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Programming Novel AI Accelerators for Scientific Computing - Part 2 - Tutorial 5

Offered By: MICDE University of Michigan via YouTube

Tags

Scientific Computing Courses Programming Courses Machine Learning Courses Neural Networks Courses FPGA Courses High Performance Computing Courses GPU Computing Courses Hardware Acceleration Courses

Course Description

Overview

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Explore advanced techniques for programming AI accelerators in scientific computing applications in this comprehensive tutorial. Delve into cutting-edge methodologies and best practices for optimizing performance on novel hardware architectures. Learn how to leverage the full potential of AI accelerators to enhance computational efficiency in scientific simulations and data analysis. Gain valuable insights from expert Sid Raskar as he guides you through practical examples and real-world scenarios. Discover strategies for overcoming common challenges and maximizing the capabilities of these specialized processors in the context of scientific research and development.

Syllabus

Sid Raskar: Programming Novel AI Accelerators for Scientific Computing Part 2 (Tutorial 5)


Taught by

MICDE University of Michigan

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