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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.”

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.”

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.”

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.”

Dell Brings Supercomputing Power to Mainstream Enterprises

“While traditional HPC has been critical to research programs that enable scientific and societal advancement, Dell is mainstreaming these capabilities to support enterprises of all sizes as they seek a competitive advantage in an ever increasing digital world,” said Jim Ganthier, vice president and general manager, Dell Engineered Systems, Cloud and HPC. “As a clear leader in HPC, Dell now offers customers highly flexible, precision built HPC systems for multiple vertical industries based upon years of experience powering the world’s most advanced academic and research institutions. With Dell HPC Systems, our customers can deploy HPC systems more quickly and cost effectively and accelerate their speed of innovation to deliver both breakthroughs and business results.”

Hewlett Packard Enterprise Rolls Out Software Defined HPC Platform

Today, Hewlett Packard Enterprise (HPE) introduced new high-performance computing solutions that aim to accelerate HPC adoption by enabling faster time-to-value and increased competitive differentiation through better parallel processing performance, reduced complexity and deployment time. These innovations include: HPE Core HPC Software Stack with HPE Insight Cluster Management Utility v8.0: Designed to meet the needs of […]

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.”