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Simplifying HPC Software Stack Management

While most of the fundamental HPC system software building blocks are now open source, dealing with the sheer number of components and their inherently complex interdependencies has created a barrier to adoption of HPC for many organizations. This is the first article in a four-part series that explores using Intel HPC Orchestrator to solve HPC software stack management challenges.

Accelerating Quantum Chemistry for Drug Discovery

In the pharmaceutical industry, drug discovery is a long and expensive process. This sponsored post from Nvidia explores how the University of Florida and University of North Carolina developed an anakin-me neural network engine to produce computationally fast quantum mechanical simulations with high accuracy at a very low cost to speed drug discovery and exploration.

Supporting Diverse HPC Workloads on a Single Cluster

 High Performance Computing is extending its reach into new areas. Not only are modeling and simulation being used more widely, but deep learning and other high performance data analytics (HPDA) applications are becoming essential tools across many disciplines. This sponsored post from Intel explores how Plymouth University’s High Performance Computer Centre (HPCC) used Intel HPC Orchestrator to support diverse workloads as it recently deployed a new 1,500-core cluster. 

Common Myths Stalling Organizations From Cloud Adoption

Cloud adoption is accelerating at the blink of an eye, easing the burden of managing data-rich workloads for enterprises big and small. Yet, common myths and misconceptions about the hybrid cloud are delaying enterprises from reaping the benefits. “In this article, we will debunk five of the top most commonly believed myths that keep companies from strengthening their infrastructure with a hybrid approach.”

GPUs Accelerate Population Distribution Mapping Around the Globe

With the Earth’s population at 7 billion and growing, understanding population distribution is essential to meeting societal needs for infrastructure, resources and vital services. This article highlights how NVIDIA GPU-powered AI is accelerating mapping and analysis of population distribution around the globe. “If there is a disaster anywhere in the world,” said Bhaduri, “as soon as we have imaging we can create very useful information for responders, empowering recovery in a matter of hours rather than days.”

Solving AI Hardware Challenges

For many deep learning startups out there, buying AI hardware and a large quantity of powerful GPUs is not feasible. So many of these startup companies are turning to cloud GPU computing to crunch their data and run their algorithms. Katie Rivera, of One Stop Systems, explores some of the AI hardware challenges that can arise, as well as the new tools designed to tackle these issues. 

The Intel Scalable System Framework: Kick-Starting the AI Revolution

Like many other HPC workloads, deep learning is a tightly coupled application that alternates between compute-intensive number-crunching and high-volume data sharing. Intel explores how the Intel Scalable System can act as a solution for a high performance computing platform that can run deep learning workloads and more. 

A Simpler Path to Reliable, Productive HPC

HPC is becoming a competitive requirement as high performance data analysis (HPDA) joins multi-physics simulation as table stakes for successful innovation across a growing range of industries and research disciplines. Yet complexity remains a very real hurdle for both new and experienced HPC users. Learn how new Intel products, including the Intel HPC Orchestrator, can work to simplify some of the complexities and challenges that can arise in high performance computing environments. 

Unlike Oil and Water, Legacy and Cloud Mix Well

Despite the cloud hype, legacy HPC apps are alive and well. While it may seem like they can’t mix, the process of bursting these applications to the cloud is bringing these staples to cloud table. Avoiding rewrites can efficiently bring immediate HPC cloud benefits to organizations big and small. “Many technologies and solutions now available allow for the functional and highly efficient coordination and connection between legacy applications and the well-known advantages of the cloud.”

DeepSat: Monitoring the Earth’s Vitals with AI

In order to better keep a finger on the pulse of the Earth’s health, NASA developed DeepSat, a deep learning AI framework for satellite image classification and segmentation. DeepSat provides vital signs of changing landscapes at the highest possible resolution, enabling scientists to use the data for independent modeling efforts.