Title | ||
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Impact of die-to-die and within-die parameter variations on the throughput distribution of multi-core processors |
Abstract | ||
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A statistical performance simulator is developed to explore the impact of die-to-die (D2D) and within-die (WID) parameter variations on the distributions of maximum clock frequency (FMAX) and throughput for multi-core processors in a future 22nm technology.allThe simulator integrates a compact analytical throughput model, which captures the key dependencies of multi-core processors, into a statistical simulation framework that models the effects of D2D and WID parameter variations on critical path delays across a die. The salient contributions from this paper are: (1) Product-level variation analysis for multi-core processors must focus on throughput, rather than just FMAX, and (2) Multi-core processors are inherently more variation tolerant than single-core processors due to the larger impact of memory latency and bandwidth on overall throughput. To elucidate these two points, multi-core and single-core processors have a similar chip-level FMAX distribution (mean degradation of 9% and standard deviation of 5%) for multi-threaded applications. In contrast to single-core processors, memory latency and bandwidth constraints significantly limit the throughput dependency on FMAX in multi-core processors, thus reducing the throughput mean degradation and standard deviation by 50%. Since single-threaded applications running on a multi-core processor can execute on the fastest core, mean FMAX and throughput gains of 4% are achieved from the nominal design target. |
Year | DOI | Venue |
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2007 | 10.1145/1283780.1283792 | Low Power Electronics and Design |
Keywords | Field | DocType |
throughput dependency,overall throughput,memory latency,single-core processor,throughput mean degradation,standard deviation,compact analytical throughput model,similar chip-level fmax distribution,throughput gain,within-die parameter variation,throughput distribution,multi-core processor,multi core,throughput,multi core processor,bandwidth,multi threading,critical path,variational analysis,multicore processing,chip,statistical analysis,multicore processors | Multithreading,Computer science,Parallel computing,Electronic engineering,Real-time computing,Bandwidth (signal processing),Critical path method,Throughput,Multi-core processor,Standard deviation,Clock rate,CAS latency | Conference |
ISBN | Citations | PageRank |
978-1-59593-709-4 | 44 | 3.31 |
References | Authors | |
8 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Keith A. Bowman | 1 | 977 | 138.36 |
Alaa R. Alameldeen | 2 | 1672 | 80.06 |
Srikanth T. Srinivasan | 3 | 422 | 22.05 |
Chris Wilkerson | 4 | 1575 | 61.73 |