Brendan McGinty is Director of Industry for the National Center for Supercomputing Applications (NCSA), University of Illinois at Urbana-Champaign.
When you imagine what visualisation is in the world of HPC, most people think of astronomy, such as images of galaxies or black holes, or they think of weather, like analyses of tornadoes or hurricanes. Astronomical and atmospheric data is huge, requires HPC to analyse, and can make for amazing, sophisticated visualisations.
Consisting of the combination of biology, computer science, and mathematics, the science of bioinformatics has advanced rapidly in recent years. Thanks in part to HPC (high performance computing) and the expanding knowledge of and expertise in how to collect and analyse growing datasets, industries from agriculture to healthcare and more are experiencing the benefits of a bioinformatics revolution.
This article will provide examples of bioinformatics in industry and describe advancements in applications and compute power that have helped to raise the impact of bioinformatics to new heights that are changing the world.
How data is collected and analysed is changing at exponential rates. In industry — and I know this from talking and consulting with hundreds of companies — so much data is being collected that many companies are either confused with, or overwhelmed by, all of the ways to leverage and analyse their data.
In the early days of industrial high-performance computing (HPC), modeling and simulation (M&S) was, in many ways, the stalwart - the ideal domain area where companies could leverage advanced computing resources. Today, a confluence of traditional HPC M&S with artificial intelligence (AI) is occurring, changing the solution set significantly. Let's look at this in more detail...
SC: The big show with an international HPC audience celebrates its 30th year in 2018. It’s the World Cup of supercomputing and now it’s more than “just” supercomputing. Advancements in data analytics have topics like artificial intelligence (AI), including machine learning and deep learning, as stars of the show. Here's what I am looking forward to seeing in Dallas...
Deep learning is a current hot topic in HPC and I am sure it will be one of the key themes at SC18. In many cases, we have been hearing about artificial intelligence, machine learning, and deep learning discussed together, though in reality, machine learning is a type of AI, and deep learning is a subset of machine learning. In this article, we will try to best define deep learning and its industrial applications and, more specifically, the benefits of scale - from big data to high-performance computing - to the successful implementation of deep learning.
Data-intensive research and the use of advanced digital resources are key to addressing research grand challenges of our age, for the benefit of science, society, and industry. This article focuses on industrial opportunities, including potentially neglected applied research topics, and how access to high-performance computing (HPC) can provide companies with a competitive advantage.
As we build-up to SC18, Verne Global is delighted to welcome Brendan McGinty, Director of Industry for the National Center for Supercomputing Applications (NCSA), University of Illinois at Urbana-Champaign, as a Guest Blogger. In his first blog Brendan looks at the industry trends around supercomputing and industrial HPC, and how these are advancing innovation in key markets.