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Cloud Automation: Five Ways to Contain HPC Cloud Spending

This timely article from our friends over at Univa examines how the cloud is attractive for organizations that need fast access to specialized resources, and that want to avoid the cost and complexity of on-premise infrastructure. The article then offer five important ways that Cloud Automation can reduce cost.

Heterogeneous Computing: Long Live the CPU

In this guest article, our friends at Intel discuss how the company is investing in heterogeneous computing. Intel recently spoke about supporting heterogeneous computing with the catch phrase “One Size Does Not Fit All” in talking about software and Intel’s commitment to help programmers with oneAPI.

Taming the Cost of HPC in the Cloud

This timely article from our friends over at Univa examines methods for reigning in costs for managing HPC in the cloud, specifically moving beyond cloud automation to cloud expense management. Three proactive approaches for managing costs in the cloud are provided. Special focus is given to Univa’s Navops Launch which is among the first of a new generation of HPC cloud automation tools that combines multi-cloud provisioning, cloud-service expense management, and tight integrations with Univa Grid Engine, and open-source SLURM workload managers both widely used in HPC centers.

HPC in the Cloud Offers Flexible, Scalable Solutions for Enterprises and Research Institutions

In this guest article, our friends at Intel discuss how HPC as a Service (HPCaaS) reduces barriers to HPC and offers a cost-effective extension to on-premise solutions. High performance data analytics (HPDA), simulation and modeling, and artificial intelligence (AI) enable significant benefits like quicker business insights, the ability to design and bring products to market faster, or real-time monitoring of financial transactions for fraud.

Exploring the Performance Optimization and Productivity Project

The “quest” for improved performance is never over, if you want to remain competitive in your respective market. Your end users will undoubtedly call for more speed in the future, and the models your clients are building are likely bigger and more complex than ever. Enter the Performance Optimisation and Productivity (PoP) project.

7 Ways HPC Software Developers Can Benefit from Intel Software Investments

Intel has long focused on supporting HPC software. But, as the years have gone by, much has changed — and the company’s offerings have grown and evolved. A chapter from a recent edition of Parallel Universe Magazine, from this past July outlines this evolution and offers seven ways HPC software developers can benefit from Intel software investments. 

2019: The Year of PCI Express 4.0

Computer systems are about to get a whole lot faster. This year starting at the high end of the market a transition will begin toward systems based on PCI Express 4.0. The interconnect speed will double to 64GB/sec in a 16 lane connection. Tim Miller, Vice President Strategic Development for One Stop Systems, explores the expected speed and innovation stemming from the introduction of PCI Express 4.0. 

Podcast: How Real is Ai Anyway?

In this podcast, the Radio Free HPC team discusses AI, bias in AI, and just how real AI actually is. “Ethics in AI, policy, legal framework are all big threads here. The trigger is the rather funny article from The Register: Artificial Intelligence, You Know it isn’t real, yeah?”

Augmenting & Automating Operations in Government

The Air Force’s top training official said it is moving toward a new “paradigm” for how it teaches airmen to fly airplanes. A new special report from insideHPC, courtesy of Dell EMC and NIVIDA, explores current machine learning applications in government. This excerpt covers recent research on the potential of AI technology in the U.S. Federal government, as well as how government AI is being used in U.S.Air Force pilot training strategies.

Making Computer Vision Real Today – For Any Application

With the demand for intelligent vision solutions increasing everywhere from edge to cloud, enterprises of every type are demanding visually-enabled – and intelligent – applications. Up till now, most intelligent computer vision applications have required a wealth of machine learning, deep learning, and data science knowledge to enable simple object recognition, much less facial recognition or collision avoidance. That’s changed with the introduction of Intel’s Distribution of OpenVINO toolkit.