A few weeks ago, Rodolfo Azevedo and I presented a workshop entitled: High Performance Computing with CUDA. The workshop happened at WSCAD 2008 (Workshop em Sistemas Computacionais de Alto Desempenho), and was hosted at Campo Grande, MS, Brasil. WSCAD is an event in pt_BR, where people discuss in forums about Computer Architecture, High Performance Computing and Distributed Systems.
CUDA is the architecture and programming model created by NVIDIA and can be used in the 8 series, Tesla, Quadro and newer boards. CUDA is the NVIDIA version of “parallel programming language to rule them all”.
The workshop was divided in 2 days (1h30m each day) and covered the following topics:
- CUDA requirements and install process
- NVIDIA Serie 8 Architecture (Stream Processors, Multiprocessors, Memory Hierarchy, Internal Thread Management)
- Programming Model (C extensions, Built-in variables, Runtime API, Driver API)
- Code examples (Device probe, Event management, Math operations – matrix multiplication, …)
Several code examples were presented and some of them compiled and executed on-the-fly. We were provided with a dual GFORCE 8800 GTX – G80, so there was a way to do the demonstrations.