AMD Posts Transitional First Quarter Ahead of Rome Launch

On the eve of its 50th anniversary, Advanced Micro Devices (AMD) reported sales of $1.27 billion for Q1 2019, down 10 percent quarter-over-quarter and 23 percent year-over-year. Despite the drop, revenue came in above Wall Streets expectations, and AMD is continuing its push to win back datacenter market share ceded to Intel over the last []

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TAIPEI, Taiwan,May 2, 2019 Computer and server manufacturer Inventec Enterprise Business Group (Inventec EBG) today announced the release of its P47G4 server solution, optimized for AMD deep learning technologies. The P47G4 server is one of four optimized server solutions and featuresa 2U, single-socketsystem equipped withAMD EPYC processors and up to four AMD Radeon Instinct []

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One reason China has a good chance of hitting its ambitious goal to reach exascale computing in 2020 is that the government is funding three separate architectural paths to attain that milestone.

China Fleshes Out Exascale Design for Tianhe-3 Supercomputer was written by Michael Feldman at .

Over at the IBM Blog, Rahil Garnaviwrites that IBM researchers have developed new techniques in deep learning that could help unlock earlier glaucoma detection."Earlier detection of glaucoma is critical to slowing its progression in individuals and its rise across our global population. Using deep learning to uncover valuable information in non-invasive, standard retina imaging could lay the groundwork for new and much more rapid glaucoma testing."

The post IBM Research Applies Deep Learning for Detecting Glaucoma appeared first on insideHPC.

Researchers at the University of Pittsburgh are using XSEDE supercomputing resources to develop new materials that can capture carbon dioxide and turn it into a commercially useful substances. With global climate change resulting from increasing levels of carbon dioxide in the Earth's atmosphere, the work could lead to a lasting impact on our environment. "The basic idea here is that we are looking to improve the overall energetics of CO2 capture and conversion to some useful material, as opposed to putting it in the ground and just storing it someplace," saidKarl Johnson from the University of Pittsburgh. "But capture and conversion are typically different processes."

The post Pitt Researchers using HPC to turn CO2 into Useful Products appeared first on insideHPC.

Field Programmable Gate Arrays (FPGAs) have notched some noticeable wins as a platform for machine learning, Microsofts embrace of the technology in Azure being the most notable example.

FPGAs Open Gates in Machine Learning was written by Michael Feldman at .

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