A scale-invariant revision to the fast-mode scaling formula in Ozaki scheme II ensures the CRT uniqueness condition holds for all input scalings while preserving the speed of the original fast mode.
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CHAMB-GA is a containerized microservice framework that scales genetic algorithms from laptops to 3,500+ cores on Kubernetes and SLURM with low overhead.
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Improved Scaling for Fast Mode of Ozaki Scheme II
A scale-invariant revision to the fast-mode scaling formula in Ozaki scheme II ensures the CRT uniqueness condition holds for all input scalings while preserving the speed of the original fast mode.
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CHAMB-GA: A Containerized HPC Scalable Microservice-Based Framework for Genetic Algorithms
CHAMB-GA is a containerized microservice framework that scales genetic algorithms from laptops to 3,500+ cores on Kubernetes and SLURM with low overhead.