Emergent Chip Vastly Accelerates Deep Neural Networks
Stanford University PhD candidate, Song Han, who works under advisor and networking pioneer, Dr. …
Stanford University PhD candidate, Song Han, who works under advisor and networking pioneer, Dr. …
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 Google, Baidu, and a handful of other hyperscale companies that have been working with deep neural networks and advanced applications for machine learning well ahead of the rest of the world, building clusters for both the training and inference portions of such workloads is kept, for the most part, a well-guarded secret. …
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. …
By definition, the national HPC labs are on the very bleeding edge of supercomputing technology, which is necessary given the scope and scale of the problems they are trying to solve through simulation and analysis and enabled by the largesse of their budgets. …
If not for the fact that there are several installed, functional quantum computers on the planet chewing away on tough problems—including the burdensome issue of their own operation—one might suspect that these systems were still more science fiction than reality. …
You have no doubt heard the one about making it up in volume, a jokey phrase that people use when a business has to crank out more and more widgets to stay in the same place. …
As the theme goes this year, what’s old is new again. …
Hewlett Packard Enterprise is hosting its first big shindig, the Discover Europe customer and partner conference, as a company separated from PCs and printers, and is trotting out a new line of systems, code named “Thunderbird” and sold under the brand HPE Synergy, that are follow-ons to its BladeSystem blade servers. …
Without any new plain vanilla processors from Intel, IBM, Fujitsu, AMD, or the relative handful of ARM server chip makers, and with Nvidia launching its Tesla M4 and M40 accelerators aimed at hyperscalers and those looking for cheap single-precision flops ahead of SC15, the “Knights Landing” Xeon Phi chip was pretty much the star of the high performance conference as far as compute is concerned. …
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