As we have heard time and again, one of the greatest challenges for future exascale class computing—the one that falls right under power consumption–is how codes are ever going to evolve to take ...
SANTA CRUZ, Calif. — Touting a new approach to parallelizing, high-level synthesis, the Center for Embedded Computer Systems at the University of California at Irvine has released its Spark synthesis ...
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