Nvidia Accelerated Computing
Nine of the world’s fastest GPU supercomputers
Big and beefy heterogeneous HPC systems Read more
Exploiting the OpenPOWER Platform for Big Data Analytics and Cognitive Computing
Rajesh Bordawekar (IBM T. …
Big and beefy heterogeneous HPC systems Read more
Rajesh Bordawekar (IBM T. …
There was something ironic about meeting Mike Curtis, the vice president of engineering at Airbnb, in a hotel in lower Manhattan. …
Explaining the process of how any of us might have arrived to a particular conclusion or decision by verbally detailing the variables, weights, and conditions that our brains navigate through to arrive at an answer can be complex enough. …
The “Knights Landing” Xeon Phi processor from Intel will be shipping by the end of the year and ramping in volume through 2016, and it is set to shake up the systems market in a number of significant ways. …
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. …
When it comes to systems, the first thing that most people think of is compute. …
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. …
Although there are many HPC startups that are focused on software, services, and consulting, to keep the list focused this year, we singled out a few key small companies that are taking their chances to bring new processors and server gear to the supercomputing table. …
Intel is the undisputed champion when it comes to computing in the datacenter, and it is looking to vanquish IBM’s Power processors from enterprise systems and supercomputer clusters and to keep the handful of ARM server chip upstarts at bay as they try to get in the datacenter door, too. …
There is a disconnect between the database engines that underpin both relational databases and the SQL front ends that have been grafted onto Hadoop analytics tools and the underlying hardware on which these databases run. …
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