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Book Categories |
Chapter 1: Introduction
Chapter 2: History of GPU Computing
Chapter 3: Introduction to CUDA
Chapter 4: CUDA Threads
Chapter 5: CUDA Memories
Chapter 6: Performance Considerations
Chapter 7: Floating-Point Considerations
Chapter 8: Application Case Study I - Advanced MRI Reconstruction
Chapter 9: Application Case Study II - Molecular Visualization and Analysis
Chapter 10: Parallel Programming and Computational Thinking
Chapter 11: A Brief Introduction to OpenCL ™
Chapter 12: Conclusion and Future Outlook
Appendix A: Matrix Multiplication Example Code
Appendix B: Speed and feed of current generation CUDA devices
| Price | Condition | Delivery | Seller | Action |
| $99.99 | Digital |
| WonderClub |
Benjamin Curtis
reviewed Programming Massively Parallel Processors: A Hands-on Approach on May 17, 2018
Programming Massively Parallel Processors: A Hands-on Approach
Not a bad introductory book, (if perhaps excessively NVIDIA-centric), but the first edition (which is what I read) is showing its age in 2018.
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