I am currently a post doctoral research associate in Numerical Linear Algebra Group at Department of Mathematics, The University of Manchester. Prior to this I was a research scholar at Indian Institute of Science, Prof. Debraj Ghosh was my PhD supervisor. My research interests include numerical analysis, numerical linear algebra.
14. Ahmad Abdelfattah, Hartwig Anzt, Erik G. Boman, Erin Carson, Terry Cojean, Jack Dongarra, Mark Gates, Thomas Grützmacher, Nicholas J. Higham, Sherry Li, Neil Lindquist, Yang Liu, Jennifer Loe, Piotr Luszczek, Pratik Nayak, Srikara Pranesh, Siva Rajamanickam, Tobias Ribizel, Barry Smith, Kasia Swirydowicz, Stephen Thomas, Stanimire Tomov, Yaohung M. Tsai, Ichitaro Yamazaki, Urike Meier Yang. "A Survey of Numerical Linear Algebra Methods Utilizing Mixed Precision Arithmetic." (2021), (To Appear in International Journal of High Performance Computing Applications).
13. Desmond J. Higham, Nicholas J. Higham, and Srikara Pranesh. "Random Matrices Generating Large Growth in LU Factorization with Pivoting." (2021), SIAM Journal On Matrix Analysis and Applications, 42(1), 185-201.
12. Massimiliano Fasi, Nicholas J. Higham, Mantas Mikaitis, and Srikara Pranesh. "Numerical Behavior of the NVIDIA Tensor Cores." (2021), PeerJ. Computer Science,7:e330.
11. Erin Carson, Nicholas J. Higham, Srikara Pranesh. "Three-Precision GMRES-Based Iterative Refinement for Least Squares Problems." (2020), SIAM Journal On Scientific Computing, 42(6), A4063–A4083. codes available here
10. Nicholas J. Higham, Srikara Pranesh. "Exploiting Lower Precision Arithmetic in Solving Symmetric Positive Definite Linear Systems and Least Sqaures Problems." (2021), SIAM Journal On Scientific Computing, 43(1), A258-A277 . codes available here
9. Pierre Blanchard, Nicholas J. Higham, Florent Lopez, Theo Mary, and Srikara Pranesh. "Mixed Precision Block Fused Multiply-Add: Error Analysis and Application to GPU Tensor Cores."(2020), SIAM Journal on Scientific Computing 42(3),C124-C141.
8. Srikara Pranesh. "Backward Error and Condition number of a generalized Sylvester equation, with application to the stochastic Galerkin method." (2019), Linear Algebra and Its Applications 594 (2020): 95-116. codes available here
7. Nicholas J. Higham, Srikara Pranesh. "Simulating Low Precision Floating-Point Arithmetic." (2019), SIAM Journal on Scientific Computing 41(5), C585–C602. codes available here
6. Nicholas J. Higham, Srikara Pranesh, and Mawussi Zounon. "Squeezing a Matrix into Half Precision, with an Application to Solving Linear Systems." (2019), SIAM Journal on Scientific Computing 41.4 (2019): A2536-A2551. codes available here
5. Azzam Haidar, Ahmad Abdelfattah, Mawussi Zounon, Panruo Wu, Srikara Pranesh, Stanimire Tomov, and Jack Dongarra. "The Design of Fast and Energy-Efficient Linear Solvers: On the Potential of Half-Precision Arithmetic and Iterative Refinement Techniques." In International Conference on Computational Science, pp. 586-600. Springer, Cham, 2018.
4. Srikara Pranesh, and Debraj Ghosh. "Cost reduction of stochastic Galerkin method by adaptive identification of significant polynomial chaos bases for elliptic equations." Computer Methods in Applied Mechanics and Engineering 340 (2018): 54-69..
3. Srikara Pranesh, and Debraj Ghosh. “A FETI-DP based parallel hybrid stochastic finite element method for large stochastic systems.” Computers & Structures 195 (2018): 64-73.
2. Srikara Pranesh, and Debraj Ghosh. “Addressing the curse of dimensionality in SSFEM using the dependence of eigenvalues in KL expansion on domain size.” Computer Methods in Applied Mechanics and Engineering 311 (2016): 457-475.
1. Srikara Pranesh, and Debraj Ghosh. “Faster computation of the Karhunen - Loeve expansion using its domain independence property.” Computer Methods in Applied Mechanics and Engineering 285 (2015): 125-145.
Teaching Assistant, foundation year mathematics course MATH19872 February 2018 - May 2018, University of Manchester.
Teaching Assistant, ‘ Uncertainty modelling and analysis’ during January - May 2017 term, Indian Institute of Science.
Teaching Assistant, ‘Finite element analysis’ during January 2017, for a course conducted at centre for continuing education in Indian Institute of Science.
Teaching Assistant, ‘Uncertainty modelling and analysis’ during January - May 2016 term, Indian Institute of Science.
Teaching Assistant, ‘Finite element analysis’ during August - December 2014 term, Indian Institute of Science.
4. Low Precision Floating-Point Formats: The Wild West of Computer Arithmetic. SIAM News, Vol 52, Issue 9, Nov 2019.
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