GPUs and Heterogeneous Systems.md

Introduction to heterogeneous systems

• GPU architecture
• CUDA
• Programming and execution models
• Memory organization in CUDA
• Task level parallelism streams, events, dynamic parallelism
• Tools CUDA compiler, profiler and debugger

Optimizing parallel patterns in CUDA with some case studies:

• Histogram
• Convolution
• Reduction and Scan
• Stencil
• Merge
• Graph Traversal

Brief over view on OpenACC and OpenCL HSA foundations

CSE 599I: Accelerated Computing - Programming GPUs (tschmidt23.github.io) (276) Heterogenous Parallel Programming - CUDA Programming - YouTube