Author Archives: Nicole Hemsoth
Author Archives: Nicole Hemsoth
Recognizing that the most important application of machine learning in HPC is to replace production numerical simulation models with machine learning approximations, one European organization is pushing these frontiers with innovative AI HPC research. …
Transforming HPC Research with AI Approaches was written by Nicole Hemsoth at .
There are only so many quantum hardware architectures available but as that number grows, the need to understand which processor is best for specific quantum algorithms will be more pressing. …
Why Large-Scale Quantum Simulators Matter was written by Nicole Hemsoth at .
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. …
Getting HPC Simulations to Speak Deep Learning was written by Nicole Hemsoth at .
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 File Systems Fail for Deep Learning at Scale was written by Nicole Hemsoth at .
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. …
Accelerating the Shift to Software Defined Visualization was written by Nicole Hemsoth at .
Editors Note: We are arranging interviews with leads on both the hardware and software side of this story and will update it with more information throughout the day. …
Deep Learning Just Dipped into Exascale Territory was written by Nicole Hemsoth at .
As we argued a few weeks ago, the cloud is where quantum competition gets real. …
Full Qubit, Tooling Access a Game-Changer for Quantum Development was written by Nicole Hemsoth at .
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. …
Will a Billion Dollars Buy Europe Exascale Dominance? was written by Nicole Hemsoth at .
A few years ago the market was rife with deep learning chip startups aiming at AI training. …
Boosting the Clock for High Performance FPGA Inference was written by Nicole Hemsoth at .
We did not plan it, but today has become make-your-eyes-bleed-with-chip architecture-patent-applications day. …
A Rare Peek into IBM’s True North Neuromorphic Chip was written by Nicole Hemsoth at .
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. …
Deep Learning Infiltrating HPC Physics Domains was written by Nicole Hemsoth at .
Intel is gearing up the FPGA user base it inherited from Altera for the release of Stratix 10 hardware and companion application acceleration stack. …
Intel Kicks FPGA Performance Up a Notch With Stratix 10 PAC was written by Nicole Hemsoth at .
The refrigerators are on order and the lists of scientific applications are formed for another new quantum architecture to enter the quantum hardware space. …
Berkeley Lab Building Own Open Architecture Quantum Chips was written by Nicole Hemsoth at .
It is no wonder that the quantum computing investments in the U.S., China, and elsewhere are ramping. …
Quantum Computers are the Future Nukes of the IT World was written by Nicole Hemsoth at .
This week we have heard much about the inference side of the deep learning workload, with a range of startups emerging at the AI Hardware Summit. …
Google Rounds Out Insight into TPU Architecture and Inference was written by Nicole Hemsoth at .
On the hardware side, the next frontier for deep learning innovation will be in getting the performance, efficiency, and accuracy needed for inference at scale. …
Self-Creating Neural Networks That Explain Themselves was written by Nicole Hemsoth at .
Gentlemen (and women), start your inference engines.
One of the world’s largest buyers of systems is entering evaluation mode for deep learning accelerators to speed services based on trained models. …
Facebook Sounds Opening Bell for AI Inference Hardware Makers was written by Nicole Hemsoth at .
At the dawn of the mainframe era, Thomas Watson is said to have remarked that perhaps only five such systems would ever be sold in the world and that perhaps, just one machine would be needed to solve the most intractable problems. …
The Cloud is Where Quantum Competition Gets Real was written by Nicole Hemsoth at .
Over the last several years we have seen many new hardware architectures emerge for deep learning training but this year, inference will have its turn in the spotlight. …
First Wave of Spiking Neural Network Hardware Hits was written by Nicole Hemsoth at .
As France, Japan, China, and the United States vie to build the world’s first exascale computer, application and technology developers and researchers in each country are up against major hurdles. …
Europe’s Advantage in the Race to Exascale was written by Nicole Hemsoth at .