Collective Knowledge repository with reproducible experimental results from collaborative program autotuning on Raspberry Pi (program reactions to most efficient compiler optimizations)
收藏DataCite Commons2020-08-30 更新2024-07-27 收录
下载链接：
https://figshare.com/articles/Collective_Knowledge_repository_with_reproducible_experimental_results_from_collaborative_program_autotuning_on_Raspberry_Pi_program_reactions_to_most_efficient_compiler_optimizations_/5789007/1
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资源简介：
Optimization results to demonstrate compiler autotuning, crowd-tuning and machine learning on RPi3 via customizable Collective Knowledge workflow framework with a portable package manager.<br><br>These results in the Collective Knowledge format help prototype a common and reproducible optimization methodology to support Artifact evaluation and Pareto-efficient co-design competitions of the whole software and hardware stack for emerging workloads such as deep learning in terms of speed, accuracy, energy and costs:<br>* http://cKnowledge.org/request<br>* http://cTuning.org/ae<br><br>
提供机构：
figshare
创建时间：
2018-01-16
