Fairness Metrics for Multi-Threaded Processors

Research output: Contribution to journalArticlepeer-review

42 Citations (Scopus)
93 Downloads (Pure)


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.
Original languageEnglish
Article number5710651
Pages (from-to)4-7
Number of pages4
JournalIEEE Computer Architecture Letters
Issue number1
Publication statusPublished - Jan 2011

ASJC Scopus subject areas

  • Hardware and Architecture


Dive into the research topics of 'Fairness Metrics for Multi-Threaded Processors'. Together they form a unique fingerprint.

Cite this