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Applied Parallel Programming | CUDA, OpenMP

Wen-mei Hwu, Sanjay Patel

Master parallel programming with CUDA, OpenMP, and other frameworks in this hands-on course covering parallel hardware, programming models, and algorithm design.

University CoursesCudaProgramming

Introduction

This course covers the fundamentals of parallel programming, including parallel hardware architectures, parallel programming models, and parallel algorithm design. It provides hands-on experience with parallel programming using CUDA, OpenMP, and other parallel programming frameworks.

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Highlights

  • Covers parallel hardware architectures, programming models, and algorithm design
  • Provides practical experience with CUDA, OpenMP, and other parallel programming frameworks
  • Taught by experienced instructors Wen-mei Hwu and Sanjay Patel

Recommendation

This course is recommended for students and professionals interested in parallel computing, high-performance computing, and GPU programming. It is suitable for those with a background in computer science or electrical engineering who want to gain practical skills in parallel programming.

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