OpenBLAS
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Related Items (30)
The Singular Value Decomposition: Anatomy of Optimizing an Algorithm for Extreme Scale ⋮ FloatX ⋮ Unsymmetric multi-level hanging nodes and anisotropic polynomial degrees in \(H^1\)-conforming higher-order finite element methods ⋮ A numerical method to compute derivatives of functions of large complex matrices and its application to the overlap Dirac operator at finite chemical potential ⋮ Some fast algorithms multiplying a matrix by its adjoint ⋮ Error-correcting neural networks for two-dimensional curvature computation in the level-set method ⋮ Matrix-free GPU implementation of a preconditioned conjugate gradient solver for anisotropic elliptic PDEs ⋮ Most secant varieties of tangential varieties to Veronese varieties are nondefective ⋮ Machine learning algorithms for three-dimensional mean-curvature computation in the level-set method ⋮ Presentation of a highly tuned multithreaded interval solver for underdetermined and well-determined nonlinear systems ⋮ Implementation of a generalized exponential basis functions method for linear and non‐linear problems ⋮ Parallelization of the inverse fast multipole method with an application to boundary element method ⋮ Implementing High-Performance Complex Matrix Multiplication via the 1M Method ⋮ A Multilevel Monte Carlo Estimator for Matrix Multiplication ⋮ The BLAS API of BLASFEO ⋮ Unnamed Item ⋮ Restructuring the Tridiagonal and Bidiagonal QR Algorithms for Performance ⋮ Faster model matrix crossproducts for large generalized linear models with discretized covariates ⋮ Interval methods for computing strong Nash equilibria of continuous games ⋮ BLIS: A Framework for Rapidly Instantiating BLAS Functionality ⋮ Algorithm 1005 ⋮ All secant varieties of the Chow variety are nondefective for cubics and quaternary forms ⋮ Error-correcting neural networks for semi-Lagrangian advection in the level-set method ⋮ PRESAS: Block‐structured preconditioning of iterative solvers within a primal active‐set method for fast model predictive control ⋮ High-performance statistical computing in the computing environments of the 2020s ⋮ Computing the Gradient in Optimization Algorithms for the CP Decomposition in Constant Memory through Tensor Blocking ⋮ Improvement of error-free splitting for accurate matrix multiplication ⋮ Supporting Mixed-domain Mixed-precision Matrix Multiplication within the BLIS Framework ⋮ High-Performance Evaluation of Finite Element Variational Forms via Commuting Diagrams and Duality ⋮ Analytical Modeling Is Enough for High-Performance BLIS
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