Getting Started with CUDA

More documents

Recommendations

Info

Thread Batching Kernel launches a grid of thread blocks Threads <strong>with</strong>in a block cooperate via shared memory Threads <strong>with</strong>in a block can synchronize Threads in different blocks cannot cooperate Allows programs to transparently scale to different GPUs Grid Thread Block 0 Shared Memory Thread Block 1 Shared Memory … Thread Block N-1 Shared Memory © 2008 NVIDIA Corporation.
Transparent Scalability Hardware is free to schedule thread blocks on any processor A kernel scales across parallel multiprocessors Kernel grid Device Device Block 0 Block 1 Block 0 Block 1 Block 2 Block 3 Block 4 Block 5 Block 6 Block 7 Block 2 Block 3 Block 4 Block 5 Block 6 Block 7 Block 0 Block 1 Block 2 Block 3 Block 4 Block 5 Block 6 Block 7 © 2008 NVIDIA Corporation.
Page 1 and 2: Getting Started with CUDA Greg Ruet
Page 3 and 4: Outline CUDA programming model Basi
Page 5 and 6: CUDA Kernels and Threads Parallel p
Page 7: Thread Cooperation The Missing Piec
Page 11 and 12: 10-Series Architecture 240 thread p
Page 13 and 14: Physical Memory Layout Host “Loca
Page 15 and 16: Key Parallel Abstractions in CUDA T
Page 17 and 18: CUDA Installation CUDA installation
Page 19 and 20: Compiling CUDA Code C/C++ CUDA Appl
Page 21 and 22: Outline CUDA programming model Basi
Page 23 and 24: GPU Memory Allocation / Release cud
Page 25 and 26: Data Movement Example int main(void
Page 35 and 36: Executing Code on the GPU Kernels a
Page 37 and 38: Launching Kernels Modified C functi
Page 39 and 40: CUDA Built-in Device Variables All
Page 41 and 42: Minimal Kernels __global__ void min
Page 43 and 44: Host Synchronization All kernel lau
Page 45 and 46: Variable Qualifiers (GPU code) __de
Page 47 and 48: GPU Thread Synchronization void __s
Page 49 and 50: Built-in Vector Types Can be used i
Page 51 and 52: CUDA Programming Resources We only
Page 53 and 54: CUBLAS Implementation of BLAS (Basi
Page 55 and 56: Using CUBLAS Interface to CUBLAS li
Page 57 and 58: sgemmExample.c #include #include
Page 59 and 60:
Outline CUDA programming model Basi
Page 61 and 62:
More on CUFFT For 2D and 3D transfo
Page 63 and 64:
CUFFT Example #include #include #
Page 65:
Getting Started with CUDA Greg Ruet
show all

Getting Started with CUDA

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?