In this video, Sarah Tariq from Nvidia presents: Lessons learned in improving scaling of applications on large GPU clusters. Recorded at the HPC Advisory Council Stanford Conference 2013. Download the slides (PDF).
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 ebook from our friends over at Rescale, focuses on why the historical methodology for determining cost, price per core hour is at best incapable of providing effective cost optimization for HPC workloads. At worst, it could increase your overall cost of ownership and slow innovation and productivity. Assessing the cost of your HPC practice […]
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