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Collective Mind (CM) is a small, modular, cross-platform and decentralized workflow automation framework with a human-friendly interface and reusable automation recipes to make it easier to build, run, benchmark and optimize AI, ML and other applications and systems across diverse and continuously changing models, data, software and hardware (by mlcommons)
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Hi! Just sharing this tutorial from the Student Cluster Competition at SuperComputing'22 to learn how to modularize and run ML Systems benchmarks. 10 international teams had about 30 minutes to run it and most of them succeeded while sharing their results at the live dashboard . It is a part of the ongoing effort to modularize ML Systems and automate their benchmarking and optimization. Feedback is very welcome!
Related posts
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Sharing a tutorial to modularize ML Systems
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Asking for a favor to test modular ML benchmark for Student Cluster Competition
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MLCommons is creating a new working group to modularize ML Systems
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[N] Open working group to modularize ML Systems
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[N] Releasing the MLPerf automation framework to plug in real-world ML models, data sets and tools