Computing power and big data are fundamental to the bioinformatic research being carried out by the Leadership Computing Facility at the Oak Ridge National Laboratory (ORNL) in Tennessee. …
When you look at IBM, it is as if you are seeing many different instantiations of Big Blue across time playing out in the present, side by side. …
Now that deep learning at traditional supercomputing centers is becoming a more pervasive combination, the infrastructure challenges of making both AI and simulations run efficiently on the same hardware and software stacks are emerging. …
We all expected that the Summit supercomputer at Oak Ridge National Lab would be a major part of pushing deep learning forward in HPC given its balanced GPU and IBM Power9 profile (not to mention the on-site expertise to get those graphics engines doing cutting-edge work outside of traditional simulations). …
The irony, of course, is that there is never a summit when it comes to supercomputing. …
Big iron aficionados packed the room when ORNL’s Jack Wells gave the latest update on the upcoming 207 petaflops Summit supercomputer at the GPU Technology Conference (GTC18) this week. …
On today’s episode of “The Interview” with The Next Platform, we take a look at the evolution of the NAMD molecular dynamics and how the introduction of GPU computing upended performance expectations and set the stage for new metrics now that the Volta GPU architecture will be available on large supercomputers like the Summit machine coming to Oak Ridge National Lab. …
There are plenty of things that the members of the high performance community do not agree on, there is a growing consensus that machine learning applications will at least in some way be part of the workflow at HPC centers that do traditional simulation and modeling. …
The US Department of Energy fiscal year 2018 budget request is in. …
GPU computing has deep roots in supercomputing, but Nvidia is using that springboard to dive head first into the future of deep learning. …
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