Tree-based Space Efficient Formats for Storing the Structure of Sparse Matrices
Author:
Publisher
Scalable Computing: Practice and Experience
Subject
General Computer Science
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Performance Analysis of Sparse Matrix-Vector Multiplication (SpMV) on Graphics Processing Units (GPUs);Electronics;2020-10-13
2. Graphics processing unit accelerating compressed sensing photoacoustic computed tomography with total variation;Applied Optics;2020-01-15
3. Evaluation Criteria for Sparse Matrix Storage Formats;IEEE Transactions on Parallel and Distributed Systems;2016-02-01
4. Space and Execution Efficient Formats for Modern Processor Architectures;2015 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC);2015-09
5. Downsampling Algorithms for Large Sparse Matrices;International Journal of Parallel Programming;2014-07-08
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