Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Subscribe
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
Introduction to MPI - Collective Communications
Rating: 5.0 out of 5(1 rating)
220 students

Introduction to MPI - Collective Communications

Learn Collective Communications in the realm of Message Passing Interface (MPI)
Created byLucas Bazilio
Last updated 3/2024
English

What you'll learn

  • Become an advanced, confident, and modern MPI developer from scratch
  • Become job-ready by understanding how MPI really works behind the scenes
  • MPI fundamentals: communication, opeations, processes, etc.
  • How to think and work like a developer: problem-solving, researching, workflows
  • Get fast and friendly support in the Q&A area

Course content

6 sections • 14 lectures • 4h 55m total length

  • Introduction to the Course0:38

    On this lecture we introduce the course.

Requirements

  • No coding experience is necessary to take this course! I take you from beginner to expert!
  • Any computer and OS will work — Windows, macOS or Linux. We will set up your code environment in the course.

Description

Dive into the realm of high-performance computing with our comprehensive course, "Learn Advanced MPI." Designed for seasoned programmers, researchers, and scientists, this course offers an in-depth exploration of the Message Passing Interface (MPI) – a key technology for harnessing the full potential of parallel computing.

As computational demands continue to escalate, mastering Advanced MPI is essential for those seeking to optimize their code and scale applications efficiently across distributed computing environments. This course provides a hands-on, practical approach to mastering the intricacies of MPI, empowering participants to parallelize complex algorithms, streamline communication between processes, and enhance overall program performance.

Key Topics Covered:

  1. Advanced MPI Concepts: Gain a deep understanding of advanced MPI concepts, including derived datatypes, non-blocking communication, process topologies, and dynamic process management.

  2. Performance Optimization: Learn effective strategies for optimizing MPI programs, including load balancing, minimizing communication overhead, and leveraging collective operations for improved parallel efficiency.

  3. Debugging and Profiling: Acquire essential skills in debugging and profiling MPI applications using industry-standard tools, ensuring the identification and resolution of performance bottlenecks.

  4. Real-world Applications: Explore case studies and practical examples of MPI in action, demonstrating its application in various scientific, engineering, and data-intensive domains.

  5. Best Practices: Discover best practices for writing scalable and maintainable MPI code, ensuring long-term success in developing high-performance parallel applications.

By the end of this course, participants will possess the knowledge and skills needed to confidently tackle complex parallel computing challenges, making them valuable contributors to the ever-evolving landscape of scientific and computational research. Join us on the journey to mastering Advanced MPI and unlock the full potential of parallel computing for your projects and endeavors.

Who this course is for:

  • Programmers and Developers: Those seeking to enhance their parallel programming skills and optimize code for improved performance.
  • Researchers: Professionals engaged in scientific research requiring parallel computing for complex simulations and data analysis.
  • Data Scientists: Individuals looking to leverage parallel programming techniques for efficient data processing and analytics.
  • ----------

Report abuse