Algorithm breaks the exabyte barrier

Illustration of distributed HPC hardware and different communication channels. Credit: The Journal of Supercomputing (2023). DOI: 10.1007/s11227-023-05587-4

A machine-learning algorithm demonstrated the capability to process data that exceeds a computer’s available memory by identifying a massive data set’s key features and dividing them into manageable batches that don’t choke computer hardware. Developed at Los Alamos National Laboratory, the algorithm set a world record for factorizing…

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News Source: techxplore.com


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