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The team behind the research, from the University of California, Riverside , says that the work has huge potential, not just for boosting hardware performance but also increasing efficiency and significantly reducing
Relying on specialized processors certainly has its benefits, because they can be engineered for specific tasks. Executing the code to run a spreadsheet program isn't done in quite the same way as executing the code for a The test setup included an ARM Cortex-A57 CPU, an Nvidia GPU, and a Google Edge TPU. Using simultaneous and heterogeneous multithreading, execution of sample code was 1.95 times faster, while energy use was reduced by 51 percent.
It's still very early days for this technology: the proposed system is more of a test that the idea has potential, rather than something that can be put into place right away on our smartphones and smartwatches.
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