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Implementing a New Dense Symmetric Eigensolver Using Mixed Precision Techniques on Multicore Systems With Hardware Accelerators

机译：在具有硬件加速器的多核系统上使用混合精度技术实现新的密集对称本征求解器

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Sukkari Dalal E.; Ltaief Hatem; Keyes David E.;
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年度 2014
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1. MIXED PRECISION ITERATIVE REFINEMENT TECHNIQUES FOR THE SOLUTION OF DENSE LINEAR SYSTEMS [J] . Alfredo Buttari, Jack Dongarra, Julie Langou, International Journal of High Performance Computing Applications . 2007,第4期

机译：稠密线性系统求解的混合精度迭代细化技术
2. Solving Dense Linear Systems on Platforms with Multiple Hardware Accelerators [J] . Quintana-Orti G, Igual FD, Quintana-Orti ES, ACM SIGPLAN Notices: A Monthly Publication of the Special Interest Group on Programming Languages . 2009,第4期

机译：在具有多个硬件加速器的平台上解决密集的线性系统
3. Cache-Based Memory Copy Hardware Accelerator for Multicore Systems [J] . Duarte Filipa, Wong Stephan Computers, IEEE Transactions on . 2010,第11期

机译：用于多核系统的基于缓存的内存复制硬件加速器
4. Multi-GPU Scalable Implementation of a Contour-Integral-Based Eigensolver for Real Symmetric Dense Generalized Eigenvalue Problems [C] . Yano Takahiro, Futamura Yasunori, Sakurai Tetsuya International Conference on P2P, Parallel, Grid, Cloud and Internet Computing . 2013

机译：基于轮廓积分的本征求解器的多GPU可扩展实现，用于实对称对称广义特征值问题
5. Design and Generation of Efficient Hardware Accelerators for Sparse and Dense Tensor Computations [D] . ?Srivastava, Nitish Kumar 2020

机译：设计和生成的稀疏和密集计算中张量高效的硬件加速器
6. A Hardware Implemented Autocorrelation Technique for Estimating Power Spectral Density for Processing Signals from a Doppler Wind Lidar System [O] . Sameh Abdelazim, David Santoro, Mark Arend, 2018

机译：硬件实现的自相关技术用于估计处理多普勒风激光雷达系统信号的功率谱密度
7. Implementing a New Dense Symmetric Eigensolver on Multicore Systems [O] . Sukkari Dalal E. 2013

机译：在多核系统上实现新的密集对称本征求解器
8. Performance of a fully parallel dense real symmetric eigensolver in quantum chemistry applications [R] . Fann, G. I. , Littlefield, R. J. , Elwood, D. M. 1995

机译：量子化学应用中完全并行密集实对称本征解算器的性能

Implementing a New Dense Symmetric Eigensolver Using Mixed Precision Techniques on Multicore Systems With Hardware Accelerators

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