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Swiss HPC Conference to Focus on Intersecting Interests, Industries, and Initiatives

Coming up in April, AI and HPC practitioners share passions for cutting-edge technology and breakthrough R&D in Lugano, Switzerland at the tenth annual Swiss Conference and HPCXXL User Group. The joint sessions take place at Palazzo dei Congressi, April 1-4, bringing leaders together from academia, government and industry to share first-hand insights on innovative research, techniques, tools and technologies that are fueling economies, productivity and progress globally.

Radio Free HPC Looks at NVIDIA’s acquisition of Mellanox

In this podcast, the Radio Free HPC team looks at NVIDIA’s acquisition of Mellanox. “This called for an emergency session of our crack panel. While it will be several months before the full impact of this merger is felt, the RFHPC team believes this will change both the HPC and the Datacenter markets. It also signals Nvidia’s journey towards becoming more of a systems company and gives them a better shot at the enterprise AI market.”

NVIDIA to Purchase Mellanox for $6.9 Billion

Today NVIDIA announced plans to acquire Mellanox for approximately $6.9 billion. The acquisition will unite two of the world’s leading companies in HPC. Together, NVIDIA’s computing platform and Mellanox’s interconnects power over 250 of the world’s TOP500 supercomputers and have as customers every major cloud service provider and computer maker.

Agenda Posted: OFA Workshop in Austin March 19-21

Today the OpenFabrics Alliance (OFA) posted the OFA Workshop 2019 Agenda & Abstracts for their upcoming OFA Workshop. With sessions on ranging from interoperability and remote persistent memory to deployment of fabric technologies, the meeting takes place March 19-21 in Austin, Texas. “Over the three-day event, attendees will be treated to a brand-new Workshop activity that further underscores the OFA’s commitment to fostering collaboration and adoption within the advanced fabrics community.”

Video: Why InfiniBand is the Way Forward for Ai and Exascale

In this video, Gilad Shainer from the InfiniBand Trade Association describes how InfiniBand offers the optimal interconnect technology for Ai, HPC, and Exascale. “Tthrough Ai, you need the biggest pipes in order to move those giant amount of data in order to create those Ai software algorithms. That’s one thing. Latency is important because you need to drive things faster. RDMA is one of the key technology that enables to increase the efficiency of moving data, reducing CPU overhead. And by the way, now, there’s all of the Ai frameworks that exist out there, supports RDMA as a default element within the framework itself.”

How to Design Scalable HPC, Deep Learning and Cloud Middleware for Exascale Systems

DK Panda from Ohio State University gave this talk at the Stanford HPC Conference. “This talk will focus on challenges in designing HPC, Deep Learning, and HPC Cloud middleware for Exascale systems with millions of processors and accelerators. For the HPC domain, we will discuss about the challenges in designing runtime environments for MPI+X (PGAS – OpenSHMEM/UPC/CAF/UPC++, OpenMP, and CUDA) programming models taking into account support for multi-core systems (Xeon, OpenPower, and ARM), high-performance networks, GPGPUs (including GPUDirect RDMA), and energy-awareness.”

The State of High-Performance Fabrics: A Chat with the OpenFabrics Alliance

In this special guest feature, Paul Grun and Doug Ledford from the OpenFabrics Alliance describe the industry trends in the fabrics space, its state of affairs and emerging applications. “Originally, ‘high-performance fabrics’ were associated with large, exotic HPC machines. But in the modern world, these fabrics, which are based on technologies designed to improve application efficiency, performance, and scalability, are becoming more and more common in the commercial sphere because of the increasing demands being placed on commercial systems.”

WekaIO Beats Big Systems on the IO-500 10 Node Challenge

Today WekaIO announced record performance on the IO-500 10 Node Challenge benchmark. The Virtual Institute for I/O has placed WekaIO Matrix in first place on the IO-500 10 Node Challenge list, beating out massive supercomputer installations. VI4IO republished the 10 Node Challenge list with the new rankings indicating Matrix as number one—31 percent faster than IBM Spectrum Scale and 85 percent faster than DDN Lustre.

Why HPC Cloud is your Competitive Advantage

In this special guest post, Thomas Francis writes that the Cloud is stepping up to answer the computational challenges of Ai and HPC. “Cloud delivers cost savings and efficiencies which are nice to have. But the reason companies are adopting the cloud is because suddenly it is a competitive advantage. And conversely, using your company’s precious resources on buying and managing aging hardware is a disadvantage.”

200 Gigabit HDR InfiniBand to Power New Atos Supercomputers at CSC in Finland

Last week in Finland, Mellanox announced that its 200 Gigabit HDR InfiniBand solutions were selected to accelerate a multi-phase supercomputer system at CSC – the Finnish IT Center for Science. The new supercomputers, set to be deployed in 2019 and 2020 by Atos, will serve the Finnish researchers in universities and research institutes, enhancing climate, renewable energy, astrophysics, nanomaterials and bioscience, among a wide range of exploration activities. The Finnish Meteorological Institute (FMI) will have their own separate partition for diverse simulation tasks ranging from ocean fluxes to atmospheric modeling and space physics.