Cudadma: Overview and Code Examples

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Code Example: SAXPY Baseline: Typical staging through shared __global__ void saxpy ( float* y, float* x, float a) { } volatile __shared__ float sdata_x0 [COMPUTE_THREADS_PER_CTA]; volatile __shared__ float sdata_y0 [COMPUTE_THREADS_PER_CTA]; int tid = threadIdx.x ; for (int i=0; i < NUM_ITERS; ++i) { unsigned int idx = i * COMPUTE_THREADS_PER_CTA * CTA_COUNT + blockIdx.x * COMPUTE_THREADS_PER_CTA + tid; __syncthreads(); sdata_x0[tid] = x[idx]; sdata_y0[tid] = y[idx]; __syncthreads(); y[idx] = a * sdata_x0[tid] + sdata_y0[tid]; }
Page 1 and 2: CudaDMA: Overview and Code Examples
Page 3 and 4: Outline Motivation CudaDMA API Code
Page 5 and 6: // update the data slice in smem s_
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: CudaDMA Instances CudaDMASequential
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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