In this video from ISC 2018, Binay Ackalloor moderates a panel that explores the convergence of AI and HPC. “The next generation of supercomputers will provide scientists and researchers with powerful new tools to accelerate scientific discoveries and drive innovations. Intel is on the forefront of the convergence of artificial intelligence (AI), analytics, simulation and modeling and other HPC workloads that will drive the industry toward the next era in supercomputing.”
How Intel is Powering the Convergence of HPC & AI
In this video from ISC 2018, Binay Ackalloor from Intel describes how the company is powering the convergence of AI and HPC. “Artificial intelligence promises to transform more than just the way we do business – it will touch every corner of society. From using image recognition to enhance public security, to giving automated services a human touch with natural language processing, Intel Xeon processors are the foundation of today’s AI and tomorrow’s transformation.”
Computing Environments Options for Energy Exploration and Monitoring
This is the fourth entry in a five-part insideHPC series that takes an in-depth look at how machine learning, deep learning and AI are being used in the energy industry. Read on to learn more about computing environments options for energy exploration and monitoring.
Fujitsu to Showcase Post-K Supercomputer CPU Prototype at ISC 2018
Today Fujitsu unveiled details about their ARM-powered Post K exascale supercomputer, which is planned for deployment at RIKEN in Japan sometime in 2021. Fujitsu has now completed the prototype CPU chip for the machine, which may be the fastest ever commencing functionality field trials. “The Post K processor will likely become the most powerful general-purpose CPU ever for HPC and AI,” said Satoshi Matsuoka from RIKEN on his blog this week.
Technology Predictions for ISC 2018
In this special guest post, Dr. Rosemary Francis looks forward to the ISC 2018 conference, which starts next week in Frankfurt, Germany. “We recently saw the launch of Summit, the first 200 petaflop system – who will unveil the next giant machine? The race for exascale will certainly to continue to be a topic at ISC and we will be asking the vendors how their plans are progressing.”
Optimized HPC-AI cloud with OpenStack acceleration service and composable hardware
Shuquan Huang from 99Cloud gave this talk at the OpenStack Summit in Vancouver. “In this session, we will introduce OpenStack Acceleration Service – Cyborg, which provides a management framework for accelerator devices (e.g. FPGA, GPU, NVMe SSD). We will also discuss Rack Scale Design (RSD) technology and explain how physical hardware resources can be dynamically aggregated to meet the AI/HPC requirements.”
NVIDIA Releases Code for Accelerated Machine Learning
Today NVIDIA made a number of announcements centered around Machine Learning software at the Computer Vision and Pattern Recognition Conference in Salt Lake City. “NVIDIA is kicking off the conference by demonstrating an early release of Apex, an open-source PyTorch extension that helps users maximize deep learning training performance on NVIDIA Volta GPUs. Inspired by state of the art mixed precision training in translational networks, sentiment analysis, and image classification, NVIDIA PyTorch developers have created tools bringing these methods to all levels of PyTorch users.”
FlyElephant and Squadex team up for expansion in AI and HPC services
FlyElephant has announced its partnership with Squadex, a Cloud Transformation Consultancy, to extend AI & Big Data consulting services and reinforce teams. “Our cooperation will enable FlyElephant customers to get top-notch consulting services and support in deployment and customization of our platform, HPC or Big Data cluster in an AWS Cloud, development and optimization of machine learning models.”, said Dmitry Spodarets, Founder at FlyElephant and AI/ML & HPC Lead at Squadex. “FlyElephant will augment Squadex’ capabilities in HPC and AI areas, enabling synergies to create new types of services in these areas.”
The Evolution of Data Lakes
In this special guest feature, Glenn Graney, Director – Industrial & High Tech for QAD, suggests that manufacturers should be planning for all enterprise data sets to be part of the greater data lake. The transition to a data lake emphasizes flexible access to analysis tools and is less centered on data preparation. By definition, the data lake will be made up of a variety of data sources and the accessibility requirements and effort will only be defined at the time of the query.












