Abstract: Today, many software applications require intensive and efficient use of available computing resources. Parallel computing is key to fully leveraging the potential of these systems. By ...
There are two main branches of technical computing: machine learning and scientific computing. Machine learning has received a lot of hype over the last decade, with techniques such as convolutional ...
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Not only do professionals and students need to manipulate and process data, but they also need to communicate with hardware such as smart thermostats, doorbell cameras, smart lighting, and more.
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Abstract: This paper describes how we use n-body simulations as an interesting and visually compelling way to teach efficient, parallel, and distributed programming. Our first course focuses on ...
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New service allows customers who build scientific and engineering models to quickly and easily set up and manage high performance computing infrastructure to accelerate R&D at scale Marvel Fusion, ...