Pragmatic optimization

1. Pragmatic optimization - Ordering optimization approaches
   
   
2. Pragmatic optimization - Demystifying a Compiler
   
   
3. Pragmatic optimization - Mastering compiler optimizations
4. Pragmatic optimization - Modern computer architecture concepts

Code GPU with CUDA

This is a list of presentations for my course about NVIDIA GPU architecture. The main aims of this course are

• explaining details and unique properties of the architecture;
• advising useful optimization approaches for it.

The first presentation explains key properties of the architecture. The second one describes the concepts of CUDA's programming, execution and memory models. The third presentation highlights the main optimization principle. The fourth presentation describes the memory architecture in details. The fifth gives concrete pieces of advice for optimizers about dealing with SIMT GPUs. The sixth presentation gives more concrete examples of optimization approaches. The last one describes how to identify performance limiters.

1. SIMT - NVIDIA GPU architecture
   
   
2. CUDA - Introduction
   
   
3. Device code optimization principle
   
   
4. Memory subsystem
   
   
5. Optimizing memory & control flow
   
   
6. Applying optimization techniques
   
   
7. Identifying performance limiters