Vassilis Kalantzis

According to our database, Vassilis Kalantzis authored at least 23 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Multi-Function Multi-Way Analog Technology for Sustainable Machine Intelligence Computation.

Vassilis Kalantzis, Mark S. Squillante, Shashanka Ubaru, Tayfun Gokmen, Chai Wah Wu, Anshul Gupta, Haim Avron, Tomasz Nowicki, Malte J. Rasch, O. Murat Onen, Vanessa López-Marrero, Effendi Leobandung, Yasuteru Kohda, Wilfried Haensch, Lior Horesh

CoRR, 2024

2023

Enhanced algebraic substructuring for symmetric generalized eigenvalue problems.

Vassilis Kalantzis, Lior Horesh

Numer. Linear Algebra Appl., March, 2023

Quantum Graph Transformers.

Georgios Kollias, Vassilis Kalantzis, Theodoros Salonidis, Shashanka Ubaru

Proceedings of the IEEE International Conference on Acoustics, 2023

Accelerating Matrix Trace Estimation by Aitken's Δ² Process.

Vassilis Kalantzis, Georgios Kollias, Shashanka Ubaru, Theodoros Salonidis

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

parGeMSLR: A parallel multilevel Schur complement low-rank preconditioning and solution package for general sparse matrices.

Tianshi Xu, Vassilis Kalantzis, Ruipeng Li, Yuanzhe Xi, Geoffrey Dillon, Yousef Saad

Parallel Comput., 2022

2021

Fast Randomized Non-Hermitian Eigensolvers Based on Rational Filtering and Matrix Partitioning.

Vassilis Kalantzis, Yuanzhe Xi, Lior Horesh

SIAM J. Sci. Comput., 2021

Fast randomized non-Hermitian eigensolver based on rational filtering and matrix partitioning.

Vassilis Kalantzis, Yuanzhe Xi, Lior Horesh

CoRR, 2021

Sparse Graph Based Sketching for Fast Numerical Linear Algebra.

Dong Hu, Shashanka Ubaru, Alex Gittens, Kenneth L. Clarkson, Lior Horesh, Vassilis Kalantzis

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

A Domain Decomposition Rayleigh-Ritz Algorithm for Symmetric Generalized Eigenvalue Problems.

Vassilis Kalantzis

SIAM J. Sci. Comput., 2020

Projection techniques to update the truncated SVD of evolving matrices.

Vassilis Kalantzis, Georgios Kollias, Shashanka Ubaru, Athanasios N. Nikolakopoulos, Lior Horesh, Kenneth L. Clarkson

CoRR, 2020

2019

Stable Computation of Generalized Matrix Functions via Polynomial Interpolation.

Jared Lee Aurentz, Anthony P. Austin, Michele Benzi, Vassilis Kalantzis

SIAM J. Matrix Anal. Appl., 2019

EigenRec: generalizing PureSVD for effective and efficient top-N recommendations.

Athanasios N. Nikolakopoulos, Vassilis Kalantzis, Efstratios Gallopoulos, John D. Garofalakis

Knowl. Inf. Syst., 2019

TeraPCA: a fast and scalable software package to study genetic variation in tera-scale genotypes.

Aritra Bose, Vassilis Kalantzis, Eugenia-Maria Kontopoulou, Mai Elkady, Peristera Paschou, Petros Drineas

Bioinform., 2019

2018

Beyond Automated Multilevel Substructuring: Domain Decomposition with Rational Filtering.

Vassilis Kalantzis, Yuanzhe Xi, Yousef Saad

SIAM J. Sci. Comput., 2018

A Hierarchical Low Rank Schur Complement Preconditioner for Indefinite Linear Systems.

Geoffrey Dillon, Vassilis Kalantzis, Yuanzhe Xi, Yousef Saad

SIAM J. Sci. Comput., 2018

A scalable iterative dense linear system solver for multiple right-hand sides in data analytics.

Vassilis Kalantzis, A. Cristiano I. Malossi, Costas Bekas, Alessandro Curioni, Efstratios Gallopoulos, Yousef Saad

Parallel Comput., 2018

Domain decomposition approaches for accelerating contour integration eigenvalue solvers for symmetric eigenvalue problems.

Vassilis Kalantzis, James Kestyn, Eric Polizzi, Yousef Saad

Numer. Linear Algebra Appl., 2018

2017

Cucheb: A GPU implementation of the filtered Lanczos procedure.

Jared Lee Aurentz, Vassilis Kalantzis, Yousef Saad

Comput. Phys. Commun., 2017

Factored Proximity Models for Top-N Recommendations.

Athanasios N. Nikolakopoulos, Vassilis Kalantzis, Efstratios Gallopoulos, John D. Garofalakis

Proceedings of the IEEE International Conference on Big Knowledge, 2017

2016

Estimating the trace of the matrix inverse by interpolating from the diagonal of an approximate inverse.

Lingfei Wu, Jesse Laeuchli, Vassilis Kalantzis, Andreas Stathopoulos, Efstratios Gallopoulos

J. Comput. Phys., 2016

2015

Fortifying computing in student societies: A focus on outreach initiatives.

Vassilis Kalantzis

XRDS, 2015

EIGENREC: An Efficient and Scalable Latent Factor Family for Top-N Recommendation.

Athanasios N. Nikolakopoulos, Vassilis Kalantzis, John D. Garofalakis

CoRR, 2015

2013

Accelerating data uncertainty quantification by solving linear systems with multiple right-hand sides.

Vassilis Kalantzis, Constantine Bekas, Alessandro Curioni, Efstratios Gallopoulos

Numer. Algorithms, 2013