Sharper Probabilistic Backward Error Analysis for Basic Linear Algebra Kernels with Random Data
From MaRDI portal
Publication:5132023
DOI10.1137/20M1314355zbMath1452.65090WikidataQ114615456 ScholiaQ114615456MaRDI QIDQ5132023
Nicholas J. Higham, Theo A. Mary
Publication date: 9 November 2020
Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)
floating-point arithmeticconcentration inequalitymatrix multiplicationrounding error analysisprobabilistic error boundsmean independence property
Related Items
Matrix Multiplication in Multiword Arithmetic: Error Analysis and Application to GPU Tensor Cores, Mixed precision algorithms in numerical linear algebra, Floating-point arithmetic, Fast and accurate computation of the Euclidean norm of a vector, Precision-aware deterministic and probabilistic error bounds for floating point summation, Probabilistic Rounding Error Analysis of Householder QR Factorization, Five-Precision GMRES-Based Iterative Refinement, A Class of Fast and Accurate Summation Algorithms, Adaptive Precision Sparse Matrix–Vector Product and Its Application to Krylov Solvers, Numerical stability of algorithms at extreme scale and low precisions, Stochastic Rounding and Its Probabilistic Backward Error Analysis, Randomized Gram--Schmidt Process with Application to GMRES
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Reducing Floating Point Error in Dot Product Using the Superblock Family of Algorithms
- Compatibility of approximate solution of linear equations with given error bounds for coefficients and right-hand sides
- Weighing the Odds
- Mixed Precision Block Fused Multiply-Add: Error Analysis and Application to GPU Tensor Cores
- Accuracy and Stability of Numerical Algorithms
- A Class of Fast and Accurate Summation Algorithms
- A New Approach to Probabilistic Rounding Error Analysis
- Simulating Low Precision Floating-Point Arithmetic
- Probability Inequalities for Sums of Bounded Random Variables
- Tests of probabilistic models for propagation of roundoff errors