In this video from LUG 2014, Andreas Dilger from Intel presents: Lustre Future Features.
Summary
See more talks at the LUG 2014 Video Gallery.
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.
Our friends over at Graphcore, the U.K.-based startup that launched the Intelligence Processing Unit (IPU) for AI acceleration in 2018, has released a new whitepaper introducing the IPU-Machine. This second-generation platform has greater processing power, more memory and built-in scalability for handling extremely large parallel processing workloads. This paper will explores the new platform and assess its strengths and weaknesses compared to the growing cadre of potential competitors.
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