Vassilis Kalantzis

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 27

Top Topics

Eigenvalue Problems

Sparse Matrices

Monte Carlo Method

Top Venues

SIAM J. Sci. Comput.

Numer. Linear Algebra Appl.

Publications

Vassilis Kalantzis, Yuanzhe Xi, Lior Horesh, Yousef Saad
Randomized linear solvers for computational architectures with straggling workers. CoRR (2024)
Soumyadip Ghosh, Lior Horesh, Vassilis Kalantzis, Yingdong Lu, Tomasz Nowicki
Regenerative Ulam-von Neumann Algorithm: An Innovative Markov chain Monte Carlo Method for Matrix Inversion. CoRR (2024)
Vassilis Kalantzis, Mark S. Squillante, Shashanka Ubaru, Tayfun Gokmen, Chai Wah Wu, Anshul Gupta, Haim Avron, Tomasz Nowicki, Malte J. Rasch, Murat Onen, Vanessa López-Marrero, Effendi Leobandung, Yasuteru Kohda, Wilfried Haensch, Lior Horesh
Multi-Function Multi-Way Analog Technology for Sustainable Machine Intelligence Computation. CoRR (2024)
Vassilis Kalantzis, Georgios Kollias, Shashanka Ubaru, Theodoros Salonidis
Process. ICASSP (2023)
Vassilis Kalantzis, Lior Horesh
Enhanced algebraic substructuring for symmetric generalized eigenvalue problems. Numer. Linear Algebra Appl. 30 (2) (2023)
Georgios Kollias, Vassilis Kalantzis, Theodoros Salonidis, Shashanka Ubaru
Quantum Graph Transformers. ICASSP (2023)
Tianshi Xu, Vassilis Kalantzis, Ruipeng Li, Yuanzhe Xi, Geoffrey Dillon, Yousef Saad
parGeMSLR: A parallel multilevel Schur complement low-rank preconditioning and solution package for general sparse matrices. Parallel Comput. 113 (2022)
Tianshi Xu, Vassilis Kalantzis, Ruipeng Li, Yuanzhe Xi, Geoffrey Dillon, Yousef Saad
parGeMSLR: A Parallel Multilevel Schur Complement Low-Rank Preconditioning and Solution Package for General Sparse Matrices. CoRR (2022)
Dong Hu, Shashanka Ubaru, Alex Gittens, Kenneth L. Clarkson, Lior Horesh, Vassilis Kalantzis
Sparse Graph Based Sketching for Fast Numerical Linear Algebra. ICASSP (2021)
Vassilis Kalantzis, Yuanzhe Xi, Lior Horesh
Fast Randomized Non-Hermitian Eigensolvers Based on Rational Filtering and Matrix Partitioning. SIAM J. Sci. Comput. 43 (5) (2021)
Vassilis Kalantzis, Yuanzhe Xi, Lior Horesh
Fast randomized non-Hermitian eigensolver based on rational filtering and matrix partitioning. CoRR (2021)
Dong Hu, Shashanka Ubaru, Alex Gittens, Kenneth L. Clarkson, Lior Horesh, Vassilis Kalantzis
Sparse graph based sketching for fast numerical linear algebra. CoRR (2021)
Vassilis Kalantzis
A Domain Decomposition Rayleigh-Ritz Algorithm for Symmetric Generalized Eigenvalue Problems. SIAM J. Sci. Comput. 42 (6) (2020)
Vassilis Kalantzis, Georgios Kollias, Shashanka Ubaru, Athanasios N. Nikolakopoulos, Lior Horesh, Kenneth L. Clarkson
Projection techniques to update the truncated SVD of evolving matrices. CoRR (2020)
Aritra Bose, Vassilis Kalantzis, Eugenia-Maria Kontopoulou, Mai Elkady, Peristera Paschou, Petros Drineas
TeraPCA: a fast and scalable software package to study genetic variation in tera-scale genotypes. Bioinform. 35 (19) (2019)
Athanasios N. Nikolakopoulos, Vassilis Kalantzis, Efstratios Gallopoulos, John D. Garofalakis
EigenRec: generalizing PureSVD for effective and efficient top-N recommendations. Knowl. Inf. Syst. 58 (1) (2019)
Jared Lee Aurentz, Anthony P. Austin, Michele Benzi, Vassilis Kalantzis
Stable Computation of Generalized Matrix Functions via Polynomial Interpolation. SIAM J. Matrix Anal. Appl. 40 (1) (2019)
Vassilis Kalantzis, James Kestyn, Eric Polizzi, Yousef Saad
Domain decomposition approaches for accelerating contour integration eigenvalue solvers for symmetric eigenvalue problems. Numer. Linear Algebra Appl. 25 (5) (2018)
Vassilis Kalantzis, A. Cristiano I. Malossi, Costas Bekas, Alessandro Curioni, Efstratios Gallopoulos, Yousef Saad
A scalable iterative dense linear system solver for multiple right-hand sides in data analytics. Parallel Comput. 74 (2018)
Vassilis Kalantzis, Yuanzhe Xi, Yousef Saad
Beyond Automated Multilevel Substructuring: Domain Decomposition with Rational Filtering. SIAM J. Sci. Comput. 40 (4) (2018)
Geoffrey Dillon, Vassilis Kalantzis, Yuanzhe Xi, Yousef Saad
A Hierarchical Low Rank Schur Complement Preconditioner for Indefinite Linear Systems. SIAM J. Sci. Comput. 40 (4) (2018)
Jared Lee Aurentz, Vassilis Kalantzis, Yousef Saad
Cucheb: A GPU implementation of the filtered Lanczos procedure. Comput. Phys. Commun. 220 (2017)
Athanasios N. Nikolakopoulos, Vassilis Kalantzis, Efstratios Gallopoulos, John D. Garofalakis
Factored Proximity Models for Top-N Recommendations. ICBK (2017)
Lingfei Wu, Jesse Laeuchli, Vassilis Kalantzis, Andreas Stathopoulos, Efstratios Gallopoulos
Estimating the trace of the matrix inverse by interpolating from the diagonal of an approximate inverse. J. Comput. Phys. 326 (2016)
Athanasios N. Nikolakopoulos, Vassilis Kalantzis, John D. Garofalakis
EIGENREC: An Efficient and Scalable Latent Factor Family for Top-N Recommendation. CoRR (2015)
Lingfei Wu, Andreas Stathopoulos, Jesse Laeuchli, Vassilis Kalantzis, Efstratios Gallopoulos
Estimating the Trace of the Matrix Inverse by Interpolating from the Diagonal of an Approximate Inverse. CoRR (2015)
Vassilis Kalantzis
Fortifying computing in student societies: A focus on outreach initiatives. XRDS 22 (2) (2015)
Vassilis Kalantzis, Constantine Bekas, Alessandro Curioni, Efstratios Gallopoulos
Accelerating data uncertainty quantification by solving linear systems with multiple right-hand sides. Numer. Algorithms 62 (4) (2013)