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Introducing the European EXDCI initiative for HPC

“The European Extreme Data & Computing Initiative (EXDCI) objective is to support the development and implementation of a common strategy for the European HPC Ecosystem. One of the main goals of the meeting in Bologna was to set up a roadmap for future developments, and for other parties who would like to participate in HPC research.”

Radio Free HPC Previews the SC17 Plenary on Smart Cities

In this podcast, the Radio Free HPC team looks at Smart Cities. As the featured topic this year at the SC17 Plenary, the Smart Cities initiative looks to improve the quality of life for residents using urban informatics and other technologies to improve the efficiency of services.

Mapping of the Opportunities for Government, Academia, and Industry Engagement in HPC

Mark Sims (DoD) and Bob Sorensen from Hyperion Research gave this talk at the HPC User Forum in Milwaukee. Here, they demonstrate an exciting new tool that aims to map HPC centers across the USA.

Supporting Diverse HPC Workloads on a Single Cluster

 High Performance Computing is extending its reach into new areas. Not only are modeling and simulation being used more widely, but deep learning and other high performance data analytics (HPDA) applications are becoming essential tools across many disciplines. This sponsored post from Intel explores how Plymouth University’s High Performance Computer Centre (HPCC) used Intel HPC Orchestrator to support diverse workloads as it recently deployed a new 1,500-core cluster. 

How Can We Bring Apps to Racks?

In this special guest feature, Rosemary Dr Rosemary Francis from Ellexus describes why the customized nature of HPC is not a sustainable path forward for the next generation. “The downside is that many of our systems and tools are inaccessible to non-expert users. For example, deep learning is bringing more and more scientists closer towards HPC, but while they bring their knowledge, they also bring their high expectations for what they believe IT can do and not necessarily an understanding of how it works.”

A Perspective on HPC-enabled AI

Tim Barr from Cray gave this talk at the HPC User Forum in Milwaukee. “Cray’s unique history in supercomputing and analytics has given us front-line experience in pushing the limits of CPU and GPU integration, network scale, tuning for analytics, and optimizing for both model and data parallelization. Particularly important to machine learning is our holistic approach to parallelism and performance, which includes extremely scalable compute, storage and analytics.”

No speed limit on NVIDIA Volta with rise of AI

In this special guest feature, Brad McCredie from IBM writes that launch of Volta GPUs from NVIDIA heralds a new era of AI. “We’re excited about the launch of NVIDIA’s Volta GPU accelerators. Together with the NVIDIA NVLINK “information superhighway” at the core of our IBM Power Systems, it provides what we believe to be the closest thing to an unbounded platform for those working in machine learning and deep learning and those dealing with very large data sets.”

Radio Free HPC Looks at China’s 95 Petaflop Tianhe-2A Supercomputer

In this podcast, the Radio Free HPC team looks at China’s massive upgrade of the Tianhe-2A supercomputer to 95 Petaflops peak performance. “As detailed in a new 21-page report by Jack Dongarra from the University of Tennessee, the upgrade should nearly double the performance of the system, which is currently ranked at #2 on TOP500.”

Video: Will HPC Move to the Cloud?

Gabriel Broner from Rescale gave this talk at the HPC User Forum. “HPC has transitioned from unique and proprietary designs, to clusters of many dual-CPU Intel nodes. Vendors’ products are now differentiated more by packaging, density, and cooling than the uniqueness of the architecture. In parallel, cloud computing has gained momentum in the larger IT industry. Intel is now selling more processors to run in the cloud than in company-owned facilities, and cloud is starting to drive innovation and efficiencies at a rate faster than on premises.”

Development Trends of Next-Generation Supercomputers

Bob Sorensen from Hyperion Research describes an ongoing study on the Development Trends of Next-Generation Supercomputers. The project will gather information on pre-exascale and exascale systems today and through 2028 and build a database of technical information on the research and development efforts on these next-generation machines.