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SC18 Preview: Steve Furber on Brain-Inspired Massively-Parallel Computing

SC18 continues its series of Invited Talk previews with this quick look at “Brain-Inspired Massively-Parallel Computing” by Stephen Furber. “The SpiNNaker (Spiking Neural Network Architecture) platform is an example of a highly flexible digital neuromorphic platform, based upon a massively-parallel configuration of small processors with a bespoke interconnect fabric designed to support the very high connectivity of biological neural nets in real-time models. Although designed primarily to support brain science, it can also be used to explore more applications-oriented research.”

InfiniBand Powers World’s Fastest Supercomputer

Today the InfiniBand Trade Association (IBTA) announced that the latest TOP500 List results that report the world’s new fastest supercomputer, Oak Ridge National Laboratory’s Summit system, is accelerated by InfiniBand EDR. InfiniBand now powers the top three and four of the top five systems. The latest rankings underscore InfiniBand’s continued position as the interconnect of choice for the industry’s most demanding high performance computing (HPC) platforms. “As the makeup of the world’s fastest supercomputers evolve to include more non-HPC systems such as cloud and hyperscale, the IBTA remains confident in the InfiniBand Architecture’s flexibility to support the increasing variety of demanding deployments,” said Bill Lee, IBTA Marketing Working Group Co-Chair. “As evident in the latest TOP500 List, the reinforced position of InfiniBand among the most powerful HPC systems and growing prominence of RoCE-capable non-HPC platforms demonstrate the technology’s unparalleled performance capabilities across a diverse set of applications.”

Radio Free HPC runs down the latest TOP500 Fastest Supercomputers

In this podcast, the Radio Free HPC team reviews the latest TOP500 list of the world’s fastest supercomputers. “The TOP500 celebrates its 25th anniversary with a major shakeup at the top of the list. For the first time since November 2012, the US claims the most powerful supercomputer in the world, leading a significant turnover in which four of the five top systems were either new or substantially upgraded.”

MareNostrum 4 Adds POWER9 Racks with Volta GPUS for AI Research

The Barcelona Supercomputing Centre has augmented their hybrid MareNostrum supercomputer with the new racks of IBM AC922 servers. This upgrade makes BSC becomes the first center in Europe to offer access to the same technologies of the brand new Summit, the most powerful supercomputer in the world. “Accelerated by NVIDIA Volta V100 GPUs, the new three racks have a peak performance of 1.48 Petaflops, a 50% more than MareNostrum3 supercomputer, which was uninstalled just one year ago”

Video: Researchers Step Up with the New Summit Supercomputer

“The biggest problems in science require supercomputers of unprecedented capability. That’s why the ORNL launched Summit, a system 8 times more powerful than their previous top-ranked system, Titan. Summit is providing scientists with incredible computing power to solve challenges in energy, artificial intelligence, human health, and other research areas, that were simply out of reach until now. These discoveries will help shape our understanding of the universe, bolster US economic competitiveness, and contribute to a better future.”

Video: Announcing Summit – World’s Fastest Supercomputer with 200 Petaflops of Performance

Today Energy Secretary Rick Perry unveiled Summit, the world’s most powerful supercomputer. Powered by IBM POWER9 processors, 27,648 NVIDIA GPUs, and Mellanox InfiniBand, the Summit supercomputer is also the first Exaop AI system on the planet. “This massive machine, powered by 27,648 of our Volta GPUs, can perform more than three exaops, or three billion billion calculations per second,” writes Ian Buck on the NVIDIA blog. “That’s more than 100 times faster than Titan, previously the fastest U.S. supercomputer, completed just five years ago. And 95 percent of that computing power comes from GPUs.”

Minsky at Murex: GPUs for Risk Management

Pierre Spatz from Murex gave this talk at the NVIDIA GPU Technology Conference. “Murex has been an early adopters of GPU for pricing and risk management of complex financial options. GPU adoption has generated performance boost of its software while reducing its usage cost. Each new generation of GPU has also shown the importance of the necessary reshaping of the architecture of the software using its GPU accelerated analytics. Minsky featuring far better GPU memory bandwidth and GPU-CPU interconnect rase the bar even further. Murex will show how it has handled this new challenge for its business.”

ScyllaDB Announces Support for IBM Power Systems for Real Time Big Data

Today real-time database company ScyllaDB announced a new Scylla Enterprise release with optimizations for IBM Power System Servers with the IBM POWER9 multi-core architecture. By combining Scylla’s highly performant, close-to-the-hardware design with next-generation IBM Power System Servers, organizations can reach new levels of performance while also reducing the footprint, cost and complexity of their systems. “ScyllaDB has designed a powerful distributed database that extends the performance advantages we’ve introduced with our multi-core POWER9 processors,” said Tim Vincent, IBM Fellow and Vice President of IBM Cognitive Systems. “The combination of the Scylla NoSQL database and our Power System Servers enables our shared customers to scale up their systems rather than continually scaling out, creating new opportunities for data center consolidation and price performance.”

Brain Research: A Pathfinder for Future HPC

Dirk Pleiter from the Jülich Supercomputing Centre gave this talk at the NVIDIA GPU Technology Conference. “One of the biggest and most exiting scientific challenge requiring HPC is to decode the human brain. Many of the research topics in this field require scalable compute resources or the use of advance data analytics methods (including deep learning) for processing extreme scale data volumes. GPUs are a key enabling technology and we will thus focus on the opportunities for using these for computing, data analytics and visualization. GPU-accelerated servers based on POWER processors are here of particular interest due to the tight integration of CPU and GPU using NVLink and the enhanced data transport capabilities.”

Celebrating 20 Years of the OpenMP API

“The first version of the OpenMP application programming interface (API) was published in October 1997. In the 20 years since then, the OpenMP API and the slightly older MPI have become the two stable programming models that high-performance parallel codes rely on. MPI handles the message passing aspects and allows code to scale out to significant numbers of nodes, while the OpenMP API allows programmers to write portable code to exploit the multiple cores and accelerators in modern machines.”