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High Performance Scientific Computing with C [Video]

By Benjamin Walter Keller
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What do you get with a Packt Subscription?
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50+ new titles added every month on new and emerging tech
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Mobile App with offline access
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50+ new titles added every month on new and emerging tech
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Customised display settings for better reading experience
50+ new titles added every month on new and emerging tech
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Mobile App with offline access
What do you get with a Packt Subscription?
This book & 6500+ ebooks & video courses on 1000+ technologies
60+ curated reading lists for various learning paths
50+ new titles added every month on new and emerging tech
Early Access to eBooks as they are being written
Personalised content suggestions
Customised display settings for better reading experience
50+ new titles added every month on new and emerging tech
Playlists, Notes and Bookmarks to easily manage your learning
Mobile App with offline access
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Download this book in EPUB and PDF formats
Access this title in our online reader
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What do you get with Audiobook?
Download a zip folder consisting of audio files (in MP3 Format) along with supplementary PDF
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Access these resources with our interactive certification platform
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About this video

In this course, you’ll learn to develop scientific and numerical programs that solve problems. It’s ideal for scientists, engineers, and programmers who need to model mathematical or physical systems. You’ll get a core toolkit of algorithms that can be used in a wide variety of applications, using the low-level capabilities of the C programming language.

The close-to-the-metal approach means you’ll learn to optimize our programs to get the absolute best performance that our hardware can provide. You’ll see how the design of algorithms affects their performance and accuracy, the tools that can be used to optimize your code and develop your intuition about numerical problems. Finally, you’ll examine the growing array of parallel solutions that enable you to take advantage of multi-core CPUs, distributed compute clusters and GPU accelerators.

By the end of this course, you’ll know how to write fast, accurate code that can run on many different platforms and solve many different scientific problems.

The code bundle for this video course is available at- https://github.com/PacktPublishing/High-Performance-Scientific-Computing-With-C

Style and Approach

A hands-on step-by-step approach that will take you through the important concepts of scientific and numerical computing with C.

Publication date:
August 2018
Publisher
Packt
Duration
2 hours 16 minutes
ISBN
9781789137842

About the Author
  • Benjamin Walter Keller

    Benjamin Walter Keller is currently a PhD candidate at McMaster University and gained his BSc in physics with a minor in computer science from the University of Calgary in 2011. His current research involves numerical modeling of galaxy evolution over cosmological timescales. As an undergraduate at the U of C, he worked on stacking radio polarization to examine faint extragalactic sources. He also worked in the POSSUM Working Group 2 to determine the requirements for stacking applications for the Australian SKA Pathfinder (ASKAP) radio telescope. He is particularly interested in questions involving stellar feedback (supernovae, stellar winds, and so on) and its impact on galaxies and their surrounding intergalactic medium.

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High Performance Scientific Computing with C [Video]
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