Computer scientists at the University of California Riverside have unveiled a new system called ‘simultaneous and heterogeneous multithreading’ (SHMT). This algorithm increases computer processing speeds with current hardware by utilizing graphics processing units (GPUs), hardware accelerators for artificial intelligence (AI), and digital signal processing (DSP) units to process information all at the same time. It seems that AI can perform surprisingly efficient multithreading processing oversight. This type of algorithm could be generalized and coded into compliant computer firmware in quick order. Researchers report that a prototype SHMT system achieved a 1.96 times speed increase and a 51% reduction in energy use, which is a remarkable speed boost and energy savings advancement. The research indicates SHMT could greatly reduce the need for scarce freshwater used to keep servers cool.
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