During his sabbatical at Twitter, GPU researcher and graph analytics whiz, UC Davis professor John Owens, made a list of the elements the social network might want to consider as it built out its recommendation and other real-time services. …
For some users in high performance computing and a growing range of deep learning and data-intensive application segments, the shift toward mixed (heterogeneous) architectures is becoming more common. …
Back in the late 1980s, while working in the Adaptive Systems Research Department at AT&T Bell Labs, deep leaning pioneer, Yann LeCun, was just starting down the path of implementing brain-inspired machine learning concepts for image recognition and processing—an effort that would eventually lead to some of the first realizations of these technologies in voice recognition for calling systems and handwriting analysis for banks. …
In the wake of today’s announcement of the codes selected to be tuned for the 2018 Summit supercomputer at Oak Ridge National Lab, questions around how application teams are thinking about the massive amount of memory across new tiers, the swapping out of PCIe for a new interconnect, and the pervasive GPUs were first to mind. …
For a company that was formed well before electricity, consumer products company, Procter and Gamble, has continued to modernize. …
When it comes to chip companies that have claimed a stake in the future of high performance computing, there used to be more competition. …
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