Course

MATH-454: Parallel and high-performance computing

Summary

This course provides insight into a broad variety of High Performance Computing (HPC) concepts and the majority of modern HPC architectures. Moreover, the student will learn to have a feeling about what architectures are suited for several types of algorithms and learn to program for them.

Lectures

Instructor

Pablo Antolin Sanchez

Teaching & PhD PhD Students Philipp Christoph Weder, Davor Dobrota Past EPFL PhD Students as codirector Ondine Chanon Courses Analysis III MATH-202(c) The course studies the fundamental concepts of vector analysis and Fourier-Laplace analysis with a view to their use in solving multidisciplinary problems in scientific engineering. Analysis III (for IC) MATH-203(d) The course studies the fundamental concepts of vector analysis and Fourier-Laplace analysis with a view to thei

Official source

https://edu.epfl.ch/coursebook/en/parallel-and-high-performance-computing-MATH-454

Moodle Page

http://go.epfl.ch/MATH-454

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Summary

Lectures

Instructor

Pablo Antolin Sanchez

Official source

https://edu.epfl.ch/coursebook/en/parallel-and-high-performance-computing-MATH-454

Moodle Page

http://go.epfl.ch/MATH-454

About this result

Lectures in this course (7)

Hybrid Programming Models Comparison

Compares hybrid programming models, discusses project proposals, and emphasizes the importance of considering physical topology in application development.

Conjugate Gradient Method: Solving Linear Systems

Covers the Conjugate Gradient method for solving linear systems without pre-conditioning, exploring parallel computing implementations and performance predictions.

GPU Advanced: Memory Management and Optimization

Explores advanced GPU memory management, CUDA programming, and data-parallel computing for optimizing performance.

GPU Introduction: Performance and Programming

Explores the motivation and advantages of using GPUs for computation, focusing on their performance and programming through CUDA.

MPI Basics: Point-to-Point and Collective Communications

Covers the basics of MPI, including point-to-point and collective communications, synchronizations, and avoiding race conditions.

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