AI
Deep Learning Chip Upstart Takes GPUs to Task
Update – 8/9/16 1:00 p.m. Pacific – Not even 24 hours after this story was posted Intel bought Nervana Systems. …
AI
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In Situ Analysis to Push Supercomputing Efficiency
As supercomputers expand in terms of processing, storage, and network capabilities, the size and scope of simulations is also expanding outward. …
AI
Emerging “Universal” FPGA, GPU Platform for Deep Learning
In the last couple of years, we have written and heard about the usefulness of GPUs for deep learning training as well as, to a lesser extent, custom ASICs and FPGAs. …
AI
HPC is Great for AI, But What Does Supercomputing Stand to Gain?
As we have written about extensively here at The Next Platform, there is no shortage of use cases in deep learning and machine learning where HPC hardware and software approaches have bled over to power next generation applications in image, speech, video, and other classification and learning tasks. …
AI
Knights Landing Proves Solid Ground for Intel’s Stake in Deep Learning
Intel has finally opened the first public discussions of its investment in the future of machine learning and deep learning and while some might argue it is a bit late in the game with its rivals dominating the training market for such workloads, the company had to wait for the official rollout of Knights Landing and extensions to the scalable system framework to make it official—and meaty enough to capture real share from the few players doing deep learning at scale. …
AI
What Will GPU Accelerated AI Lend to Traditional Supercomputing?
This week at the International Supercomputing Conference (ISC ’16) we are expecting a wave of vendors and high performance computing pros to blur the borders between traditional supercomputing and what is around the corner on the application front—artificial intelligence and machine learning. …
AI
What’s Fueling the Move to a Converged Data Platform?
The datacenter is going through tremendous change, and many long-held assumptions are now being called into question. …
AI
Cray Sharpens Approach to Large-Scale Graph Analytics
For those in enterprise circles who still conjure black and white images of hulking supercomputers when they hear the name “Cray,” it is worth noting that the long-standing company has done a rather successful job of shifting a critical side of its business to graph analytics and large-scale data processing. …
AI
Lustre to DAOS: Machine Learning on Intel’s Platform
Training a machine learning algorithm to accurately solve complex problems requires large amounts of data. …
AI
Climate Research Pulls Deep Learning Onto Traditional Supercomputers
Over the last year, stories pointing to a bright future for deep neural networks and deep learning in general have proliferated. …