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https://doi.org/10.1109/hpcc.2...
Article . 2012 . Peer-reviewed
License: STM Policy #29
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Performance of a Hardware Scheduler for Many-core Architecture

Authors: Itai Avron; Ran Ginosar;

Performance of a Hardware Scheduler for Many-core Architecture

Abstract

A hardware scheduler for many-core architectures enables fast scheduling and allocation of fine granularity tasks to all cores. We present performance evaluation of a hardware scheduler for HyperCore, a many-core architecture. The evaluation is based on an architectural simulator, using multiple benchmarks representing a wide variety of inherent parallelism. Several architectural improvements are proposed, and various configurations of the scheduler are simulated. The results are analyzed, and are used to highlight the potential and the possible pitfalls of the architecture. It is shown that a scheduler with a capacity to schedule and terminate 10 instances per cycle, along with a task queue of as little as two slots near each core, is sufficient to utilize 256 cores. Other scheduling configurations are also analyzed.

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average