ONE SIZE DOESN'T FIT ALL: Researchers are increasingly turning to computers powered by a combination of graphics processing units (GPUs) and central processing units (CPUs), but they're looking for a better way to write software for these systems. © FOTOIE, VIA ISTOCKPHOTO.COMFrom Scientific American:
Researchers turn to the Open Computing Language as a way to get graphics and general-purpose computer processors on the same page for more powerful number crunching
Supercomputers have long been an indispensable, albeit expensive, tool for researchers who need to make sense of vast amounts of data. One way that researchers have begun to make high-speed computing more powerful and also more affordable is to build systems that split up workloads among fast, highly parallel graphics processing units (GPUs) and general-purpose central processing units (CPUs).
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