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Podcast: How Lenovo Intelligent Computing Orchestration is Simplifying HPC & AI

In this Intel on Ai Podcast, Dr. David Ellison from Lenovo describes the Lenovo Intelligent Computing Orchestration (LiCO). “Dr. Ellison explains how LiCO accelerates artificial intelligence training and traditional high performance computing (HPC) deployment by providing a single software solution that simplifies resource management and the use of a cluster environment. He discusses an exciting real-world deployment where data scientists use LiCO to help analyze satellite images of crop fields to drive drought prevention and increase food security.”

Video: Intel and Cray to Build First USA Exascale Supercomputer for DOE in 2021

Today Intel announced plans to deliver the first exaflop supercomputer in the United States. The Aurora supercomputer will be used to dramatically advance scientific research and discovery. The contract is valued at more than $500 million and will be delivered to Argonne National Laboratory by Intel and sub-contractor Cray in 2021. “Today is an important day not only for the team of technologists and scientists who have come together to build our first exascale computer – but also for all of us who are committed to American innovation and manufacturing,” said Bob Swan, Intel CEO.”

New Study: Algorithms based on deep neural networks can be applied to quantum physics

A computer science research group from the Hebrew University of Jerusalem has mathematically proven that artificial intelligence (AI) can help us understand currently unreachable quantum physics phenomena. The results have been published in Physical Review Letters. “Our research proves that the AI algorithms can represent highly complex quantum systems significantly more efficiently than existing approaches,” said Prof. Amnon Shashua, Intel senior vice president and Mobileye president and CEO.”

Video: A New Era in HPC

In this video from the 2019 Rice Oil & Gas conference, Trish Damkroger from Intel presents: A New Era in HPC. “In this keynote presentation, Trish will discuss the changing landscape of high performance computing, key trends, and the convergence of HPC-AI-HPDA that is transforming our industry and will fuel HPC to fulfill its potential as a scientific tool for business and innovation. Trish will highlight not only key forces driving this shift but discuss how this transformation requires a fundamental paradigm shift and is opening up unprecedented opportunities for HPC.”

Agenda Posted for Dell EMC Community Event in Austin

The Dell EMC Community Meeting has published their preliminary speaker agenda. The event takes place March 25-27 in Austin, Texas. The Dell HPC Community is a worldwide technical forum that facilitates the exchange of ideas among researchers, computer scientists, executives, developers, and engineers and promotes the advancement of innovative, powerful HPC solutions. The vision of the […]

Podcast: The sinking of the Itanic, a respectful farewell

In this podcast, the Radio Free HPC says goodbye to Intel’s Itanium processor. “After years of futility, Intel has finally put a stake in the heart of their Itanium processor. The final shipment will take place in 2021. The boys discuss some Itanium history and reasons behind the end of the processor.”

A Look Ahead at Disruptive Technologies for HPC

In this special guest feature from Scientific Computing World, Robert Roe looks at technology that could disrupt the HPC ecosystem. “As the HPC industry reaches the end of technology scaling based on Moore’s Law, system designers and hardware manufacturers must look towards more complex technologies that can replace the gains in performance provided by transistor scaling.”

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.”

Podcast: How Intel powers Dell EMC Ready Solutions for Ai

In this Intel podcast, Adnan Khaleel describes how Dell EMC is making enterprise AI implementation fast and easy with its Dell EMC Ready Solutions for AI. Adnan also illustrates how Dell EMC Ready Solutions are well suited for many different industries including financial services, insurance, pharmaceuticals and many more.

Improving HPC Performance with the Roofline Model

“When we are optimizing our objective is to determine which hardware resource the code is exhausting (there must be one, otherwise it would run faster!), and then see how to modify the code to reduce its need for that resource. It is therefore essential to understand the maximum theoretical performance of that aspect of the machine, since if we are already achieving the peak performance we should give up, or choose a different algorithm.”