Essentially, the devices plug "directly into the processor socket of dual- or quad-socket servers" in order to provide "high performance application acceleration ranging from 10x to 100x compared to processors alone, while simultaneously reducing overall system power consumption." The modules act as targeted CPUs, effectively computing very specific tasks in a much more efficient fashion than a general microprocessor can alone, which could boost the speed of scientific, financial, and life science applications that rely on very particular calculations.More info at Engadget.
Of course, mainstream adoption still has quite a ways to go, but the quicker we get dedicated physics and AI coprocessors to go along with these snazzy new GPUs, the happier (and poorer) we'll be.
Altera and Xilinx shows off FPGA coprocessors
Posted on Tuesday, Apr 24 2007 @ 00:45 CEST by Thomas De Maesschalck