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Video: Rolling Out the New Intel Xeon Phi Processor at ISC 2016

In this video from ISC 2016, Barry Davis from Intel describes the company’s brand new Intel Xeon Phi Processor and how it fits into the Intel Scalable System Framework. “Eliminate node bottlenecks, simplify your code modernization and build on a power-efficient architecture with the Intel Xeon Phi™ processor, a foundational element of Intel Scalable System Framework. The bootable host processor offers an integrated architecture for powerful, highly parallel performance that will pave your path to deeper insight, innovation and impact for today’s most-demanding High Performance Computing applications, including Machine Learning. Supported by a comprehensive technology roadmap and robust ecosystem, the Intel Xeon Phi processor is a future-ready solution that maximizes your return on investment by using open standards code that are flexible, portable and reusable.”

Video: Announcing Intel HPC Orchestrator

In this video from ISC 2016, Figen Ulgen from Intel describes the new Intel HPC Orchestrator. “Intel HPC Orchestrator simplifies the installation, management and ongoing maintenance of a high-performance computing system by reducing the amount of integration and validation effort required for the HPC system software stack. Intel HPC Orchestrator can help accelerate your time to results and value in your HPC initiatives. With Intel HPC Orchestrator, based on the OpenHPC system software stack, you can take advantage of the innovation driven by the open source community – while also getting peace of mind from Intel support across the stack.”

Interview: Dr. Eng Lim Goh on the Latest Trends in High Performance Data Analytics

In this video from ISC 2016, Dr. Eng Lim Goh from SGI discusses the latest trends in high performance data analytics and machine learning. “Dr. Eng Lim Goh joined SGI in 1989, becoming a chief engineer in 1998 and then chief technology officer in 2000. He oversees technical computing programs with the goal to develop the next generation computer architecture for the new many-core era. His current research interest is in the progression from data intensive computing to analytics, machine learning, artificial specific to general intelligence and autonomous systems. Since joining SGI, he has continued his studies in human perception for user interfaces and virtual and augmented reality.”

Slidecast: Announcing the Nvidia Tesla P100 for PCIe Servers

In this slidecast, Marc Hamilton from describes the Nvidia Tesla P100 for PCIe Servers. “The Tesla P100 for PCIe is available in a standard PCIe form factor and is compatible with today’s GPU-accelerated servers. It is optimized to power the most computationally intensive AI and HPC data center applications. A single Tesla P100-powered server delivers higher performance than 50 CPU-only server nodes when running the AMBER molecular dynamics code, and is faster than 32 CPU-only nodes when running the VASP material science applications.”

Cray Adds Intel Xeon Phi Processor to Flagship Line of Supercomputers

Today Cray introduced new performance breakthroughs that will provide customers with the fastest Cray XC supercomputers and Cray Sonexion storage systems to date. “Our customers are taking on increasingly complex computational problems that are expanding the boundaries of supercomputing and storage performance capabilities,” said Ryan Waite, Cray’s senior vice president of products. “We partner closely with our customers to understand their unique requirements and deliver new systems that deliver peak performance. For many of our customers, Intel Xeon Phi processors and Lustre parallel file systems are critical components of their supercomputing infrastructure. Our close collaboration with Intel helps to ensure our Intel Xeon Phi processor-based solutions scale to the most demanding performance requirements and our close partnership with Seagate helps scale Lustre to new levels of performance and stability.”

Requirements in HPC Environments

Organizations that implement high-performance computing (HPC) technologies have a wide range of requirements. From small manufacturing suppliers to national research institutions, using significant computing technologies is critical to creating innovative products and leading-edge research. No two HPC installations are the same. “For maximum return, budget, software requirements, performance and customization all must be considered before installing and operating a successful environment.”

93 Petaflop Chinese Supercomputer is World’s Fastest on Latest TOP500 List

A new machine called Sunway TaihuLight in China is the fastest supercomputer on the planet. Announced today with the release of the latest TOP500 list, the 93 Petaflop machine sports over 10.6 Million compute cores. “The latest list marks the first time since the inception of the TOP500 that the U.S is not home to the largest number of systems. With a surge in industrial and research installations registered over the last few years, China leads with 167 systems and the U.S. is second with 165. China also leads the performance category, thanks to the No. 1 and No. 2 systems.”

New NVIDIA Tesla P100 Brings Pascal Architecture to HPC Applications

“Accelerated computing is the only path forward to keep up with researchers’ insatiable demand for HPC and AI supercomputing,” said Ian Buck, vice president of accelerated computing at NVIDIA. “Deploying CPU-only systems to meet this demand would require large numbers of commodity compute nodes, leading to substantially increased costs without proportional performance gains. Dramatically scaling performance with fewer, more powerful Tesla P100-powered nodes puts more dollars into computing instead of vast infrastructure overhead.”

CoolIT Systems Rolls Out Rack DCLC CHx80 Heat Exchange Module

Today CoolIT Systems rolled out its new CHx80 Heat Exchange Module. As part of an expanded its Rack DCLC product line, this next generation liquid-to-liquid heat exchanger provides cooling capacity with N+1 reliability to manage the most challenging, high density HPC racks. CoolIT will showcase the rack-mount CHx80 at ISC16 in Frankfurt.

Helping the Compiler Speed Intel Xeon Phi

The vector parallel capabilities of the Intel Xeon Phi coprocessor are similar in many ways with vectorizing code for the main CPU. The performance improvement when coding smartly and using the tools available can be tremendous. Since the Intel Xeon Phi coprocessor can show very large gains in performance due to its extra wide processing units. “Although it is time consuming to look at each and every loop in a large application, by doing so, and both telling the compiler what to do, and letting the compiler do its work, performance increases can be quite large, leading to shorter run times and/or more complete results.”