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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.”

Leaping Forward in Energy Efficiency with the DOME 64-bit μDataCenter

In this slidecast, Ronald P. Luijten from IBM Research in Zurich presents: DOME 64-bit μDataCenter. “I like to call it a data­cen­ter in a shoe­box. With the com­bi­na­tion of power and ener­gy ef­fi­cien­cy, we be­lieve the mi­cro­serv­er will be of in­te­rest be­yond the DOME pro­ject, par­tic­u­lar­ly for cloud data centers and Big Data ana­ly­tics ap­pli­ca­tions.”

Video: HPC at NIBR

“Focused on High Performance and Scientific Computing at Novartis Institutes for Biomedical Research (NIBR), in Basel Switzerland, Nick Holway and his team provide HPC resources and services, including programming and consultancy for the innovative research organization. Supporting more than 6,000 scientists, physicians and business professionals from around the world focused on developing medicines and devices that can produce positive real-world outcomes for patients and healthcare providers, Nick also contributes expertise in bioinformatics, image processing and data science in support of the researchers and their works.”

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.”

Slidecast: BXI – Bull eXascale Interconnect

“The interconnect is going to be a key enabling technology for exascale systems. This is why one of the cornerstones of Bull’s exascale program is the development of our own new-generation interconnect. The Bull eXascale Interconnect or BXI introduces a paradigm shift in terms of performance, scalability, efficiency, reliability and quality of service for extreme workloads.”

Trends in Systems and How to Get Efficient Performance

Martin Hilgeman from Dell gave this talk at the Switzerland HPC Conference. “With all the advances in massively parallel and multi-core computing with CPUs and accelerators it is often overlooked whether the computational work is being done in an efficient manner. This efficiency is largely being determined at the application level and therefore puts the responsibility of sustaining a certain performance trajectory into the hands of the user. This presentation shows the well-known laws of parallel performance from the perspective of a system builder.”

Rock Stars of HPC: DK Panda

As our newest Rock Star of HPC, DK Panda sat down with us to discuss his passion for teaching High Performance Computing. “During the last several years, HPC systems have been going through rapid changes to incorporate accelerators. The main software challenges for such systems have been to provide efficient support for programming models with high performance and high productivity. For NVIDIA-GPU based systems, seven years back, my team introduced a novel `CUDA-aware MPI’ concept. This paradigm allows complete freedom to application developers for not using CUDA calls to perform data movement.”

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.”