Today, the European Adept Project wrapped up by releasing a set of open-source energy measurement tools. “This is a significant step forward in understanding where exactly in a parallel computing system energy is consumed,” says Dr Michèle Weiland, Project Coordinator for Adept. “Giving both hardware and software developers access to this type of information allows them to make informed choices about new implementations, without guesswork.”
“Engineers at Cray noted that the HPC community was hungry for alternative parallel programming languages and developed Chapel as part of our response. The reaction from HPC users so far has been very encouraging—most would be excited to have the opportunity to use Chapel once it becomes production-grade.”
In this video from the 2016 HPC User Forum in Austin, a select panel of HPC vendors describe their disruptive technologies for high performance computing. Vendors include: Altair, SUSE, ARM, AMD, Ryft, Red Hat, Cray, and Hewlett Packard Enterprise. “A disruptive innovation is an innovation that creates a new market and value network and eventually disrupts an existing market and value network, displacing established market leading firms, products and alliances.”
“This project will make a substantial contribution to advancing wind energy,” said Steve Hammond, NREL’s Director of Computational Science and the principal investigator on the project. “It will advance our fundamental understanding of the complex flow physics of whole wind plants, which will help further reduce the cost of electricity derived from wind energy.”
Loyola University Maryland has been awarded a $280,120 grant from the National Science Foundation (NSF) to build an HPC cluster that will exponentially expand research opportunities for faculty and students across disciplines.
“The drive towards Exascale computing requires cooling the next generation of extremely hot CPUs, while staying within a manageable power envelope,” said Bob Bolz, HPC and Data Center Business development at Aquila. “Liquid cooling holds the key. Aquarius is designed from the ground up to meet reliability and the feature-specific demands of high performance and high density computing. Our design goal was to reduce the cost of cooling server resources to well under 5% of overall data center usage.”
Gary Paek from Intel presented this talk at the HPC User Forum in Austin. “Traditional high performance computing is hitting a performance wall. With data volumes exploding and workloads becoming increasingly complex, the need for a breakthrough in HPC performance is clear. Intel Scalable System Framework provides that breakthrough. Designed to work for small clusters to the world’s largest supercomputers, Intel SSF provides scalability and balance for both compute- and data intensive applications, as well as machine learning and visualization. The design moves everything closer to the processor to improve bandwidth, reduce latency and allow you to spend more time processing and less time waiting.”
PRACE has announced the winners of its 13th Call for Proposals for PRACE Project Access. Selected proposals will receive allocations to the following PRACE HPC resources: Marconi and MareNostrum.
Today the Energy Department’s Advanced Manufacturing Office announced up to $3 million in available funding for manufacturers to use high-performance computing resources at the Department’s national laboratories to tackle major manufacturing challenges. The High Performance Computing for Manufacturing (HPC4Mfg) program enables innovation in U.S. manufacturing through the adoption of high performance computing (HPC) to advance applied science and technology in manufacturing, with an aim of increasing energy efficiency, advancing clean energy technology, and reducing energy’s impact on the environment.
The prevalency of cloud computing has changed the HPC landscape necessaiting HPC management tools that can manage and simplify complex enviornments in order to optimize flexibility and speed. Altair’s new solution PBS Cloud Manager makes it easy to build and manage HPC application stacks.