HPC
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Code
Jupyter Expands Orbit in Supercomputing
Jupyter may have had its beginnings in enterprise data problems but some in the high performance computing community has been adopting it as the prime platform for both data science and AI at massive scale. …
HPC
With “Crossroads” Supercomputer, HPE Notches Another DOE Win
When you come to the crossroads and make a big decision about selling your soul to the devil to get what you want, it is supposed to be a dramatic event, the stuff that legends are made of. …
Code
Python Delivers Big On Complex Unlabeled Data
A collaboration of researchers from the University of California Davis, the National Energy Research Scientific Computing Center, and Intel are working together on the DisCo project to extract insight from complex unlabeled data. …
HPC
Using Bayesian Inference To Reverse Engineer Decades Of HPC
A collaboration including the University of Oxford, University of British Columbia, Intel, New York University, CERN, and the National Energy Research Scientific Computing Center is working to make it practical to incorporate of Bayesian inference into scientific simulators. …
HPC
Exascale System At Oak Ridge Will Blaze New Storage Path
When Oak Ridge National Laboratory installs its 1.5 exaflops Frontier supercomputer in a couple of years, it’s likely to be the most powerful system in the US, if not the world. …
HPC
DOE on Collision Course with End of Moore’s Law
As the largest buyer of supercomputers of any government agency in the world, the US Department of Energy (DOE) has relied on the relentless improvement of semiconductors to pursue the science it needs to advance the nation’s energy goals. …
AI
Running TensorFlow at Petascale and Beyond
TensorFlow, probably the most popular of the dozen or so deep learning frameworks, is typically used to develop neural networks on small or medium-sized clusters, and sometimes on just a single GPU-accelerated node. …
Compute
Berkeley Lab First In Line for Cray “Shasta” Supercomputers
For the past five years, supercomputer maker Cray has been diligently at work not only creating a new system architecture that allows for a mix of different interconnects and compute for its future “Shasta” systems, but has also brought long-time Cray chief technology officer, Steve Scott, back into the company after two stints spent at Nvidia and Google to create a new interconnect, called “Slingshot,” that is the beating heart of the Shasta system and that signals a return of the Cray that we know and love. …
AI
Where The FPGA Hits The Server Road For Inference Acceleration
There are an increasing number of ways to do machine learning inference in the datacenter, but one of the increasingly popular means of running inference workloads is the combination of traditional CPUs acting as a host for FPGAs that run the bulk of the inferring. …