Compute
Great Lakes Super To Remove Islands Of Compute
It is hard to say for sure, but there is probably as much aggregate computing capacity in the academic supercomputing centers of the world as there are in the big national labs. …
HPC
AI
Someone Has To Pay To Push The Bleeding Edge Of Systems
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. …
HPC
Getting HPC Simulations to Speak Deep Learning
We have written much over the last few years about the convergence of deep learning and traditional supercomputing but as the two grow together, it is clear that the tools for one area don’t always mesh well with those of the other. …
HPC
Architecting Storage And Compute At Exascale
When IBM’s Summit supercomputer was officially unveiled in June, some hailed it as the first exascale system because of its peak performance in applications that made heavy use of GPU acceleration at low precision. …
AI
HPC File Systems Fail for Deep Learning at Scale
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. …
HPC
Accelerating the Shift to Software Defined Visualization
Advances in visualization are essential for managing—and maximizing value from—the rising flood of data, the growing sophistication of simulation codes, the convergence of machine learning (ML) and simulation workloads, and the development of extreme-scale computers. …
AI
Deep Learning Just Dipped into Exascale Territory
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). …
HPC
Will a Billion Dollars Buy Europe Exascale Dominance?
European supercomputing centers are known for deploying innovative architectures and working on cutting-edge applications, but the sheer number of these systems lags rather far behind the U.S. …
AI
Deep Learning Infiltrating HPC Physics Domains
While deep learning models might not be able to simulate large-scale physical phenomena in the same way purpose-built supercomputers and their application stacks do, there is more research emerging that shows how traditional HPC simulations can be augmented, if not replaced in some parts, by neural networks. …
Compute
Forging A Hybrid CPU-FPGA Supercomputer
It is hard to say for sure, but a very substantial part of the hard work in buying supercomputers and creating simulations and models that tell us about the real world around us gets done in thousands of academic research institutions worldwide. …