Cudadma: Overview and Code Examples

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Motivation 1: Productivity Mismatch thread block size/shape <strong>and</strong> shared data size/shape Leads to lots of „if‟ statements (<strong>and</strong> headaches) Goal: decouple thread block size/shape from data size/shape
// update the data slice in smem s_data[ty][tx] = local_input1[radius]; s_data[ty][tx+BDIMX] = local_input2[radius]; If/else serialization on data transfers in 3D stencil if( threadIdx.y= radius && threadIdx.y < 2*radius ) { s_data[threadIdx.y+BDIMY][tx] = g_curr[c_offset + (BDIMY-radius)*dimx]; s_data[threadIdx.y+BDIMY][tx+BDIMX] = g_curr[c_offset + (BDIMY-radius)*dimx + BDIMX]; } if(threadIdx.x
Page 1 and 2: CudaDMA: Overview and Code Examples
Page 3: Outline Motivation CudaDMA API Code
Page 7 and 8: Warp Specialization CudaDMA enables
Page 9 and 10: CudaDMA API Declare CudaDMA object
Page 11 and 12: CudaDMA App Structure: Warp Special
Page 13 and 14: Buffering Techniques Usually one se
Page 15 and 16: CudaDMA Instances CudaDMASequential
Page 17 and 18: Code Example: SAXPY Baseline: Typic
Page 19 and 20: Code Example: SGEMV (with warp spec
Page 21 and 22: A few experimental results…
Page 23 and 24: 3D Finite-Difference Stencil Use DM
Page 25 and 26: Thank You! http://code.google.com/p
Page 27: Warp Defintion Each CTA is decompos

Cudadma: Overview and Code Examples

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