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IEEE Approves Standards Project for Quantum Computing Definitions

“While Quantum Computing is poised for significant growth and advancement, the emergent industry is currently fragmented and lacks a common communications framework,” said Whurley (William Hurley), chair, IEEE Quantum Computing Working Group. “IEEE P7130 marks an important milestone in the development of Quantum Computing by building consensus on a nomenclature that will bring the benefits of standardization, reduce confusion, and foster a more broadly accepted understanding for all stakeholders involved in advancing technology and solutions in the space.”

Podcast: A Look at the Intel Nervana Platform for AI

In this Chip Chat podcast, Dr. Naveen Rao describes his work at the Artificial Intelligence Products Group (AIPG) at Intel. “The Intel Nervana Platform includes what you need to design, develop, and deploy state-of-the-art deep learning models. There’s no need for you to download multiple frameworks and libraries and to troubleshoot complex integration issues. Everything you need is included and “just works” to make building AI solutions as easy as possible.”

New Study Uncovers Best Practices for Effective Partnerships between Public HPC Centers and Industrial Users

Today NCSA and Hyperion Research released a new study that examines HPC and Industry partnerships. Aimed at identifying and understanding best practices in partnerships between public high performance computing centers and private industry, the study aims to promote the vital transfer of scientific knowledge to industry and the important transfer of industrial experience to the scientific community.

Intel Xeon Scalable Processors Speed Altair RADIOSS with Hyperworks

In this video, Piush Patel describes how Intel Xeon Scalable Processors speed up Altair RADIOSS structural simulations with Hyperworks. “RADIOSS is a leading structural analysis solver for highly non-linear problems under dynamic loadings. It is used across all industries worldwide to improve the crashworthiness, safety, and manufacturability of structural designs.”

PRACE Offers Supercomputing 101 Course

PRACE is offering an online Supercomputing 101 course through the Future Learn program. This free online course will introduce you to what supercomputers are, how they are used and how we can exploit their full computational potential to make scientific breakthroughs. “Using supercomputers, we can now conduct virtual experiments that are impossible in the real world.”

Radio Free HPC Looks at Eclipse Simulations

In this podcast, the Radio Free HPC team discusses the eclipse and how researchers are using supercomputers to simulate the corona of the sun at eclipse time. After that, look at the the top Technology stories in our Catch of the Week:

Job of the Week: Senior HPC Administrator at DownUnder GeoSolutions

DownUnder GeoSolutions (America) is seeking a Senior HPC Administrator in our Job of the Week. “If you are passionate about leading edge technology you will love this role. What you will receive, along with a fantastic group of colleagues who will support and encourage you is the chance to be working on one of the largest private clusters in the world!”

Video: What is Wrong with Convolutional Neural Nets?

Geoffrey Hinton from the University of Toronto gave this talk at the Vector Institute. “What is Wrong with ‘standard’ Convolutional Neural Nets? They have too few levels of structure: Neurons, Layers, and Whole Nets. We need to group neurons in each layer in ‘capsules’ that do a lot of internal computation and then output a compact result.”

Video: Customers Leverage HPE & Intel Alliance for HPC

“Meeting the Enterprise Challenges of HPC System developers and users face obstacles deploying complex new HPC technologies, such as: energy efficiency, reliability and resiliency requirements, or developing software to exploit HPC hardware. All can delay HPC adoption. But the HPC Alliance will help. HPE and Intel will collaborate with you on workstream integration, solution sizing and software-to-hardware integration. We will help, whether you seek ease of everything, to mix workloads, or have fast-growing, increasingly complex systems.”

Video: Deep Learning on Azure with GPUs

In this video, you’ll learn how to start submitting deep neural network (DNN) training jobs in Azure by using Azure Batch to schedule the jobs to your GPU compute clusters. “Previously, few people had access to the computing power for these scenarios. With Azure Batch, that power is available to you when you need it.”