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Context Matters: Distributed Graph Algorithms and Runtime Systems

In this video from the PASC16 conference, Andrew Lumsdaine from Indiana University presents: Context Matters: Distributed Graph Algorithms and Runtime Systems. “The increasing complexity of the software/hardware stack of modern supercomputers makes understanding the performance of the modern massive-scale codes difficult. Distributed graph algorithms (DGAs) are at the forefront of that complexity, pushing the envelope with their massive irregularity and data dependency. We analyze the existing body of research on DGAs to assess how technical contributions are linked to experimental performance results in the field. We distinguish algorithm-level contributions related to graph problems from “runtime-level” concerns related to communication, scheduling, and other low-level features necessary to make distributed algorithms work. We show that the runtime is an integral part of DGAs’ experimental results, but it is often ignored by the authors in favor of algorithm-level contributions.”

Penguin Computing adds Intel Xeon Phi Processors to Tundra Supercomputers

Penguin Computing, a provider of high performance, enterprise data center and cloud solutions, announced its transition from pre-production deployments last year of systems based on the Intel Xeon Phi processor to full production for Penguin’s Tundra product family. “We received early access to the Intel Xeon Phi processor through Penguin Computing and its OCP-based Tundra Extreme Scale (ES) Series,” said James Laros, Principal Member of Technical Staff, Sandia National Laboratories. “We are seeing very promising results to date.”

Latest Irish Supercomputer List Reflects Growing Capabilities

“The June 2016 Irish Supercomputer List represents a seismic shake-up in the Irish HPC landscape. After a 2015 that saw only three new machines, the list has experienced a turnover of over 50% with three new Top500-class machines topping the list. High Performance Computing is alive and well in Ireland, with a combined national HPC output of over 1 Petaflop. On the global stage, Ireland is now at the envious position of being #2 in the world in terms of Top500 supercomputers per capita.”

DDN Powers Medical Breakthroughs at Children’s Mercy Kansas City

With DDN’s high-performance GRIDScaler platform, Children’s Mercy can scale up or out to handle massive data ingest, processing, storage and collaboration. Not only does DDN deliver performance and scalability unmatched by traditional scale-out, enterprise NAS architectures, the GS7K meets the Center’s imposing requirements for a high-density, cost-effective solution.

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.”

Intel Omni-Path Deployed at Northumbria in the UK

Today Northumbria University announced that its has become one of the first UK sites to deploy Intel Omni-Path Architecture (Intel OPA) for their centralized HPC infrastructure. Deployed by BIOS IT, this is the first stage of Northumbria University’s long term objective to provide its students, researchers and faculty members with a state of the art multipurpose heterogeneous computing facility.

Supercomputer Systems Monitoring and Management

The SGI Management Suite’s system health monitoring and management capability collects health status information on fundamental system’s functions such as memory, CPU and power. It identifies changes that require action, automatically alerts the system administrator, and provides proactive solutions to correct the problem.

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.”

Allinea DDT Debugger to be Used for 25 Petaflop Supercomputer at JCAHP in Japan

Today Allinea Software announced that the Joint Center for Advanced High Performance Computing (JCAHPC) in Japan will use the Allinea DDT debugger for its new supercomputer. Coming online in December 2016, the new supercomputer, known as Oakforest-PACS, will be the fastest supercomputer system in Japan with 25 PFLOPS on Intel’s Xeon Phi (Knights Landing) manycore processors and the Omni-Path architecture.

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.”