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Srikara Pranesh
Srikara Pranesh
Associate Research Staff Member, V-Labs
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Year
A survey of numerical linear algebra methods utilizing mixed-precision arithmetic
A Abdelfattah, H Anzt, EG Boman, E Carson, T Cojean, J Dongarra, A Fox, ...
The International Journal of High Performance Computing Applications 35 (4 …, 2021
152*2021
Simulating Low Precision Floating-Point Arithmetic
NJ Higham, S Pranesh
SIAM Journal on Scientific Computing 41 (5), C585–C602, 2019
772019
Squeezing a matrix into half precision, with an application to solving linear systems
NJ Higham, S Pranesh, M Zounon
SIAM journal on scientific computing 41 (4), A2536-A2551, 2019
732019
Mixed precision block fused multiply-add: Error analysis and application to GPU tensor cores
P Blanchard, NJ Higham, F Lopez, T Mary, S Pranesh
SIAM Journal on Scientific Computing 42 (3), C124-C141, 2020
61*2020
The design of fast and energy-efficient linear solvers: On the potential of half-precision arithmetic and iterative refinement techniques
A Haidar, A Abdelfattah, M Zounon, P Wu, S Pranesh, S Tomov, ...
International conference on computational science, 586-600, 2018
502018
Faster computation of the Karhunen–Loève expansion using its domain independence property
S Pranesh, D Ghosh
Computer Methods in Applied Mechanics and Engineering 285, 125-145, 2015
422015
Exploiting lower precision arithmetic in solving symmetric positive definite linear systems and least squares problems
NJ Higham, S Pranesh
SIAM Journal on Scientific Computing 43 (1), A258-A277, 2021
37*2021
Three-precision GMRES-based iterative refinement for least squares problems
E Carson, NJ Higham, S Pranesh
SIAM Journal on Scientific Computing 42 (6), A4063-A4083, 2020
36*2020
Numerical behavior of NVIDIA tensor cores
M Fasi, NJ Higham, M Mikaitis, S Pranesh
PeerJ Computer Science 7, e330, 2021
332021
Addressing the curse of dimensionality in SSFEM using the dependence of eigenvalues in KL expansion on domain size
S Pranesh, D Ghosh
Computer Methods in Applied Mechanics and Engineering 311, 457-475, 2016
172016
Random matrices generating large growth in LU factorization with pivoting
DJ Higham, NJ Higham, S Pranesh
SIAM Journal on Matrix Analysis and Applications 42 (1), 185-201, 2021
142021
Cost reduction of stochastic Galerkin method by adaptive identification of significant polynomial chaos bases for elliptic equations
S Pranesh, D Ghosh
Computer Methods in Applied Mechanics and Engineering 340, 54-69, 2018
92018
A FETI-DP based parallel hybrid stochastic finite element method for large stochastic systems
S Pranesh, D Ghosh
Computers & Structures 195, 64-73, 2018
72018
D2. 6 Prototype Software for Eigenvalue Problem Solvers
M Myllykoski, L Karlsson, B Kågström, M Eljammaly, S Pranesh, ...
NLAFET Consortium; Umeå University, 2018
42018
Randomized low rank matrix approximation: Rounding error analysis and a mixed precision algorithm
MP Connolly, NJ Higham, S Pranesh
22022
Advances in Mixed Precision Algorithms: 2021 Edition
A Abdelfattah, H Anzt, A Ayala, E Boman, E Carson, S Cayrols, T Cojean, ...
Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2021
22021
Development of an efficient domain decomposition algorithm for solving large stochastic mechanics problems
S Pranesh
12021
Backward error and condition number of a generalized Sylvester equation, with application to the stochastic Galerkin method
S Pranesh
Linear Algebra and its Applications 594, 95-116, 2020
12020
D7. 8 Release of the NLAFET library
B Kågström, M Myllykoski, L Karlsson, CC Kjelgaard Mikkelsen, S Cayrols, ...
NLAFET Consortium; Umeå University, 2019
2019
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