The following publications are possibly variants of this publication:
- CRSD: Application Specific Auto-tuning of SpMV for Diagonal Sparse MatricesXiangzheng Sun, Yunquan Zhang, Ting Wang, Guoping Long, Xianyi Zhang, Yan Li. europar 2011: 316-327 [doi]
- BestSF: A Sparse Meta-Format for Optimizing SpMV on GPUAkrem Benatia, Weixing Ji, Yizhuo Wang, Feng Shi. taco, 15(3), 2018. [doi]
- Sparse matrix partitioning for optimizing SpMV on CPU-GPU heterogeneous platformsAkrem Benatia, Weixing Ji, Yizhuo Wang, Feng Shi. ijhpca, 34(1), 2020. [doi]
- Efficient Algorithm Design of Optimizing SpMV on GPUGenshen Chu, Yuanjie He, Lingyu Dong, Zhezhao Ding, Dandan Chen, He Bai 0005, Xuesong Wang, Changjun Hu. hpdc 2023: 115-128 [doi]
- AlphaSparse: Generating High Performance SpMV Codes Directly from Sparse MatricesZhen Du, Jiajia Li 0001, YinShan Wang, Xueqi Li, Guangming Tan, Ninghui Sun. sc 2022: 1-15 [doi]
- Sparse Matrix Format Selection with Multiclass SVM for SpMV on GPUAkrem Benatia, Weixing Ji, Yizhuo Wang, Feng Shi. icpp 2016: 496-505 [doi]
- Performance Optimization for SpMV on Multi-GPU Systems Using Threads and Multiple StreamsPing Guo, Changjiang Zhang. sbac-pad 2016: 67-72 [doi]