In this guest article, our friends at Intel discuss how accelerated computing has diversified over the past several years given advances in CPU, GPU, FPGA, and AI technologies. This innovation drives the need for an open and cross-platform language that allows developers to realize the potential of new hardware, minimizes development cost and complexity, and maximizes reuse of their software investments.
This white paper from Bright Computing addresses the necessary steps to give administrators, managers, and users the information they need to use HPC system resources effectively, to maximize system productivity, to enable effective resource sharing, to identify waste and to provide charge-back capability.
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