Introduction to CUDA C

More documents

Recommendations

Info

Review � Launching kernels with parallel threads — Launch add() with N threads: add>(); — Used threadIdx.x to access thread’s index � Using both blocks and threads — Used (threadIdx.x + blockIdx.x * blockDim.x) to index input/output — N/THREADS_PER_BLOCK blocks and THREADS_PER_BLOCK threads gave us N threads total
Review (cont) � Using __shared__ to declare memory as shared memory — Data shared among threads in a block — Not visible to threads in other parallel blocks � Using __syncthreads() as a barrier — No thread executes instructions after __syncthreads() until all threads have reached the __syncthreads() — Needs to be used to prevent data hazards
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 and 16: A More Complex Example: main() int
Page 17 and 18: Parallel Programming in CUDA C �
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: Parallel Dot Product: main() } // c
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

Create successful ePaper yourself

Delete template?

Save as template?