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The Infinite Memory Engine – Unlocking the Potential of NVMe

In this video from DDN booth at SC18, John Bent from DDN presents: IME – Unlocking the Potential of NVMe. “DDN’s Infinite Memory Engine (IME) is a scale-out, software-defined, flash storage platform that streamlines the data path for application I/O. IME interfaces directly to applications and secures I/O via a data path that eliminates file system bottlenecks. With IME, architects can realize true flash-cache economics with a storage architecture that separates capacity from performance.”

Video: AMD Steps up with renewed focus on High Performance Computing

In this video from CES 2019, AMD President and CEO Dr. Lisa Su describes how the new AMD EPYC processors are changing the game for High Performance Computing. “This is an incredible time to be in technology as the industry pushes the envelope on high-performance computing to solve the biggest challenges we face together,” said Su. “At AMD, we made big bets several years ago to accelerate the pace of innovation for high-performance computing, and 2019 will be an inflection point for the industry as we bring these new products to market.”

IBM rolls out Quantum Computer for Commercial Use

Today IBM unveiled IBM Q System One, the world’s first integrated universal approximate quantum computing system designed for scientific and commercial use. “The IBM Q System One is a major step forward in the commercialization of quantum computing,” said Arvind Krishna, senior vice president of Hybrid Cloud and director of IBM Research. “This new system is critical in expanding quantum computing beyond the walls of the research lab as we work to develop practical quantum applications for business and science.”

Call for Papers: High Performance Machine Learning Workshop (HPML2019) in Cyprus

The 2nd High Performance Machine Learning Workshop (HPML2019) has issued their Call for Papers. The May 14 workshop will be collocated with CCGrid (19th IEEE/ACM International Symposium in Cluster, Cloud, and Grid Computing) in Cyprus. “This workshop is intended to bring together the Machine Learning (ML), Artificial Intelligence (AI) and High Performance Computing (HPC) communities. In recent years, much progress has been made in Machine Learning and Artificial Intelligence in general. This progress required heavy use of high performance computers and accelerators. Moreover, ML and AI have become a “killer application” for HPC and, consequently, driven much research in this area as well. These facts point to an important cross-fertilization that this workshop intends to nourish.”

Michael Feldman Joins The Next Platform as Senior Editor

Veteran HPC journalist Michael Feldman has departed TOP500.org to join The Next Platform as Senior Editor. Led by co-founders Nicole Hemsoth and Timothy Prickett Morgan, offers in-depth coverage of high-end computing at large enterprises, supercomputing centers, hyperscale data centers, and public clouds. “My new role also reunites me with some old friends, who just happen to be some of the best writers in the business,” says Feldman. “Not surprisingly, my focus will be on HPC and all things related. These days, that covers a lot of territory since in many ways HPC has provided a useful model for other subject matter that is under the purview of The Next Platform, namely hyperscale, cloud, and high-end enterprise computing.”

Video: Reimagining the Datacenter Memory and Storage Hierarchy

In this video from DDN booth at SC18, Andrey Kudryavtsev from Intel presents: Reimagining the Data Centre Memory and Storage Hierarchy. “Intel Optane DC persistent memory represents a new class of memory and storage technology architected specifically for data center usage. One that we believe fundamentally breaks through some of the constricting methods for using data that have governed computing for more than 50 years.”

Case Study: Deep Learning For Fluid Flow Prediction In The Cloud

In this special guest feature, Wolfgang Gentzsch from the UberCloud writes that a new case study shows how Ai can aid CAE. “Solving computational fluid dynamics (CFD) problems is demanding both in terms of computing power and simulation time, and requires deep expertise in CFD. In this UberCloud project #211, an Artificial Neural Network (ANN) has been applied to predicting the fluid flow given only the shape of the object that is to be simulated.”

Video: Accelerating Ai Outcomes with the NVIDIA DGX Reference Architecture

In this video from DDN booth at SC18, Jacques Bessoudo from NVIDIA presents: Accelerating Ai Outcomes with the NVIDIA DGX Reference Architecture. “DDN is focused on solutions that enable customers to radically accelerate their AI and Machine Learning initiatives to gain competitive advantage sooner and to scale flexibly,” said James Coomer, vice president of product management at DDN. “We have taken a holistic approach to this solution, ensuring that the DGX platform is maximally utilized and that customers can extract deeper insights more quickly.”

Radio Free HPC Reviews Highlights from the CHPC Conference in South Africa

In this podcast, the Radio Free HPC team looks back at the highlights of the 2018 CHPC Conference in South Africa. With over 500 attendees, the event featured a set of keynotes on high performance computing as well as a Student Cluster Challenge and a Cyber Security Competition.

Video: Quo vadis HPC – Facing the Future

In this talk from Computing Systems Week in Heraklion, Bastian Koller from the University of Stuttgart / HLRS asks whether HPC has come to a dead-end in Europe. He argues that real-life uses for applications are more important than having computing power for the sake of it, and suggests directions to take. “HPC and HPC Ecosystems are quickly evolving. Whereas the HPC community has a long history and is partially seen as as “dinosaur”, we see a lot of developments around HPC, namely HPDA, Deep Learning, Machine Learning etc. This keynote will have a glance on where we are today, technological trends and show with examples, how the communities around applications need to be supported to get ready for the new Era of High Performance Star (HP*), which covers the next evolution step of supercomputing.”