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DOE to Fund HPC for Manufacturing

Today, DOE announced nearly $3.9 million for 13 projects designed to stimulate the use of high performance supercomputing in U.S. manufacturing. The Office of Energy Efficiency and Renewable Energy (EERE) Advanced Manufacturing Office’s High Performance Computing for Manufacturing (HPC4Mfg) program enables innovation in U.S. manufacturing through the adoption of high performance computing to advance applied science and technology relevant to manufacturing. HPC4Mfg aims to increase the energy efficiency of manufacturing processes, advance energy technology, and reduce energy’s impact on the environment through innovation.

Radio Free HPC Reviews the ASC17 Student Cluster Competition

In this podcast, the Radio Free HPC team reviews the results from the ASC17 Student Cluster Competition finals in Wuxi, China. “As the world’s largest supercomputing competition, ASC17 received applications from 230 universities around the world, 20 of which got through to the final round held this week at the National Supercomputing Center in Wuxi after the qualifying rounds. During the final round, the university student teams were required to independently design a supercomputing system under the precondition of a limited 3000W power consumption.”

Leaping Forward in Energy Efficiency with the DOME 64-bit μDataCenter

In this slidecast, Ronald P. Luijten from IBM Research in Zurich presents: DOME 64-bit μDataCenter. “I like to call it a data­cen­ter in a shoe­box. With the com­bi­na­tion of power and ener­gy ef­fi­cien­cy, we be­lieve the mi­cro­serv­er will be of in­te­rest be­yond the DOME pro­ject, par­tic­u­lar­ly for cloud data centers and Big Data ana­ly­tics ap­pli­ca­tions.”

Video: HPC at NIBR

“Focused on High Performance and Scientific Computing at Novartis Institutes for Biomedical Research (NIBR), in Basel Switzerland, Nick Holway and his team provide HPC resources and services, including programming and consultancy for the innovative research organization. Supporting more than 6,000 scientists, physicians and business professionals from around the world focused on developing medicines and devices that can produce positive real-world outcomes for patients and healthcare providers, Nick also contributes expertise in bioinformatics, image processing and data science in support of the researchers and their works.”

Video: IBM Datacentric Servers & OpenPOWER

“Big data analytics, machine learning and deep learning are among the most rapidly growing workloads in the data center. These workloads have the compute performance requirements of traditional technical computing or high performance computing, coupled with a much larger volume and velocity of data. Conventional data center architectures have not kept up with the needs for these workloads. To address these new client needs, IBM has adopted an innovative, open business model through its OpenPOWER initiative.”

Sixteen Teams to Compete in SC17 Student Cluster Competition

Today SC17 announced that 16 teams will take part in the Student Cluster Competition. Hailing from across the U.S., as well as Asia and Europe, the student teams will race to build HPC clusters and run a full suite of applications in the space of just a few days.

Trends in Systems and How to Get Efficient Performance

Martin Hilgeman from Dell gave this talk at the Switzerland HPC Conference. “With all the advances in massively parallel and multi-core computing with CPUs and accelerators it is often overlooked whether the computational work is being done in an efficient manner. This efficiency is largely being determined at the application level and therefore puts the responsibility of sustaining a certain performance trajectory into the hands of the user. This presentation shows the well-known laws of parallel performance from the perspective of a system builder.”

Comet Supercomputer Doubles Down on Nvidia Tesla P100 GPUs

The San Diego Supercomputer Center has been granted a supplemental award from the National Science Foundation to double the number of GPUs on its petascale-level Comet supercomputer. “This expansion is reflective of a wider adoption of GPUs throughout the scientific community, which is being driven in large part by the availability of community-developed applications that have been ported to and optimized for GPUs,” said SDSC Director Michael Norman, who is also the principal investigator for the Comet program.

Intel Processors for Machine Learning

Machine Learning is a hot topic for many industries and is showing tremendous promise to change how we use systems. From design and manufacturing to searching for cures for diseases, machine learning can be a great disrupter, when implemented to take advantage of the latest processors.

One Stop Systems Announces SkyScale HPC as a Service

Today One Stop Systems (OSS) annouced the launch of SkyScale, a new company that provides HPC as a Service (HPCaaS). For years OSS has been designing and manufacturing the latest in high performance computing and storage systems. Now customers can lease time on these same systems, saving time and money. OSS systems are the distinguishing factor for SkyScale’s HPCaaS offering. OSS has been the first company to successfully produce a system that can operate sixteen of the latest NVIDIA Tesla GPU accelerators connected to a single server. These systems are employed today in deep learning applications and in a variety of industries including defense and oil and gas.