In 2021, the Argonne Leadership Computing Facility (ALCF) is planning to deploy Aurora A21, a new Intel-Cray system, slated to be the first exascale supercomputer in the United States. …
Argonne Leverages HPC And Machine Learning To Accelerate Science was written by Timothy Prickett Morgan at .
In the wonderful world of software containers, it can feel like the ground is constantly shifting beneath your feet as new projects spring up to address problems that you thought had been solved long ago. …
Istio Aims To Be The Mesh Plumbing For Containerized Microservices was written by Daniel Robinson at .
Sometimes, a workload needs more memory, more compute, or more I/O than is available in the two socket server that has been the standard pretty much since the dot-com boom two decades ago. …
IBM Finishes Power9 Systems Rollout With Big Iron was written by Timothy Prickett Morgan at .
A research team from Nvidia has provided interesting insight about using mixed precision on deep learning training across very large training sets and how performance and scalability are affected by working with a batch size of 32,000 using recurrent neural networks. …
Nvidia DGX1-V Appliance Crushes NLP Training Baselines was written by Nicole Hemsoth at .
Intel continues to pull in massive amounts of money through its portfolio of datacenter wares and to dominate the market for processors in the glass house. …
Intel Looks Down The Server Chip Road To Ice Lake was written by Jeffrey Burt at .
Cloud giants Amazon, Alibaba, Baidu, Facebook, Google, and Microsoft are now designing their own AI accelerator chips. …
Designing Custom Chips In-House For Specific Tasks Is The New Normal was written by Paul Teich at .
This year at the International Supercomputing Conference we detailed some of the major quantum computing development efforts, including updates from the Microsoft team on the Q# language, and the academic Project Q environment. …
QISKit Developments Key to IBM Quantum Engagement was written by Nicole Hemsoth at .
Getting processing closer to data is going to be one of the major themes in compute in the next decade, and we know this because for the past decade this is precisely what the big hyperscalers and cloud builders have been doing. …
Living In The SmartNIC Future was written by Timothy Prickett Morgan at .
A working group formed on behalf of the Exascale Computing Project (ECP) in the U.S. …
The State of MPI for Future Exascale Systems was written by Nicole Hemsoth at .
The Texas Advanced Computer Center (TACC) will house the latest leadership-class supercomputer funded by the National Science Foundation, a project that stands as a tribute to the NSF’s continued efforts to push supercomputing projects and the latest indication of the ground the organization is losing to the Department of Energy (DOE) in this effort. …
TACC Tapped for NSF’s Next Supercomputer was written by Jeffrey Burt at .
General purpose computing systems have been seen as the best way of delivering on enterprise data processing needs for decades. …
Follow The Yellowbrick Road To An All-Flash Data Warehouse was written by Daniel Robinson at .
Compute drives supercomputing, and networking is the chassis and storage just comes along for the ride. …
Compute Is The Boon And The Bane Of Supercomputing was written by Timothy Prickett Morgan at .
At the height of the Hadoop era there were countless storage and analytics startups based on the Hadoop Distributed File System (HDFS), several of which were backed by venture capital firm Andreessen Horowitz, which was committed to the Hadoop and open source-driven big data startup cause when that was all the rage in 2010 until around 2014 or so. …
Pulling Storage Together at Extreme Scale was written by Nicole Hemsoth at .
Big things can often fit into small packages, especially if those packages are tightly bound. …
Bringing Back the Mighty Chiplet was written by Nicole Hemsoth at .
There has been much written about the potential for FPGAs to take a leadership role in accelerating deep learning but in practice, the hurdles of getting from concept to high performance hardware design are still taller than many AI shops are willing to scale, particularly when GPUs dominate in training and in a pinch, standard CPUs will do just fine for datacenter inference since they involve little developer overhead. …
Intel FPGA Architecture Focuses on Deep Learning Inference was written by Nicole Hemsoth at .
If the world doesn’t need another thing, one of those things that it doesn’t need is probably another switch operating system. …
Why The World Needs Another Network Operating System was written by Timothy Prickett Morgan at .
It has taken time and a lot of changes in the industry, but HPC in the cloud might actually be something that can work not just technically, but as a business model that is reasonable and sustainable. …
Rescaling to Meet the Needs of HPC Cloud was written by Timothy Prickett Morgan at .
Despite the increasing competitive pressures that Intel is feeling in the datacenter and very serious issues that the company is having ramping up its 10 nanometer manufacturing processes, the datacenter business at Intel were booming in the second quarter, helping to drive a record second quarter and what is looking like will be a record full year for the chip maker. …
Intel Makes Money Hand Over Fist In The Datacenter was written by Timothy Prickett Morgan at .
To a certain extent, the “Knights” family of parallel processors, sold under the brand name Xeon Phi, by Intel were exactly what they were supposed to be: A non-mainstream product that tried out a different architecture than its mainstream Xeon family of server processors and that was aimed at the high performance computing jet set that is, by definition, supposed to take risks on new architectures. …
The End Of Xeon Phi – It’s Xeon And Maybe GPUs From Here was written by Timothy Prickett Morgan at .
Enterprises that want to leverage the huge amounts of data they are generating to gain useful insights and make faster and better business decisions are going to have to use machine learning at scale for modeling and training. …
Bringing Machine Learning Within Reach Of Enterprises was written by Jeffrey Burt at .