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How Deep Learning AI Models Augment and Accelerate HPC Simulations on Intel® Xeon® CPU Max Series

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Course Overview

We are witnessing the convergence and use of Artificial Intelligence (AI) in High-Performance Computing (HPC) due to the availability of large amounts of data and the rapid development and use of AI frameworks and models. This convergence has begun to reshape the landscape of scientific computing, enabling scientists to address problems in ways that were not possible before. A large number of HPC workloads are governed by the laws of physics, medical science, material science, etc. For example, take fluid flow using numerical methods for partial differential equations.

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Chapter 1: How Deep Learning AI Models Augment and Accelerate HPC Simulations on Intel® Xeon® CPU Max Series

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Chapter 1: How Deep Learning AI Models Augment and Accelerate HPC Simulations on Intel® Xeon® CPU Max Series

12:00 min

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Chapter Overview

We are witnessing the convergence and use of Artificial Intelligence (AI) in High-Performance Computing (HPC) due to the availability of large amounts of data and the rapid development and use of AI frameworks and models. This convergence has begun to reshape the landscape of scientific computing, enabling scientists to address problems in ways that were not possible before. A large number of HPC workloads are governed by the laws of physics, medical science, material science, etc. For example, take fluid flow using numerical methods for partial differential equations.