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One Stop Systems Showcases GPU and Flash Appliances at ISC

This week in Frankfurt, One Stop Systems showcased all-new HPC Appliances at ISC 2017. “One Stop Systems offers a wide variety of GPU and Flash appliances to support a range of customer needs,” Said Steve Cooper, CEO of One Stop Systems. “As GPU and flash technology continue to improve, OSS products are immediately able to accommodate the newest and most powerful GPUs and the highest capacity flash cards. Now we’re offering customers the opportunity to lease time on our HPC appliances through SkyScale. SkyScale utilizes OSS GPU appliances to build, configure, and manage dedicated systems strategically located in maximum-security facilities, allowing customers to focus on results while minimizing capital equipment investment.”

NVIDIA Powers Top 13 Most Energy Efficient Supercomputers

Today Nvidia announced that the NVIDIA Tesla AI supercomputing platform powers the top 13 measured systems on the new Green500 list of the world’s most energy-efficient high performance computing systems. All 13 use NVIDIA Tesla P100 data center GPU accelerators, including four systems based on the NVIDIA DGX-1 AI supercomputer. “NVIDIA also released performance data illustrating that NVIDIA Tesla GPUs have improved performance for HPC applications by 3X over the Kepler architecture released two years ago. This significantly boosts performance beyond what would have been predicted by Moore’s Law, even before it began slowing in recent years.”

OpenACC Takes Off at ISC17

Today the OpenACC standards group announced plans to showcase new advancements and increasing momentum for their programming model at ISC 2017 in Frankfurt. “OpenACC is a user-driven directive-based performance-portable parallel programming model designed for scientists and engineers interested in porting their codes to a wide-variety of heterogeneous HPC hardware platforms and architectures with significantly less programming effort than required with a low-level or explicit models.”

Allinea to Showcase V7.1 Performance Tools at ISC 2017

Today Allinea software, now part of ARM, announced plans to preview the latest update to its powerful tool suite for developing and optimizing high performance and scientific applications at ISC17 in Frankfurt. “Eliminating performance loss across systems and minimizing the communication overhead often make a critical difference in improving application run times in HPC. We believe that our extended cross-platform support will enable users to achieve unprecedented results by running their systems more efficiently on each of the major platforms and even across platforms,” said Mark O’Connor, director of product management, server and HPC tools, ARM.

Kyushu University Orders Fujitsu Supercomputer

Today Fujitsu announced an order from the Research Institute for Information Technology at Kyushu University for a new supercomputer system for deployment in October 2017. “This system will consist of over 2,000 servers, including the Fujitsu Server PRIMERGY CX400, the next-generation model of Fujitsu’s x86 server. It is expected to offer top-class performance in Japan, providing a theoretical peak performance of about 10 petaflops. This will also be Japan’s first supercomputer system featuring a large-scale private cloud environment constructed on a front-end sub system, linked with a computational server of a back-end sub system through a high-speed file system.”

Podcast: DoE Awards $258 Million for Exascale to U.S. HPC Vendors

Today U.S. Secretary of Energy Rick Perry announced that six leading U.S. technology companies will receive funding from the Department of Energy’s Exascale Computing Project (ECP) as part of its new PathForward program, accelerating the research necessary to deploy the nation’s first exascale supercomputers. “Continued U.S. leadership in high performance computing is essential to our security, prosperity, and economic competitiveness as a nation,” said Secretary Perry. “These awards will enable leading U.S. technology firms to marshal their formidable skills, expertise, and resources in the global race for the next stage in supercomputing—exascale-capable systems.”

Exxact Corporation offers NVIDIA DGX Station and DGX-1 for Deep Learning

Today Exxact Corporation announced that it will offer the new NVIDIA DGX Station and DGX-1 systems featuring the NVIDIA Tesla V100 data center GPUs based on the NVIDIA Volta architecture. “NVIDIA’s DGX portfolio is paving the way for a new era of computing,” said Jason Chen, Vice President of Exxact Corporation. “The performance of the new DGX Station and DGX-1 systems for AI and advanced analytics is unmatched, providing data scientists a complete hardware and software package for compute-intensive AI exploration.”

Riding the Wave of Machine Learning and Deep Learning

Artificial intelligence (AI) and machine learning — decades-old technologies that are now electrifying the computing industry — for all intents and purposes, seem to be in the process of transforming corporate America. This article is part of a special insideHPC report that explores trends in machine learning and deep learning.

Microway GPU Systems for HPC & Deep Learning at GTC 2017

In this video from the 2017 GPU Technology Conference, Eliot Eshelman from Microway describes the company’s GPU expertise and wide range of accelerated HPC products. “Since 1982, Microway has delivered high performance computing solutions. We have in-depth experience with demanding Linux-based scientific/engineering applications. Leveraging NVIDIA’s latest Tesla GPUs, our team will design a solution for your specific applications. Our experts ensure your system is delivered fully tested and ready to run!”

AMAX Showcases Virtualization Solutions for GPUs at GTC 2017

In this video from GTC 2017, Dr. Rene Meyer from AMAX describes the company’s innovative virtualization solutions for GPU computing. “What we are showcasing here is a very interesting solution—a hardware/software solution. We not only present the hardware, but we put a software layer on top, which allows you to virtualize GPUs in those machines.”