WebMar 13, 2011 · You just want to sort an array of 512 Elements and let some pointers refer to another location. This is nothing fancy, use a simple serial algorithm for that, e.g. … WebThe sorting algorithm is implemented in a fragment program. It is driven by two nested loops on the CPU that just transport stage, pass number, and some derived values via uniform parameters to the shader before drawing the quad. If we want to sort many items, we have to store them in a 2D texture.
Introduction — Gpufit: An open-source toolkit for GPU …
WebJun 15, 2009 · NVIDIA CUDA SDK - Data-Parallel Algorithms. This sample implements a separable convolution filter of a 2D signal with a gaussian kernel. Texture-based implementation of a separable 2D convolution with a gaussian kernel. Used for performance comparison against convolutionSeparable. This sample is an implementation of a simple … WebCUDA BLA Library: GEMM algorithms • You will work inside bla_lib.cu source file directly with CUDA GEMM kernels • Matrix multiplication {false,false} case (implemented): – C(m,n) += A(m,k) * B(k,n) – CUDA kernels: gpu_gemm_nn, gpu_gemm_sh_nn, gpu_gemm_sh_reg_nn • Matrix multiplication {false,true} case (your exercise): – C(m,n) … incurred to date
CUDA C++ Exercise: Basic Linear Algebra Kernels: GEMM …
WebNov 1, 2009 · The current implementation is on NVIDIA CUDA with multi-GPUs support, and is being migrated to the new born Open Computing Language (OpenCL). Extensive experiments demonstrate that our... WebMay 6, 2014 · algorithms where work is naturally split into independent batches, where each batch involves complex parallel processing but cannot fully use a single GPU. … WebMar 9, 2014 · 1 Recently ,I use Cuda to write an algorithm called 'orthogonal matching pursuit' . In my ugly Cuda code the entire iteration takes 60 sec , and Eigen lib takes just 3 sec... In my code Matrix A is [640,1024] and y is [640,1] , in each step I select some vectors from A to compose a new Matrix called A_temp [640,itera], iter=1:500 . incurred the cost