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OpenHPC: A Comprehensive System Software Stack

Bob Wisniewski from Intel presents: OpenHPC: A Cohesive and Comprehensive System Software Stack. “OpenHPC is a collaborative, community effort that initiated from a desire to aggregate a number of common ingredients required to deploy and manage High Performance Computing (HPC) Linux clusters including provisioning tools, resource management, I/O clients, development tools, and a variety of scientific libraries.

Leveraging HPC for Real-Time Quantitative Magnetic Resonance Imaging

W. Joe Allen from TACC gave this talk at the HPC User Forum. “The Agave Platform brings the power of high-performance computing into the clinic,” said William (Joe) Allen, a life science researcher for TACC and lead author on the paper. “This gives radiologists and other clinical staff the means to provide real-time quality control, precision medicine, and overall better care to the patient.”

Video: IBM Datacentric Servers & OpenPOWER

“Big data analytics, machine learning and deep learning are among the most rapidly growing workloads in the data center. These workloads have the compute performance requirements of traditional technical computing or high performance computing, coupled with a much larger volume and velocity of data. Conventional data center architectures have not kept up with the needs for these workloads. To address these new client needs, IBM has adopted an innovative, open business model through its OpenPOWER initiative.”

Video: The Molecular Sciences Software Institute

Daniel Crawford from Virginia Tech gave this talk at the HPC User Forum. “The Molecular Sciences Software Institute serves as a nexus for science, education, and cooperation serving the worldwide community of computational molecular scientists – a broad field including of biomolecular simulation, quantum chemistry, and materials science. The Institute will spur significant advances in software infrastructure, education, standards, and best-practices that are needed to enable the molecular science community to open new windows on the next generation of scientific Grand Challenges.”

HPC Accelerating Combustion Engine Design

Sibendu Som from Argonne presented this talk at the HPC User Forum. “Sibendu Som is a mechanical engineer and principal investigator for developing predictive spray and combustion modeling capabilities for compression ignition engines. With the aid of high-performance computing, Sibendu focuses on developing robust models which can improve the performance and emission characteristics of a variety of bio-derived fuels. Predictive simulation capability can provide significant insights on how to improve the efficiency and emissions for different bio-derived fuels of interest.”

High Performance Data Analysis (HPDA): HPC – Big Data Convergence

“To date, most data-intensive HPC jobs in the government, academic and industrial sectors have involved the modeling and simulation of complex physical and quasi-physical systems. The systems range from product designs for cars, planes, golf clubs and pharmaceuticals, to subatomic particles, global weather and climate patterns, and the cosmos itself. But from the start of the supercomputer era in the 1960s — and even earlier —an important subset of HPC jobs has involved analytics — attempts to uncover useful information and patterns in the data itself.”

The Past and Future of Aircraft Engine Development

“Inside a jet engine, air flowing faster than a hurricane is combined with fuel to generate heat that powers the plane. Designers are turning to supercomputers to model these complex processes to make new engines that are cleaner, quieter and cheaper. Our first aircraft engine transformed the aviation industry. It was the 410-horsepower, air­cooled Wasp, which delivered unprecedented performance and reliability for the time. We have been leading change ever since.”

Video: 2016 HPC Market Results, Growth Projections, and Trends

In this video from the HPC User Forum in Santa Fe, Earl Joseph from Hyperion Research provides an HPC Market Update and results from their Exascale Tracking Study. “Formerly the IDC HPC Research Group, Hyperion Research tracks the high performance market.”

Dr. Eng Lim Goh presents: HPC & AI Technology Trends

Dr. Eng Lim Goh from Hewlett Packard Enterprise gave this talk at the HPC User Forum. “SGI’s highly complementary portfolio, including its in-memory high-performance data analytics technology and leading high-performance computing solutions will extend and strengthen HPE’s current leadership position in the growing mission critical and high-performance computing segments of the server market.”

Update on the Exascale Computing Project (ECP)

Paul Messina from Argonne presented this talk at the HPC User Forum in Santa Fe. “The Exascale Computing Project (ECP) was established with the goals of maximizing the benefits of HPC for the United States and accelerating the development of a capable exascale computing ecosystem. The ECP is a collaborative effort of two U.S. Department of Energy organizations – the Office of Science (DOE-SC) and the National Nuclear Security Administration (NNSA).”