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Panel Discussion: Beyond Moore’s Law

“Shrinking the feature sizes of wires and transistors has been the driver for Moore’s Law for the past 5 decades, but what might lie beyond the end of current lithographic roadmaps and how will it affect computing as we know it? Moore’s Law is an economic theory after all, and any option that can make future computing more capable each new generation (by some measure) could continue Moore’s economic theory well into the future.” The goal of this panel session is to communicate the options for extending computing beyond the end of our current silicon lithography roadmaps.

Video: Computational Discovery in the 21st Century

Nicola Marzari from EPFL gave this public lecture at PASC17. “The talk offers a perspective on the current state-of-the-art in the field, its power and limitations, and on the role and opportunities for novel models of doing computational science – leveraging big data or artificial intelligence – to conclude with some examples on how quantum simulations are accelerating our quest for novel materials and functionalities.”

Testing Brain-Inspired Chips for Big Data Problems at Berkeley Lab

“The von Neumann design has also led computing to its current limits in efficiency and cooling. As engineers built increasingly complex chips to carry out sequential operations faster and faster, the speedier chips have also been producing more waste heat. Recognizing that modern computing cannot continue on this trajectory, a number of companies are looking to the brain for inspiration and developing “neuromorphic” chips that process data the way our minds do. One such technology is IBM’s TrueNorth Neurosynaptic System.”

Deep Learning in the Spotlight at ISC

This year the ISC conference dedicated an entire day to deep learning, Wednesday, June 21, to discuss the recent advances in artificial intelligence based on deep learning technology. However it, not just the conference where deep learning was dominating the conversation as the showfloor of the exhibition hosted many new products dedicated to optimizing HPC hardware for use in deep learning and AI workloads.

How HPE is Approaching Exascale with Memory-Driven Computing

In this video from ISC 2017, Mike Vildibill describes how Hewlett Packard Enterprise describes why we need Exascale and how the company is pushing forward with Memory-Driven Computing. “At the heart of HPE’s exascale reference design is Memory-Driven Computing, an architecture that puts memory, not processing, at the center of the computing platform to realize a new level of performance and efficiency gains. HPE’s Memory-Driven Computing architecture is a scalable portfolio of technologies that Hewlett Packard Labs developed via The Machine research project. On May 16, 2017, HPE unveiled the latest prototype from this project, the world’s largest single memory computer.”

Atos Launches World’s Fastest Quantum Simulator

“There is real excitement about new technologies like Quantum Computing, however many things are needed to help users learn how to program and use Quantum computers,” said Earl Joseph, CEO at Hyperion Research. “By providing universities, research institutes and both large and small businesses across the world access to its QLM, Atos is enabling organizations to experiment with Quantum computing and prepare for this potential revolution in computing.”

Intel’s Raj Hazra on how new technologies are Clouding our Future

In this video from ISC 2017, Raj Hazra, Corporate Vice President and General Manager of the Enterprise and Government Group at Intel, discusses key trends impacting the future growth of High Performance Computing. He focuses on the opportunities of enabling HPC in the cloud, and how this drives the need for a consistent platform that bridges the worlds of dedicated supercomputers and hyperscale cloud service providers.

AFRL Taps IBM to Build Brain-Inspired AI Supercomputer

Today IBM announced they are collaborating with the U.S. Air Force Research Laboratory (AFRL) on a first-of-a-kind brain-inspired supercomputing system powered by a 64-chip array of the IBM TrueNorth Neurosynaptic System. The scalable platform IBM is building for AFRL will feature an end-to-end software ecosystem designed to enable deep neural-network learning and information discovery.

Dr. Eng Lim Goh on HPE’s Recent PathForward Award for Exascale Computing

In this video from ISC 2017, Dr. Eng Lim Goh from HPE discusses the company’s recent PathForward award as well as the challenges of designing energy efficient Exascale systems. After that, he gives his unique perspective on HPE’s “The Machine” architecture for memory-driven computing. “The work funded by PathForward will include development of innovative memory architectures, higher-speed interconnects, improved reliability systems, and approaches for increasing computing power without prohibitive increases in energy demand.”

Podcast: DoE Awards $258 Million for Exascale to U.S. HPC Vendors

Today U.S. Secretary of Energy Rick Perry announced that six leading U.S. technology companies will receive funding from the Department of Energy’s Exascale Computing Project (ECP) as part of its new PathForward program, accelerating the research necessary to deploy the nation’s first exascale supercomputers. “Continued U.S. leadership in high performance computing is essential to our security, prosperity, and economic competitiveness as a nation,” said Secretary Perry. “These awards will enable leading U.S. technology firms to marshal their formidable skills, expertise, and resources in the global race for the next stage in supercomputing—exascale-capable systems.”