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NEC Accelerates Machine Learning with Vector Computing

In this video from ISC 2018, Takeo Hosomi from NEC describes how vector computing can accelerate Machine Learning workloads. “Machine learning is the key technology for data analytics and artificial intelligence. Recent progress in this field opens opportunities for a wide variety of new applications. Our department has been at the forefront of developments in such areas as deep learning, support vector machines and semantic analysis for over a decade. Many of our technologies have been integrated in innovative products and services of NEC.”

Why the World is Starting to look like a Giant HPC Cluster

“AI, machine learning, is not a (traditional) HPC workload. However, it takes an HPC machine to do it. If you look at HPC, generally, you take a model or things like that, you turn it into an extraordinarily large amount of data, and then you go find some information for that data. Machine learning, on the other hand, takes an extraordinarily large amount of information and collapses it into an idea or a model.”

Enhancing Diagnostic Quality and Productivity with AI

This report delves into many advances in clinical imaging being introduced through AI. The activity today is mostly focused on working with the current computational environment that exists in the radiologist’s laboratory, and examines how advanced medical instruments and software solutions that incorporate AI can augment a radiologist’s work. Download the new white paper from NVIDIA that explores increasing productivity with AI and how tools like deep learning can enhance offerings and cut down on cost. 

Xilinx Acquires DeePhi Tech, a Machine Learning Startup based in China

Today FPGA maker Xilinx announced that it has acquired DeePhi Technology, a Beijing-based privately held start-up with industry-leading capabilities in machine learning, specializing in deep compression, pruning, and system-level optimization for neural networks. “Xilinx will continue to invest in DeePhi Tech to advance our shared goal of deploying accelerated machine learning applications in the cloud as well as at the edge.”

NEC Accelerates HPC with Vector Computing at ISC 2018

In this video from ISC 2018, Oliver Tennert from NEC Deutschland GmbH introduces the company’s vector computing technologies for HPC and Machine Learning. “The NEC SX-Aurora TSUBASA is the newest in the line of NEC SX Vector Processors with the worlds highest memory bandwidth. The Processor that is implemented in a PCI-e form factor can be configured in many flexible configurations together with a standard x86 cluster.”

Supermicro Steps up to HPC & AI Workloads at ISC 2018

In this video from ISC 2018, Perry Hayes and Martin Galle from Supermicro describe the company’s latest innovations for HPC and AI workloads. “Supermicro delivers the industry’s fastest, most powerful selection of HPC solutions offering even higher density compute clusters to deliver maximum parallel computing performance for any science and engineering, simulation, modeling, or analytics applications,” said Charles Liang, president and CEO of Supermicro.

Quantum Corporation Optimizes Data Intensive Workloads at ISC 2018

In this video from ISC 2018, Laura Shepard and Jason Coari from Quantum Corporation describe how the company’s high speed storage solutions power AI & HPC applications. “At ISC, Quantum highlighted end-to-end storage capabilities for large-scale HPC environments. Quantum offerings featured at their exhibit included high-performance Xcellis scale-out storage appliances to support data-intensive processing workflows, and StorNext HSM for automated migration of extremely large data sets to cost-effective storage tiers such as tape, object storage and the cloud.”

Podcast: Deep Learning for Scientific Data Analysis

In this NERSC News Podcast, Debbie Bard from NERSC describes how Deep Learning can help scientists accelerate their research. “Deep learning is enjoying unprecedented success in a variety of commercial applications, but it is also beginning to find its footing in science. Just a decade ago, few practitioners could have predicted that deep learning-powered systems would surpass human-level performance in computer vision and speech recognition tasks.”

ISC 2018: NVIDIA DGX-2 — The World’s Most Powerful AI System on Display

In this video, Satinder Nijjar from NVIDIA describes the new DGX-2 GPU supercomputer. “Experience new levels of AI speed and scale with NVIDIA DGX-2, the first 2 petaFLOPS system that combines 16 fully interconnected GPUs for 10X the deep learning performance. It’s powered by NVIDIA DGX software and a scalable architecture built on NVIDIA NVSwitch, so you can take on the world’s most complex AI challenges.”

DDN Steps Up to HPC & AI Workloads at ISC 2018

In this video from ISC 2018, James Coomer from DDN describes the company’s latest high performance storage technologies for AI and HPC workloads. “Attendees at ISC 2018 learned how organizations around the world are leveraging DDN’s people, technology, performance and innovation to achieve their greatest visions and make revolutionary insights and discoveries! Designed, optimized and right-sized for Commercial HPC, Higher Education and Exascale Computing, our full range of  DDN products and solutions are changing the landscape of HPC and delivering the most value with the greatest operational efficiency.”