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Parallel Computing Course | Stanford CME 213 by Eric Darve

Sanjay Kale

Comprehensive introduction to parallel computing using MPI, OpenMP, and CUDA. Taught by an expert, with hands-on exercises and practical applications.

University CoursesProgramming

Introduction

This course provides an introduction to parallel computing using MPI, OpenMP, and CUDA. It covers the fundamental concepts and techniques of parallel programming, as well as practical applications in various scientific and engineering domains.

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Highlights

  • Covers three major parallel programming frameworks: MPI, OpenMP, and CUDA
  • Taught by Eric Darve, an expert in parallel computing
  • Includes hands-on exercises and projects to reinforce the concepts
  • Suitable for students and professionals interested in parallel computing

Recommendation

This course is highly recommended for anyone interested in learning about parallel computing and its practical applications. It provides a comprehensive introduction to the topic and equips learners with the necessary skills to effectively utilize parallel programming techniques in their work or research.

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