Introduction to CUDA C

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A More Complex Example: main() (cont) } // copy inputs to device cudaMemcpy( dev_a, &a, size, cudaMemcpyHostToDevice ); cudaMemcpy( dev_b, &b, size, cudaMemcpyHostToDevice ); // launch add() kernel on GPU, passing parameters add>( dev_a, dev_b, dev_c ); // copy device result back to host copy of c cudaMemcpy( &c, dev_c, size, cudaMemcpyDeviceToHost ); cudaFree( dev_a ); cudaFree( dev_b ); cudaFree( dev_c ); return 0;
Parallel Programming in CUDA C � But wait…GPU computing is about massive parallelism � So how do we run code in parallel on the device? � Solution lies in the parameters between the triple angle brackets: add>( dev_a, dev_b, dev_c ); add>( dev_a, dev_b, dev_c ); � Instead of executing add() once, add() executed N times in parallel
Page 1 and 2: Introduction to CUDA C San Jose Con
Page 3 and 4: What is CUDA? � CUDA Architecture
Page 5 and 6: CUDA C Prerequisites � You (proba
Page 7 and 8: Hello, World! int main( void ) { pr
Page 9 and 10: Hello, World! with Device Code __gl
Page 11 and 12: A More Complex Example � A simple
Page 13 and 14: Memory Management � Host and devi
Page 15: A More Complex Example: main() int
Page 19 and 20: Parallel Programming in CUDA C �
Page 21 and 22: Parallel Addition: main() #define N
Page 23 and 24: Review � Difference between “ho
Page 25 and 26: Threads � Terminology: A block ca
Page 27 and 28: Parallel Addition (Threads): main()
Page 29 and 30: Indexing Arrays With Threads And Bl
Page 31 and 32: Addition with Threads and Blocks
Page 33 and 34: Parallel Addition (Blocks/Threads):
Page 35 and 36: Dot Product � Unlike vector addit
Page 37 and 38: Dot Product � But we need to shar
Page 39 and 40: Parallel Dot Product: dot() � We
Page 41 and 42: Faulty Dot Product Exposed! � Ste
Page 43 and 44: Synchronization � We need threads
Page 45 and 46: Parallel Dot Product: dot() __globa
Page 47 and 48: Parallel Dot Product: main() } // c
Page 49 and 50: Review (cont) � Using __shared__
Page 51 and 52: Multiblock Dot Product: Algorithm
Page 53 and 54: Multiblock Dot Product: dot() #defi
Page 55 and 56: Global Memory Contention Block 0 su
Page 57 and 58: Atomic Operations � Terminology:
Page 59 and 60: Parallel Dot Product: main() #defin
Page 61 and 62: Review � Race conditions — Beha
Page 63: Questions � First my questions

Introduction to CUDA C

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