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Intro to Parallel Programming

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Track :

Programming

Lessons no : 8

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What will you learn in this course?
  • Master how to design and implement parallel algorithms for high-performance computing and data processing tasks using modern programming languages
  • Optimize code for multi-core and distributed systems to improve execution speed and resource utilization in real-world applications
  • Identify suitable parallel programming models and frameworks such as MPI, OpenMP, and CUDA for various computational problems
  • Analyze and troubleshoot parallel programs to ensure correctness, efficiency, and scalability in complex computing environments
  • Apply best practices for data synchronization, load balancing, and communication in parallel computing projects
  • Evaluate the performance of parallel applications using profiling tools and techniques to enhance computational efficiency

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Lessons | 8


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Parallel computing is a type of computing architecture in which several processors simultaneously execute multiple, smaller calculations broken down from an overall larger, complex problem.