FPGAs Focal Point for Efficient Neural Network Inference
Over the last couple of years, we have focused extensively on the hardware required for training deep neural networks and other machine learning algorithms. …
Over the last couple of years, we have focused extensively on the hardware required for training deep neural networks and other machine learning algorithms. …
It is the first month of a new year, and this is the time that IBM traditionally does reorganizations of its business lines and plays musical chairs with its executives to reconfigure itself for the coming year. …
At the end of 2016, Amazon Web Services announced it would be making high-end Xilinx FPGAs available via a cloud delivery model, beginning first in a developer preview mode before branching with higher-level tools to help potential new users onboard and experiment with FPGA acceleration as the year rolls on. …
There is little doubt that this is a new era for FPGAs. …
The old Chinese saying, “May you live in interesting times,” is supposed to be a curse, uttered perhaps with a wry smile and a glint in the eye. …
In the ideal hyperscaler and cloud world, there would be one processor type with one server configuration and it would run any workload that could be thrown at it. …
Molecular dynamics codes have a wide range of uses across scientific research and represent a target base for a variety of accelerators and approaches, from GPUs to custom ASICs. …
Hewlett Packard Enterprise is not just a manufacturer that takes components from Intel and assembles them into systems. …
It has just been announced that there has been a shift in thinking among the exascale computing leads in the U.S. …
If you happen to believe that spending on core IT infrastructure is a leading indicator of the robustness of national economies and the global one that is stitched, somewhat piecemeal like a patchwork quilt. …
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