High Performance computing for mathematical models Université Grenoble Alpes
In this course, we will introduce parallel programming paradigms to the students in the context of applied mathematics. The students will learn to identify the parallel pattern in numerical algorithm. Introduction to parallelism, Models of parallel programming, Programming tools: OpenMP, OpenMPI
Applications in bioinformatics, computer vision, text mining, audio processing, etc.
C or C++, Compiling, Data structures, Architecture, Concurrency
Online Course Requirement
Course content can evolve at any time before the start of the course. It is strongly recommended to discuss with the course contact about the detailed program.
Please consider the following deadlines for inbound mobility to Grenoble:
- April 1st, 2020 for Full Year (September to June) and Fall Semester (September to January) intake ;
- September 1st, 2020 for Spring Semester intake (February – June).
Site for Inquiry
Please inquire about the courses at the address below.
Contact person: email@example.com