
Convergence Coming for Supercomputing, Machine Learning
When it comes to traditional supercomputing, the tools, frameworks, and software stacks tend to be codified, especially within the various domains that use high performance computing. …
When it comes to traditional supercomputing, the tools, frameworks, and software stacks tend to be codified, especially within the various domains that use high performance computing. …
The future of hyperscale datacenter workloads is becoming clearer and as that picture emerges, if one thing is clear, it is that the content is heavily driven by a wealth of non-text content—much of it streamed in for processing and analysis from an ever-growing number of users of gaming, social network, and other web-based services. …
The progression in performance per watt for Nvidia’s Tesla line of GPU coprocessors is continuing apace now that the graphics chip maker is delivering two shiny new devices based on its “Maxwell” generation of chips. …
For more than a decade, graphics processor maker Nvidia has been championing the adoption of GPU accelerators as heavy-lifting compute engines for an increasing array of applications that can take advantage of the parallel processing inherent in a GPU. …
Back in 2000, Ian Buck and a small computer graphics team at Stanford University were watching the steady evolution of computer graphics processors for gaming and thinking about how such devices could be extended to fit a wider class of applications. …
For certain kinds of modeling, simulation, and machine learning workloads, the advent of GPU coprocessors has been a watershed event. …
In the course of tracking commercial and research supercomputers here at The Next Platform, it has become apparent that this is the year for massive refreshes and updates to existing weather prediction systems. …
Open source hardware and microprocessor projects are certainly nothing new, and while there has been great momentum on the CPU front, there have not been efforts to release an open source GPU into the wild. …
While many recognize Yann LeCun as the inventor of convolutional neural networks, the momentum of which has ignited artificial intelligence at companies like Google, Facebook, and beyond, LeCun has not been strictly rooted in algorithms. …
Lining up the architectures of future supercomputers is interesting because it gives us a glimpse of what may be in the corporate datacenter many more years out. …
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