机译:使用缓存遗忘扩展四叉树存储格式的有效稀疏矩阵矢量乘法
School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, 310018, China,Key Laboratory of Complex Systems Modeling and Simulation, Ministry of Education, China,Zhejiang Provincial Engineering Center on Media Data Cloud Processing and Analysis, Hangzhou, 310018, China;
School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, 310018, China,Key Laboratory of Complex Systems Modeling and Simulation, Ministry of Education, China,Zhejiang Provincial Engineering Center on Media Data Cloud Processing and Analysis, Hangzhou, 310018, China;
School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, 310018, China,Key Laboratory of Complex Systems Modeling and Simulation, Ministry of Education, China,Zhejiang Provincial Engineering Center on Media Data Cloud Processing and Analysis, Hangzhou, 310018, China;
School of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou, 310018, China;
School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, 310018, China,Key Laboratory of Complex Systems Modeling and Simulation, Ministry of Education, China,Zhejiang Provincial Engineering Center on Media Data Cloud Processing and Analysis, Hangzhou, 310018, China;
School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, 310018, China,Key Laboratory of Complex Systems Modeling and Simulation, Ministry of Education, China,Zhejiang Provincial Engineering Center on Media Data Cloud Processing and Analysis, Hangzhou, 310018, China;
School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, 310018, China,Key Laboratory of Complex Systems Modeling and Simulation, Ministry of Education, China,Zhejiang Provincial Engineering Center on Media Data Cloud Processing and Analysis, Hangzhou, 310018, China;
School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, 310018, China,Key Laboratory of Complex Systems Modeling and Simulation, Ministry of Education, China,Zhejiang Provincial Engineering Center on Media Data Cloud Processing and Analysis, Hangzhou, 310018, China;
Sparse matrix-vector multiplication; Sparse matrix storage; Data locality; Cache oblivious; Extension quadtree; Distributed parallelism;
机译:二维高速缓存可忽略的稀疏矩阵矢量乘法
机译:在具有宽模拟单元的现代处理器上有效地通用稀疏矩阵-向量乘法的统一稀疏矩阵数据格式
机译:递归稀疏块格式的高效多线程未转置,转置或对称稀疏矩阵矢量乘法
机译:使用CSR存储格式的GPU上的高效稀疏矩阵矢量乘法
机译:小型有限字段高性能稀疏矩阵矢量乘法分析
机译:标准导出数据格式用于标准化结构化信息交换的扩展存储
机译:通过使用稀疏矩阵划分方法的高速缓存可忽略的稀疏矩阵矢量乘法