Lecture 8: GPU Computing Intro. The CUDA Programming Model. CUDA Execution Configuration.

Lecture Summary
Flynn's Taxonomy
Amdahl's Law
Start GPU computing
Flynn's Taxonomy
SISD: Single Instruction/Single Data
SIMD: Single Instruction/Multiple Data
MISD: Multiple Instruction/Single Data
MIMD: Multiple Instruction/Multiple Data
Amdahl's Law (Law of Diminishing Returns)
The overall speedup relies on the worst-performing sections the most (see more explanations here).
GPU Computing with CUDA
Fermi
Volta
Ampere
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Lecture 7: Parallel Computing. Flynn's Taxonomy. Amdahl's Law.

Lecture 9: GPU Memory Spaces

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