Well before the Intel acquisition of Altera and the news about Microsoft’s use of the Catapult servers, which feature FPGAs to power their Bing search engine and other key applications, it has been clear that the FPGA future is just starting to unfold. …
Breaking into the datacenter with a new chip architecture is probably more difficult than getting by the security in a modern glass house and literally breaking into it, either physically or digitally over the wire. …
Whether in the brain or in code, neural networks are shaping up to be one of the most critical areas of research in both neuroscience and computer science. …
Just a few years ago, the promise of ultra-low power, high performance computing was tied to the rather futuristic-sounding vision of a “brain chip” or neuromorphic processor, which could mimic the brain’s structure and processing ability in silicon—quickly learning and chewing on data as fast as it could be generated. …
D.E. Shaw Research, the company founded by quantitative finance pioneer, professor, and entrepreneur, David E. …
The high end of the computing industry has always captivated us, and we still find the forces at work in the upper echelons of the datacenters of the world, and the hardware and software that is created to run the largest and most complex workloads found there, fascinating. …
FPGAs might be the next big thing for a growing host of workloads in high performance and enterprise computing, but for smaller companies, not to mention research institutions, the process of onboarding is not simple—or inexpensive. …
For someone like Steve Pawlowski, who spent well over thirty years at Intel working on a wide range of processors for an even more striking array of platforms, it seems only natural to take a cautious view of entirely new approaches to data processing that require a fundamental rethink of computing hardware and software. …
As the theme goes this year, what’s old is new again. …
Every supercomputing center in the world is wrestling with the issues of power, cooling, and compute density, but some have tighter constraints than others and need to have more energy efficient machines than they can get with standard clusters of rack servers. …
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