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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.”

Greg Kurtzer of LBNL Launches SingularityWare, LLC

Over at the Singularity Blog, Greg Kurtzer writes that he has created a new organization, SingularityWare, LLC. In partnership with RStor, the new company will be dedicated to further developing Singularity, supporting the associated open source community and growing the project. “In addition to continuing my leadership of Singularity (and the new LLC), I will be maintaining my association with Lawrence Berkeley National Laboratory, as a scientific advisor as well as continuing other efforts I am associated with (e.g. Warewulf and OpenHPC).”

Interview: Paul Messina Update on the Exascale Computing Project (ECP)

In this video, Paul Messina from the Exascale Computing Project describes recent progress towards the development of machines with 50x applications performance than is possible today. “The Exascale Computing Project (ECP) was established with the goals of maximizing the benefits of high-performance computing (HPC) for the United States and accelerating the development of a capable exascale computing ecosystem.

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.”