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ORCIDVictor Eijkhout
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2020 – today
- 2024
[c18]Victor Eijkhout, Yojan Chitkara, Daksh Chaplot:
Performance analysis of a stencil code using modern C++. SC Workshops 2024: 876-885- 2022
- [j17]Mark F. Adams, Satish Balay, Oana Marin, Lois Curfman McInnes, Richard Tran Mills, Todd S. Munson, Hong Zhang, Junchao Zhang, Jed Brown, Victor Eijkhout, Jacob Faibussowitsch, Matthew G. Knepley, Fande Kong, Scott Kruger, Patrick Sanan, Barry F. Smith, Hong Zhang:
The PETSc Community as Infrastructure. Comput. Sci. Eng. 24(3): 6-15 (2022) - [i6]Mark F. Adams, Satish Balay, Oana Marin, Lois Curfman McInnes, Richard Tran Mills, Todd S. Munson, Hong Zhang, Junchao Zhang, Jed Brown, Victor Eijkhout, Jacob Faibussowitsch, Matthew G. Knepley, Fande Kong, Scott Kruger, Patrick Sanan, Barry F. Smith, Hong Zhang:
The PETSc Community Is the Infrastructure. CoRR abs/2201.00967 (2022) - 2021
- [j16]Chengyue Wu
, David A. Hormuth II, Ty Easley, Victor Eijkhout, Federico Pineda, Gregory S. Karczmar, Thomas E. Yankeelov:
An in silico validation framework for quantitative DCE-MRI techniques based on a dynamic digital phantom. Medical Image Anal. 73: 102186 (2021) - [c17]Si Liu, Victor Eijkhout, John Cazes:
Tools and Guidelines for Job Bundling on Modern Supercomputers. PEARC 2021: 6:1-6:8 - 2020
- [c16]Yu Pei, Qinglei Cao, George Bosilca, Piotr Luszczek, Victor Eijkhout, Jack J. Dongarra:
Communication Avoiding 2D Stencil Implementations over PaRSEC Task-Based Runtime. IPDPS Workshops 2020: 721-729 - [c15]Victor Eijkhout:
Performance of MPI Sends of Non-Contiguous Data. IPDPS Workshops 2020: 889-895 - [c14]Victor Eijkhout, Amit Ruhela:
An introduction to advanced features in MPI. PEARC Companion 2020: 1:1 - [c13]Christiaan P. Gribble, Victor Eijkhout, Paul A. Navrátil:
Implementing a Prototype System for 3D Reconstruction of Compressible Flow. PEARC 2020: 198-206
2010 – 2019
- 2019
- [i5]Victor Eijkhout, Margaret Myers, John D. McCalpin:
Appearances of the Birthday Paradox in High Performance Computing. CoRR abs/1909.12195 (2019) - 2018
- [j15]Victor Eijkhout:
Teaching distributed memory programming from mental models. J. Parallel Distributed Comput. 118(Part): 120-127 (2018) - [i4]Victor Eijkhout:
Performance of MPI sends of non-contiguous data. CoRR abs/1809.10778 (2018) - [i3]Victor Eijkhout:
Task Graph Transformations for Latency Tolerance. CoRR abs/1811.05077 (2018) - 2016
- [c12]Victor Eijkhout:
Teaching MPI from Mental Models. EduHPC@SC 2016: 14-18 - [i2]Victor Eijkhout:
A mathematical formalization of data parallel operations. CoRR abs/1602.02409 (2016) - 2014
- [j14]Kyungjoo Kim, Victor Eijkhout:
A Parallel Sparse Direct Solver via Hierarchical DAG Scheduling. ACM Trans. Math. Softw. 41(1): 3:1-3:27 (2014) - [c11]Victor Eijkhout:
A DSL for Integrative Parallel Programming. ISPDC 2014: 27-34 - 2013
- [c10]Kyungjoo Kim, Victor Eijkhout:
Scheduling a Parallel Sparse Direct Solver to Multiple GPUs. IPDPS Workshops 2013: 1401-1408 - 2012
- [c9]Victor Eijkhout:
International Conference on Computational Science, ICCS 2012 A Theory of Data Movement in Parallel Computations. ICCS 2012: 236-245 - [p3]Victor Eijkhout, Robert A. van de Geijn:
The Spike Factorization as Domain Decomposition Method; Equivalent and Variant Approaches. High-Performance Scientific Computing 2012: 157-169 - 2011
- [i1]Julio Enrique Castrillón-Candás, Jun Li, Victor Eijkhout:
A Discrete Adapted Hierarchical Basis Solver For Radial Basis Function Interpolation. CoRR abs/1104.2504 (2011) - 2010
- [c8]Victor Eijkhout, Paolo Bientinesi, Robert A. van de Geijn:
Towards mechanical derivation of Krylov solver libraries. ICCS 2010: 1805-1813 - [p2]Sanjukta Bhowmick, Victor Eijkhout, Yoav Freund, Erika Fuentes, David E. Keyes:
Application of Alternating Decision Trees in Selecting Sparse Linear Solvers. Software Automatic Tuning, From Concepts to State-of-the-Art Results 2010: 153-173
2000 – 2009
- 2009
- [j13]Victor Eijkhout, Erika Fuentes:
A Standard and Software for Numerical Metadata. ACM Trans. Math. Softw. 35(4): 25:1-25:20 (2009) - 2008
- [c7]Victor Eijkhout, Erika Fuentes:
Multi-stage Learning of Linear Algebra Algorithms. ICMLA 2008: 402-407 - 2007
- [j12]Alfredo Buttari, Victor Eijkhout, Julien Langou, Salvatore Filippone:
Performance Optimization and Modeling of Blocked Sparse Kernels. Int. J. High Perform. Comput. Appl. 21(4): 467-484 (2007) - 2006
- [j11]Jack J. Dongarra, George Bosilca, Zizhong Chen, Victor Eijkhout, Graham E. Fagg, Erika Fuentes, Julien Langou, Piotr Luszczek, Jelena Pjesivac-Grbovic, Keith Seymour, Haihang You, Sathish S. Vadhiyar:
Self-adapting numerical software (SANS) effort. IBM J. Res. Dev. 50(2-3): 223-238 (2006) - [p1]Victor Eijkhout, Julien Langou, Jack J. Dongarra:
Parallel Linear Algebra Software. Parallel Processing for Scientific Computing 2006: 233-247 - 2005
- [j10]Victor Eijkhout, Erika Fuentes, Thomas Eidson, Jack J. Dongarra:
The Component Structure of a Self-Adapting Numerical Software System. Int. J. Parallel Program. 33(2-3): 137-143 (2005) - [j9]Richard Carl Demmel, Jack J. Dongarra, Victor Eijkhout, Erika Fuentes, Antoine Petitet, Richard W. Vuduc, R. Clint Whaley, Katherine A. Yelick:
Self-Adapting Linear Algebra Algorithms and Software. Proc. IEEE 93(2): 293-312 (2005) - 2004
- [c6]Thomas Eidson, Victor Eijkhout, Jack J. Dongarra:
Improvements in the Efficient Composition of Applications Built Using a Component-Based Programming Environment. IPDPS Next Generation Software Program - NSFNGS - PI Workshop 2004 - 2003
- [j8]Jack J. Dongarra, Victor Eijkhout:
Self-Adapting Numerical Software for Next Generation Applications. Int. J. High Perform. Comput. Appl. 17(2): 125-131 (2003) - [c5]Jack J. Dongarra, Victor Eijkhout:
Self-Adapting Numerical Software and Automatic Tuning of Heuristics. International Conference on Computational Science 2003: 759-770 - [c4]Thomas Eidson, Jack J. Dongarra, Victor Eijkhout:
Applying Aspect-Orient Programming Concepts to a Component-Based Programming Model. IPDPS 2003: 205 - 2001
- [j7]Jack J. Dongarra, Victor Eijkhout, Piotr Luszczek:
Recursive approach in sparse matrix LU factorization. Sci. Program. 9(1): 51-60 (2001) - [j6]Jack J. Dongarra, Victor Eijkhout, Henk A. van der Vorst:
An iterative solver benchmark. Sci. Program. 9(4): 223-231 (2001) - 2000
- [j5]Tony F. Chan, Victor Eijkhout:
Design of a Library of Parallel Preconditioners. Int. J. High Perform. Comput. Appl. 14(2): 91-101 (2000)
1990 – 1999
- 1999
- [c3]Victor Eijkhout:
Multilevel Preconditioners Based on Domain Partitioning. PP 1999 - 1994
- [b2]Richard F. Barrett, Michael W. Berry, Tony F. Chan, James Demmel, June M. Donato, Jack J. Dongarra, Victor Eijkhout, Roldan Pozo, Charles H. Romine, Henk A. van der Vorst:
Templates for the Solution of Linear Systems: Building Blocks for Iterative Methods. Other Titles in Applied Mathematics, SIAM 1994, ISBN 978-0-89871-328-2, pp. 1-118 - 1993
- [c2]Eduardo F. D'Azevedo, Victor Eijkhout, Charles H. Romine:
A Matrix Framework for Conjugate Gradient Methods and Some Variants of CG with Less Synchronization Overhead. PPSC 1993: 644-646 - 1991
- [b1]Victor Eijkhout:
Tex by topic - a texnicians's reference. Addison-Wesley 1991, ISBN 978-0-201-56882-0, pp. I-VII, 1-307 - [j4]Victor Eijkhout, Panayot S. Vassilevski:
The Role of the Strengthened Cauchy-Buniakowskii-Schwarz Inequality in Multilevel Methods. SIAM Rev. 33(3): 405-419 (1991) - [j3]Owe Axelsson, Victor Eijkhout:
The Nested Recursive Two-Level Factorization Method for Nine-Point Difference Matrices. SIAM J. Sci. Comput. 12(6): 1373-1400 (1991) - 1990
- [c1]Victor Eijkhout:
Implementation of 5-point/9-point multi-level methods on hypercube architectures. ICS 1990: 291-295
1980 – 1989
- 1989
- [j2]Victor Eijkhout, Panayot S. Vassilevski:
Positive definiteness aspects of vectorizable preconditioners. Parallel Comput. 10(1): 93-100 (1989) - 1986
- [j1]Owe Axelsson, Victor Eijkhout:
A note on the vectorization of scalar recursions. Parallel Comput. 3(1): 73-83 (1986)
Coauthor Index
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