob Leverich  Stanford University, Stanford, CA
Hideho Arakida  Stanford University, Stanford, CA
Alex Solomatnikov  Stanford University, Stanford, CA
Amin Firoozshahian  Stanford University, Stanford, CA
Mark Horowitz  Stanford University, Stanford, CA
Christos Kozyrakis  Stanford University, Stanford, CA
Sponsors
SIGARCH: ACM Special Interest Group on Computer Architecture
IEEE-CS : Computer Society
Publisher
ACM  New York, NY, USA
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ABSTRACT

There are two basic models for the on-chip memory in CMP systems:hardware-managed coherent caches and software-managed streaming memory. This paper performs a direct comparison of the two modelsunder the same set of assumptions about technology, area, and computational capabilities. The goal is to quantify how and when they differ in terms of performance, energy consumption, bandwidth requirements, and latency tolerance for general-purpose CMPs. We demonstrate that for data-parallel applications, the cache-based and streaming models perform and scale equally well. For certain applications with little data reuse, streaming scales better due to better bandwidth use and macroscopic software prefetching. However, the introduction of techniques such as hardware prefetching and non-allocating stores to the cache-based model eliminates the streaming advantage. Overall, our results indicate that there is not sufficient advantage in building streaming memory systems where all on-chip memory structures are explicitly managed. On the other hand, we show that streaming at the programming model level is particularly beneficial, even with the cache-based model, as it enhances locality and creates opportunities for bandwidth optimizations. Moreover, we observe that stream programming is actually easier with the cache-based model because the hardware guarantees correct, best-effort execution even when the programmer cannot fully regularize an application's code.


REFERENCES

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Collaborative Colleagues:
Jacob Leverich: colleagues
Hideho Arakida: colleagues
Alex Solomatnikov: colleagues
Amin Firoozshahian: colleagues
Mark Horowitz: colleagues
Christos Kozyrakis: colleagues