ParallelPreconditioningTechniquesforSparseCGSolversA?Basermann?B?Reichel?andC?Scheltho?CentralInstituteforAppliedMathematicsResearchCentreJ?ulichGmbH???J?ulich?GermanyPhone???Fax???Email?a?basermann?kfa?juelich?deConjugategradient?CG?methodstosolvesparsesystemsoflinearequa?tionsplayanimportantroleinnumerical...
Basermann A,Reichel B,Schelthoff C.Preconditioned CG methods for sparse matrices on massively parallel machines.Parallel Computing. 1997A. BASERMANN, B. REICHEL, AND C. SCHELTHOFF, Preconditioned CG methods for sparse matrices on massively parallel machines, Parallel Computing, 23 (1997), pp. ...
Sparse grid Gaussian processes. Contribute to CollinErickson/CGGP development by creating an account on GitHub.
Houdini 18 Sparse Pyro特效视频教程,Houdini火焰特效教程 Cgforge – Pyro 2 Flames & Sparse Pyro. 在Houdini中制作模拟真实的火焰效果,主要是Houdini工作流程演示、场景灯光设置、火焰设置模拟技巧。Pyro II Flames&Sparse Pyros是帮助您创建漂亮火焰的课程。本课程包括各种有用的资源,工作流程演示和项目场景文件。 P...
CGAcc combines Compressed Sparse Row (CSR) graph representation with in-memory prefetching and processing to improve the performance of graph traversal. Our approach integrates the prefetching and processing in the logic layer of a 3D stacked Dynamic Random-Access Memory (DRAM) architecture, based on...
Direct Sparse Odometry, J. Engel, V. Koltun, D. Cremers, In arXiv:1607.02565, 2016 A Photometrically Calibrated Benchmark For Monocular Visual Odometry, J. Engel, V. Usenko, D. Cremers, In arXiv:1607.02555, 2016Get some datasets from https://vision.in.tum.de/mono-dataset ....
To solve these problems, a DU-CG-STAP method with unsupervised learning is proposed in this paper, which cascades a DU-Net and a DNN. The DU-Net, named as 2DMA-Net, is used to process the raw radar data to estimate the clutter spectrum. It is constructed by unfolding a space–time ...
Sparse sufficient dimension reduction The method can be applied to most existing sufficient dimension reduction methods such as sliced inverse regression, sliced average variance estimation and ... Lexin Li liatstat.ncsu.edu - 《Biometrika》 被引量: 209发表: 2007年 Sparse estimation and inference for...
PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629) - zcg1942/SuperPointPretrainedNetwork
Efficient Sparse Matrix-vector Multiplication and CG Solver Optimization on GPU基于GPU的高性能稀疏矩阵向量乘及CG求解器优化带状稀疏矩阵向量乘bDIA广义有限元GPUCG求解器优化以有限元/有限差分等为代表的一类数值方法,其总体矩阵常常具有 "带状",稀疏的特点.针对"带状"稀疏矩阵,提出和实现了一种高效的矩阵向量乘...