High-Productivity CUDA Development with the Thrust Template ...

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Diving In #include #include #include #include int main(void) { // generate 32M random numbers on <strong>the</strong> host thrust::host_vector h_vec(32
Objectives � Programmer productivity — Build complex applications quickly � Encourage generic programming — Leverage parallel primitives � <strong>High</strong> performance — Efficient mapping to hardware
Page 1: High-Productivity CUDA Development
Page 5 and 6: Containers � Concise and readable
Page 7 and 8: Namespaces � Avoid name collision
Page 9 and 10: Iterators � Iterators act like po
Page 11 and 12: Algorithms � Elementwise operatio
Page 13 and 14: Algorithms � Standard operators /
Page 15 and 16: Custom Types & Operators struct neg
Page 17 and 18: Custom Types & Operators // return
Page 19 and 20: Interoperability � Wrap raw point
Page 21 and 22: Example: Weld Vertices � Review:
Page 23 and 24: Example: Weld Vertices Procedure: 1
Page 25 and 26: Step 2: Collapse like vertices // a
Page 27 and 28: Thinking Parallel � Leverage gene
Page 30 and 31: Input-Sensitive Optimizations Sorti
Page 32 and 33: Thrust on Google Code � Quick Sta
Page 34 and 35: Can I use Thrust? � Extensively t
Page 36: Acknowledgments � Andrew Corrigan

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