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Module 01 - Course Introduction
Module 02 - Introduction to CUDA C
Module 03 - CUDA Parallelism Model
Module 04 - Memory and Data Locality
Module 05 - Thread Execution Efficiency
Module 06 - Memory Access Performance
Module 07 - Parallel Computation Patterns (Histogram)
Module 08 - Parallel Computation Patterns (Stencil)
Module 09 - Parallel Computation Patterns (Reduction)
Module 10 - Parallel Computation Patterns (Scan)
Module 11 - Breadth-First Search (BFS) Queue/Labs and Solutions
Module 12 - Floating Point Considerations
Module 13 - GPU as part of the PC Architecture
Module 14 - Efficient Host-Device Data Transfer
Module 15 - (Case Study) Advanced MRI Reconstruction
Module 16 - (Case Study) Electrostatic Potential Calculation/Slides
Module 17 - Computational Thinking For Parallel Programming
Module 18 - Related Programming Models (MPI)
Module 19 - CUDA Python using Numba/Labs and Solutions
Module 20 - Related Programming Models (OpenCL)
Module 21 - Related Programming Models (OpenACC)
Module 23 - Dynamic Parallelism
Module 24 - Multi-GPU
Module 25 - Using CUDA Libraries
Projects and Solutions
CUDA by Example (2011).pdf
EBook PMPP 3rd Edition.pdf
Latest Release Note.pdf
README.md
_Quick Start Guide.pdf