
Supercomputer Mixes Streams with CPU, GPU, and FPGA
If this is truly the age of heterogeneous supercomputers, then the system installed earlier this month at the University of Tsukuba is its poster child. …
If this is truly the age of heterogeneous supercomputers, then the system installed earlier this month at the University of Tsukuba is its poster child. …
When it comes to machine learning, a lot of the attention in the past six years has focused on the training of neural networks and how the GPU accelerator radically improved the accuracy of networks, thanks to its large memory bandwidth and parallel compute capacity relative to CPUs. …
This year at the GPU Technology Conference (GTC18) our roaming camera crew was lucky enough to catch Dolly Wu, vice president and general manager of Inspur’s Datacenter/Cloud division. …
Although much of the attention around deep learning for voice has focused on speech recognition, developments in artificial speech synthesis (text to speech) based on neural network approaches have been just as swift. …
It must be tough for the hyperscalers that are expanding into public cloud and the public cloud builders that also use their datacenters to run their own businesses to decide whether to hoard all of the new technologies that they can get their hands on for their own benefit, or to make money selling that capacity to others. …
One of the reasons we have written so much about Chinese search and social web giant, Baidu, in the last few years is because they have openly described both the hardware and software steps to making deep learning efficient and high performance at scale. …
Announcements of new iron are exciting, but it doesn’t get real until customers beyond the handful of elite early adopters can get their hands on the gear. …
In the U.S. it is easy to focus on our native hyperscale companies (Google, Amazon, Facebook, etc.) …
We are still chewing through all of the announcements and talk at the GPU Technology Conference that Nvidia hosted in its San Jose stomping grounds last week, and as such we are thinking about the much bigger role that graphics processors are playing in datacenter compute – a realm that has seen five decades of dominance by central processors of one form or another. …
While it is always best to have the right tool for the job, it is better still if a tool can be used by multiple jobs and therefore have its utilization be higher than it might otherwise be. …
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