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Multi-Queues Can Be State-of-the-Art Priority Schedulers | Images

Authors: Anastasiia Postnikova; Nikita Koval; Giorgi Nadiradze; Dan Alistarh;

Multi-Queues Can Be State-of-the-Art Priority Schedulers | Images

Abstract

Images contain everything required for running experiments from "Multi-Queues Can Be State-of-the-Art Priority Schedulers" paper. The source code can be found here: https://github.com/npostnikova/mq-based-schedulers. Fast experiments (fast tag) contain pre-loaded heatmaps and perform all thread executions for the default and best (according to heatmaps) versions of worklists. Estimated time: 30-40 hours. Slow experiments (slow tag) perform heatmap and all thread executions. Estimated time: about 5-6 days. Image Setup Options 1. Pulling an image from docker hub: docker pull npostnikova/mq-based-schedulers:$tag 2. Downloading archive here: sudo docker load -i mq-based-schedulers_${tag}.tar.gz Running Container: sudo docker run --cap-add SYS_NICE -it npostnikova/mq-based-schedulers:$tag Running Experiments: nano $MQ_ROOT/set_envs.sh # Update configuration if needed! $MQ_ROOT/run_experiments.sh

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Keywords

data structures, multiqueue, priority scheduling, concurrency, relaxed data structures, parallel graph processing

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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).
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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.
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