It has been almost two months since Intel announced its blockbuster $16.7 billion deal to acquire FPGA maker Altera, which will allow the world’s largest chip maker to move from fixed function into programmable devices and potentially shake up the entire spectrum of computing, from handhelds all the way to datacenters. …
When it comes to high performance computing, IBM is in a phase change that will take it several years to complete with its key OpenPower infrastructure partners, Nvidia and Mellanox Technologies. …
The public cloud is precisely as conservative and innovative as the enterprise customers that make use of it. …
In-memory databases are all the rage for very fast query processing, but you have to have the right balance of compute and memory for queries against in-memory databases to really scream. …
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. …
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. …
The broader adoption of GPU acceleration for workloads in the traditional high performance computing segment and expansion in new areas such as deep learning are driving revenues and profits at graphics chip maker Nvidia. …
When one looks at major milestones in supercomputer history, one of the relatively recently markers rests with IBM, which began work its work to create a massively parallel system for protein folding research. …
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. …
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