The following pages link to SBR Toolbox (Q22114):
Displaying 19 items.
- Solving dense generalized eigenproblems on multi-threaded architectures (Q387520) (← links)
- Backward error analysis of the AllReduce algorithm for Householder QR decomposition (Q692038) (← links)
- A fast band-Krylov eigensolver for macromolecular functional motion simulation on multicore architectures and graphics processors (Q729507) (← links)
- Structure preserving parallel algorithms for solving the Bethe-Salpeter eigenvalue problem (Q896844) (← links)
- Look-ahead in the two-sided reduction to compact band forms for symmetric eigenvalue problems and the SVD (Q1717592) (← links)
- An improved divide-and-conquer algorithm for the banded matrices with narrow bandwidths (Q2007234) (← links)
- A fixed-point method for approximate projection onto the positive semidefinite cone (Q2400246) (← links)
- Divide and conquer on hybrid GPU-accelerated multicore systems (Q2904837) (← links)
- (Q3086082) (← links)
- Minimizing Communication in Numerical Linear Algebra (Q3112398) (← links)
- Implementation details of an extended oqds algorithm for singular values (Q3121378) (← links)
- Families of Algorithms for Reducing a Matrix to Condensed Form (Q3189658) (← links)
- High-performance bidiagonal reduction using tile algorithms on homogeneous multicore architectures (Q3189674) (← links)
- A framework for symmetric band reduction (Q4406294) (← links)
- The Singular Value Decomposition: Anatomy of Optimizing an Algorithm for Extreme Scale (Q4554900) (← links)
- Efficient Reduction of Banded Hermitian Positive Definite Generalized Eigenvalue Problems to Banded Standard Eigenvalue Problems (Q4628390) (← links)
- Communication lower bounds and optimal algorithms for numerical linear algebra (Q4683913) (← links)
- Toward a High Performance Tile Divide and Conquer Algorithm for the Dense Symmetric Eigenvalue Problem (Q4908665) (← links)
- A High Performance QDWH-SVD Solver Using Hardware Accelerators (Q5270768) (← links)
