Publisher
Springer Nature Switzerland
Reference23 articles.
1. cuSPARSE library. https://developer.nvidia.com/cusparse. Accessed 21 Jun 2022
2. Barrett, R., et al.: Templates for the Solution of Linear Systems: Building Blocks for Iterative Methods. Society for Industrial and Applied Mathematics (1994)
3. Bell, N., Garland, M.: Implementing sparse matrix-vector multiplication on throughput-oriented processors. In: Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis, SC 2009. Association for Computing Machinery, New York (2009). https://doi.org/10.1145/1654059.1654078
4. Benatia, A., Ji, W., Wang, Y., Shi, F.: Sparse matrix partitioning for optimizing SpMV on CPU-GPU heterogeneous platforms. Int. J. High Perform. Comput. Appl. 34(1), 66–80 (2020)
5. Berger, G., Freire, M., Marini, R., Dufrechou, E., Ezzatti, P.: Advancing on an efficient sparse matrix multiplication kernel for modern GPUs. Concurrency Comput. Pract. Exp. 35, e7271. https://doi.org/10.1002/cpe.7271, https://onlinelibrary.wiley.com/doi/abs/10.1002/cpe.7271