Introduction to MPI Collective Communications

Introduction to MPI – Collective Communications, available at $19.99, has an average rating of 5, with 15 lectures, based on 1 reviews, and has 209 subscribers.

You will learn about 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 This course is ideal for individuals who are Programmers and Developers: Those seeking to enhance their parallel programming skills and optimize code for improved performance. or Researchers: Professionals engaged in scientific research requiring parallel computing for complex simulations and data analysis. or Data Scientists: Individuals looking to leverage parallel programming techniques for efficient data processing and analytics. or - It is particularly useful for Programmers and Developers: Those seeking to enhance their parallel programming skills and optimize code for improved performance. or Researchers: Professionals engaged in scientific research requiring parallel computing for complex simulations and data analysis. or Data Scientists: Individuals looking to leverage parallel programming techniques for efficient data processing and analytics. or -.

Enroll now: Introduction to MPI – Collective Communications

Summary

Title: Introduction to MPI – Collective Communications

Price: $19.99

Average Rating: 5

Number of Lectures: 15

Number of Published Lectures: 14

Number of Curriculum Items: 15

Number of Published Curriculum Objects: 14

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

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.

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Target Audiences

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.

-

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.

Course Curriculum

Chapter 1: Course Introduction

Lecture 1: Introduction to the Course

Chapter 2: Collective Communications

Lecture 1: Collective Operations

Lecture 2: Gather and Scatter Operations

Lecture 3: Parallel Sum Calculation

Lecture 4: Introduction to MPI_Allgather

Lecture 5: Parallel Maximum Element Search

Lecture 6: MPI Reduce Operations

Chapter 3: Solved Problems – Collective Communications

Lecture 1: Problem 1 – Average Computation

Lecture 2: Problem 2 – Parallel Data Transformation

Chapter 4: Packing

Lecture 1: Sharing Data

Chapter 5: Non-blocking Operations

Lecture 1: Introduction to Non-blocking Operations

Lecture 2: Non-blocking Operations Application

Chapter 6: Final Exams

Lecture 1: Exam 1

Lecture 2: Exam 2

Instructors

Lucas Bazilio
Engineer and Mathematician

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5 stars: 1 votes

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