Multi-core and GPU programming

How can we take advantage of the computing power of today's computers? This course is an introduction to algorithmic, software and hardware techniques for programming machines with multiple cores and/or gas pedals such as graphics processing units (GPUs). In other words, the aim is to understand how to exploit the parallel processing capabilities offered by hardware.
Outline

interests and basic notions of parallelism, computation granularity and load balancing
general architecture of multicore computers and graphics cards
general algorithmic techniques for parallelization
essential languages and libraries for programming multicore architectures
impact of architecture and compilation on programming: towards performance portability
programming heterogeneous machines equipped with specialized processors (e.g. GPUs)

Programming in C language

This course covers the following topics:
- interest in and basic concepts of parallelism, computational granularity and load balancing
- general architecture of multicore computers and graphics cards
- general algorithmic techniques for parallelization
- essential languages and libraries for programming multicore architectures
- impact of architecture and compilation on programming: towards performance portability
- programming heterogeneous machines equipped with specialized processors (e.g. GPUs).g. GPUs).