FDD3015 Introduktion till programmering med GPGPU och användning för vetenskapliga beräkningar 7,5 hp

Part 1: Introduction, Basic programming

• introduction to CUDA and the device architecture of GPGPU
• the programming of GPGPU devices
• performance optimization and application examples.

Part 2: Scientific Programming

• libraries for the development of parallel numeric algorithms
• parallelization of numerical algorithms.

Assignments:

Part 1: One smaller and one larger programming project combined with questions to explain the used technology

Part 2: One programming project combined with questions to explain the used approach.

The overall goal of the course is to give basic knowledge of the theory, hardware, and software approaches to parallel computing with GPGPU. Especially, hardware and software challenges plus the interactions between them, as well as exposure to research challenges in this field will be emphasized.

The course consists of two parts. Part 1 (4,5 hp) provides the introduction to the field, a detailed look at the device architecture, the basic programming considerations plus the presentation of possibilities to do performance optimizations. Part 2 (3,0 hp) introduces the software tools for the development of numerical applications and examples of algorithms from the field of scientific coomputing.

After the course you will be able to:

• understand the properties of GPGPU devices
• reason about the performance of programs running on it
• assess the potential and limitations of using a GPGPU
• write parallel programs for GPGPU.

Programming experience in C.

När kurs inte längre ges har student möjlighet att examineras under ytterligare två läsår.

Examinator beslutar, baserat på rekommendation från KTH:s handläggare av stöd till studenter med funktionsnedsättning, om eventuell anpassad examination för studenter med dokumenterad, varaktig funktionsnedsättning.

Examinator får medge annan examinationsform vid omexamination av enstaka studenter.

Erwin Laure

• Vid grupparbete har alla i gruppen ansvar för gruppens arbete.
• Vid examination ska varje student ärligt redovisa hjälp som erhållits och källor som använts.
• Vid muntlig examination ska varje student kunna redogöra för hela uppgiften och hela lösningen.