Kernel-ridge models on molecular fingerprints predict quantum-chemistry job runtimes well enough to improve simulated HPC scheduling and reduce CPU overhead by 10 to 90 percent.
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Machine learning the computational cost of quantum chemistry
Kernel-ridge models on molecular fingerprints predict quantum-chemistry job runtimes well enough to improve simulated HPC scheduling and reduce CPU overhead by 10 to 90 percent.