Sparse-matrix vector multiplication on hybrid CPU+GPU platform

Sparse-matrix vector multiplication(Spmv) is a basic operation in many linear algebra kernels.So it is interesting to have a spmv on modern architectures like GPU. As it is a irregular computation CPU also performs compares to GPU. So it is interesting to have this routine in hybrid architectures like CPU+GPU.So we have designed a hybrid algorithm for Spmv which uses a CPU and a GPU. We have experimented two different hybrid architectures, 6-core Intel i7-980X CPU + NVidia GTX 280 GPU which is a high end platform and Intel dual core CPU + NVidia GT 520 GPU which is a low end platform. The results show a speed up to 30% and 50% compared to cusp library implementation of Spmv on high end and low end respectively.