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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
data structures, multiqueue, priority scheduling, concurrency, relaxed data structures, parallel graph processing
data structures, multiqueue, priority scheduling, concurrency, relaxed data structures, parallel graph processing
| 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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