Fairness Metrics for Multi-Threaded Processors

Multi-threaded processors execute multiple threads concurrently in order to increase overall throughput. It is well documented that multi-threading affects per-thread performance but, more importantly, some threads are affected more than others. This is especially troublesome for multi-programmed wo...

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Vydané v:IEEE computer architecture letters Ročník 10; číslo 1; s. 4 - 7
Hlavní autori: Vandierendonck, H, Seznec, A
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York IEEE 01.01.2011
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Architecture
Correlation
Harmonic analysis
Instruction sets
Measurement
Parallel Architectures
Performance of Systems
Processors
Strikes
Studies
System-on-a-chip
Throughput
Tradeoffs
Workload
ISSN:1556-6056, 1556-6064
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Shrnutí:Multi-threaded processors execute multiple threads concurrently in order to increase overall throughput. It is well documented that multi-threading affects per-thread performance but, more importantly, some threads are affected more than others. This is especially troublesome for multi-programmed workloads. Fairness metrics measure whether all threads are affected equally. However defining equal treatment is not straightforward. Several fairness metrics for multi-threaded processors have been utilized in the literature, although there does not seem to be a consensus on what metric does the best job of measuring fairness. This paper reviews the prevalent fairness metrics and analyzes their main properties. Each metric strikes a different trade-off between fairness in the strict sense and throughput. We categorize the metrics with respect to this property. Based on experimental data for SMT processors, we suggest using the minimum fairness metric in order to balance fairness and throughput.
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ISSN:1556-6056
1556-6064
DOI:10.1109/L-CA.2011.1