In the course of tracking commercial and research supercomputers here at The Next Platform, it has become apparent that this is the year for massive refreshes and updates to existing weather prediction systems. …
Open source hardware and microprocessor projects are certainly nothing new, and while there has been great momentum on the CPU front, there have not been efforts to release an open source GPU into the wild. …
While many recognize Yann LeCun as the inventor of convolutional neural networks, the momentum of which has ignited artificial intelligence at companies like Google, Facebook, and beyond, LeCun has not been strictly rooted in algorithms. …
Lining up the architectures of future supercomputers is interesting because it gives us a glimpse of what may be in the corporate datacenter many more years out. …
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. …
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. …
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. …
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