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Exascale for Everyone

The exascale hype has been gaining a lot of steam in the press lately, and for good reason. Ever since the petascale barrier was broken in 2008, technology users, companies and research institutions have set their ‘sites’ on the holy grail of computing milestones. In this guest article, Matt Ziegler, Director HPC & AI Product Management, HPC Product Marketing at Lenovo, explores the evolution of and potential of exascale computing.

The Best Software-Defined Network for the Best Network Efficiency (or Getting Ready for Exascale)

Software-Defined Networking (SDN) is a concept that has emerged in recent years to decouple network control and forwarding functions. The one network type that does not require special effort to adjust it to the computational needs of high-performance computing, deep learning or any other data intensive application is InfiniBand. In this guest article, Mellanox Technologies’ Gilad Shainer and Eitan Zahavi explore Infiniband networks and the benefits and potential of software-defined networking. 

Podcast: Doug Kothe Looks back at the Exascale Computing Project Annual Meeting

In this podcast, Doug Kothe from the Exascale Computing Project describes the 2019 ECP Annual Meeting. “Key topics to be covered at the meeting are discussions of future systems, software stack plans, and interactions with facilities. Several parallel sessions are also planned throughout the meeting.”

Cray Sets the Stage for Exascale at ISC 2018

In this video from ISC 2018, Cray CTO Steve Scott describes how the company is moving towards providing Exascale computing capabilities for scientists and engineers worldwide. “It takes many years and many generations of technology developments to be a successful supercomputing provider. With every Cray system, you get the benefit of decades of supercomputing experience. We offer a comprehensive portfolio of supercomputer, storage, data analytics and AI solutions for a range of budgets. All hardware and software is integrated, and every solution comes with the assurance of Cray support.”

HPC4energy: The use of Exascale Computers in Oil & Gas, Wind Energy and Biogas Combustion Industries

New energy sources, if untapped, might become crucial in the mid-term. Intensive numerical simulations and prototyping are needed to assess their real value and improve their throughput. The impact of exascale HPC and data intensive algorithms in the energy industry is initially established in the U.S. Department of Energy (DOE) document “Synergistic Challenges in Data-Intensive Science and Exascale Computing.”

Energy Efficiency in the Software Stack — Cross Community Efforts

This report covers events at SC17 that focused on energy efficiency and highlights ongoing collaborations across the community to develop advanced software technologies for system energy and power management.

Exascale to Enable Smart Cities

Over at Argonne, Charlie Catlett describes how the advent of Exascale computing will enable Smart Cities designed to improve the quality of life for urban dwellers. Catlett will moderate a panel discussion on Smart Cities at the SC17 Plenary session, which kicks off the conference on Monday, Nov. 13 in Denver.

Video: Silicon Photonics for Extreme Computing

Keren Bergman from Columbia University gave this talk at the 2017 Argonne Training Program on Extreme-Scale Computing. “Exaflop machines would represent a thousand-fold improvement over the current standard, the petaflop machines that first came on line in 2008. But while exaflop computers already appear on funders’ technology roadmaps, making the exaflop leap on the short timescales of those roadmaps constitutes a formidable challenge.”

A Vision for Exascale: Simulation, Data and Learning

Rick Stevens gave this talk at the recent ATPESC training program. “The ATPESC program provides intensive, two weeks of training on the key skills, approaches, and tools to design, implement, and execute computational science and engineering applications on current high-end computing systems and the leadership-class computing systems of the future. As a bridge to that future, this two-week program fills the gap that exists in the training computational scientists typically receive through formal education or other shorter courses.”

Exascale Computing: A Race to the Future of HPC

In this week’s Sponsored Post, Nicolas Dube of Hewlett Packard Enterprise outlines the future of HPC and the role and challenges of exascale computing in this evolution. The HPE approach to exascale is geared to breaking the dependencies that come with outdated protocols. Exascale computing will allow users to process data, run systems, and solve problems at a totally new scale, which will become increasingly important as the world’s problems grow ever larger and more complex.