General-purpose programming on GPU

Course presentation

Giuseppe Bilotta, Eugenio Rustico, Alexis Hérault

DMI — Università di Catania
Sezione di Catania — INGV

Course presentation

Outline

• C and C++ programming basics
• History of graphic cards and GPGPU
• GPGPU programming basics; introduction to CUDA
• High-level CUDA programming: the CUDA runtime
• Benchmarking, optimization and debugging
• Low-level CUDA programming: the CUDA driver interface
• OpenCL basics and heterogeneous GPGPU programming
• Introduction to multi-GPU

Lesson structure

Introductory lessons

2/3rds frontal (blah blah)

1/3rd practice

Hands-on lessons

1/3rd frontal (blah blah)

2/3rds practice

Things you should have

• 2 hours of attention span
• knowledge of at least one programming language

You can either use a lab computer, or your own laptop if it has

• a CUDA card (NVIDIA GeForce 8800 or later)
• development tools (C compiler, CUDA toolkit and SDK)