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ORCIDMasha Sosonkina
Maria Sosonkina – Maria Sosonkina Driver Jr.
Person information
- affiliation: Old Dominion University, Norfolk, VA, USA
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2020 – today
- 2024
[j43]Masha Sosonkina
, Gabriel Mateescu, Peng Xu, Tosaporn Sattasathuchana, Buu Pham, Mark S. Gordon, Sarom S. Leang:
Runtime performance of a GAMESS quantum chemistry application offloaded to GPUs. Concurr. Comput. Pract. Exp. 36(23) (2024)- 2023
- [c76]Yuzhong Shen, Masha Sosonkina:
A Project-Based Approach for Teaching Numerical Integration in Continuous Simulation. ANNSIM 2023: 462-471 - 2021
- [j42]Carola Kruse, Masha Sosonkina, Mario Arioli, Nicolas Tardieu, Ulrich Rüde:
Parallel solution of saddle point systems with nested iterative solvers based on the Golub-Kahan Bidiagonalization. Concurr. Comput. Pract. Exp. 33(11) (2021) - [j41]Evan Coleman, Erik J. Jensen, Masha Sosonkina:
Fault Recovery Methods for Asynchronous Linear Solvers. Int. J. Parallel Program. 49(1): 51-80 (2021) - 2020
- [j40]Vaibhav Sundriyal, Masha Sosonkina, David Poole, Mark S. Gordon:
Runtime power allocation approach for GAMESS hybrid CPU-GPU implementation. Concurr. Comput. Pract. Exp. 32(24) (2020) - [j39]Gary Lawson, Masha Sosonkina, Tal Ezer, Yuzhong Shen:
Applying EMD/HHT analysis to power traces of applications executed on systems with Intel Xeon Phi. Int. J. High Perform. Comput. Appl. 34(2) (2020) - [i4]Carola Kruse, Masha Sosonkina, Mario Arioli, Nicolas Tardieu, Ulrich Rüde:
Parallel solution of saddle point systems with nested iterative solvers based on the Golub-Kahan Bidiagonalization. CoRR abs/2001.10424 (2020)
2010 – 2019
- 2019
- [j38]Vaibhav Sundriyal, Kristopher Keipert, Masha Sosonkina, Mark S. Gordon:
Effect of frequency scaling granularity on energy-saving strategies. Int. J. High Perform. Comput. Appl. 33(4) (2019) - [j37]Ellie Fought, Vaibhav Sundriyal, Masha Sosonkina, Theresa L. Windus:
Improving efficiency of semi-direct møller-plesset second-order perturbation methods through oversubscription on multiple nodes. J. Comput. Chem. 40(24): 2146-2157 (2019) - [j36]Erik J. Jensen, Evan Coleman, Masha Sosonkina:
Predictive modeling of the performance of asynchronous iterative methods. J. Supercomput. 75(8): 5084-5105 (2019) - [c75]Carola Kruse, Masha Sosonkina, Mario Arioli, Nicolas Tardieu, Ulrich Rüde:
Parallel Performance of an Iterative Solver Based on the Golub-Kahan Bidiagonalization. PPAM (1) 2019: 104-116 - [c74]Evan Coleman, Erik J. Jensen, Masha Sosonkina:
Enhancing Asynchronous Linear Solvers Through Randomization. SpringSim 2019: 1-12 - [c73]Vaibhav Sundriyal, Masha Sosonkina, Bryce M. Westheimer:
Comparing Frequency Scaling Efficacy on Different Memory Technologies. SpringSim 2019: 1-10 - [c72]Wirawan Purwanto, Hongyi Wu, Masha Sosonkina, Karina Arcaute:
DeapSECURE: Empowering Students for Data- and Compute-Intensive Research in Cybersecurity through Training. PEARC 2019: 81 - 2018
- [j35]Vaibhav Sundriyal, Masha Sosonkina:
Modeling of the CPU frequency to minimize energy consumption in parallel applications. Sustain. Comput. Informatics Syst. 17: 1-8 (2018) - [j34]Evan Coleman, Masha Sosonkina:
Self-stabilizing fine-grained parallel incomplete LU factorization. Sustain. Comput. Informatics Syst. 19: 291-304 (2018) - [c71]Evan Coleman, Erik J. Jensen, Masha Sosonkina:
Impacts of Three Soft-Fault Models on Hybrid Parallel Asynchronous Iterative Methods. SBAC-PAD 2018: 458-465 - [c70]Evan Coleman, Masha Sosonkina:
Convergence and resilience of the fine-grained parallel incomplete LU factorization for non-symmetric problems. SpringSim (HPC) 2018: 7:1-7:12 - [c69]Erik J. Jensen, Masha Sosonkina:
Modeling a task-based matrix-matrix multiplication application for resilience decision making. SpringSim (HPC) 2018: 10:1-10:11 - [c68]Vaibhav Sundriyal, Masha Sosonkina, Bryce M. Westheimer, Mark S. Gordon:
Comparisons of core and uncore frequency scaling modes in quantum chemistry application GAMESS. SpringSim (HPC) 2018: 13:1-13:11 - [e4]Layne T. Watson, Masha Sosonkina, William I. Thacker, Josef Weinbub:
Proceedings of the High Performance Computing Symposium, SpringSim (HPC) 2018, Baltimore, MD, USA, April 15-18, 2018. ACM 2018 [contents] - 2017
- [j33]Vaibhav Sundriyal, Masha Sosonkina:
Runtime power-aware energy-saving scheme for parallel applications. Int. J. High Perform. Syst. Archit. 7(3): 129-139 (2017) - [j32]Ellie Fought, Vaibhav Sundriyal, Masha Sosonkina, Theresa L. Windus:
Saving time and energy with oversubscription and semi-direct Møller-Plesset second order perturbation methods. J. Comput. Chem. 38(11): 830-841 (2017) - [c67]Gary Lawson, Masha Sosonkina, Tal Ezer, Yuzhong Shen:
Empirical Mode Decomposition for Modeling of Parallel Applications on Intel Xeon Phi Processors. CCGrid 2017: 1000-1008 - [c66]Evan Coleman, Aygul Jamal, Marc Baboulin, Amal Khabou, Masha Sosonkina:
A Comparison of Soft-Fault Error Models in the Parallel Preconditioned Flexible GMRES. PPAM (1) 2017: 36-46 - [c65]Gary Lawson, Masha Sosonkina, Tal Ezer, Yuzhong Shen:
Applicability of the Empirical Mode Decomposition for Power Traces of Large-Scale Applications. PPAM (2) 2017: 71-80 - [c64]Evan Coleman, Masha Sosonkina, Edmond Chow:
Fault tolerant variants of the fine-grained parallel incomplete LU factorization. SpringSim (HPC) 2017: 15:1-15:12 - [c63]Vaibhav Sundriyal, Ellie Fought, Masha Sosonkina, Theresa L. Windus:
Evaluating effects of application based and automatic energy saving strategies on NWChem. SpringSim (HPC) 2017: 16:1-16:12 - [e3]Lukás Polok, Masha Sosonkina, William I. Thacker, Josef Weinbub:
Proceedings of the 25th High Performance Computing Symposium, Virginia Beach, VA, USA, April 23 - 26, 2017. ACM 2017, ISBN 978-1-5108-3822-2 [contents] - 2016
- [j31]Tomás Dytrych, Pieter Maris, Kristina D. Launey, Jerry P. Draayer, James P. Vary, Daniel Langr, Erik Saule, Mark A. Caprio, Ümit V. Çatalyürek, Masha Sosonkina:
Efficacy of the SU(3) scheme for ab initio large-scale calculations beyond the lightest nuclei. Comput. Phys. Commun. 207: 202-210 (2016) - [j30]Bruno Carpentieri, Jia Liao, Masha Sosonkina, Aldo Bonfiglioli, Sven Baars:
Using the VBARMS method in parallel computing. Parallel Comput. 57: 197-211 (2016) - [j29]Vaibhav Sundriyal, Masha Sosonkina:
Joint frequency scaling of processor and DRAM. J. Supercomput. 72(4): 1549-1569 (2016) - [c62]Gary Lawson, Vaibhav Sundriyal, Masha Sosonkina, Yuzhong Shen:
Runtime Power Limiting of Parallel Applications on Intel Xeon Phi Processors. E2SC@SC 2016: 39-45 - [c61]Vaibhav Sundriyal, Ellie Fought, Masha Sosonkina, Theresa L. Windus:
Power profiling and evaluating the effect of frequency scaling on NWChem. SpringSim (HPS) 2016: 19 - [c60]Aygul Jamal, Marc Baboulin, Amal Khabou, Masha Sosonkina:
A Hybrid CPU/GPU Approach for the Parallel Algebraic Recursive Multilevel Solver pARMS. SYNASC 2016: 411-416 - 2015
- [j28]Dossay Oryspayev, Hasan Metin Aktulga, Masha Sosonkina, Pieter Maris, James P. Vary:
Performance analysis of distributed symmetric sparse matrix vector multiplication algorithm for multi-core architectures. Concurr. Comput. Pract. Exp. 27(17): 5019-5036 (2015) - [j27]Masha Sosonkina, Layne T. Watson, Jian He:
Remark on Algorithm 897: VTDIRECT95: Serial and Parallel Codes for the Global Optimization Algorithm DIRECT. ACM Trans. Math. Softw. 41(3): 22:1-22:2 (2015) - [c59]Marc Baboulin, Aygul Jamal, Masha Sosonkina:
Using Random Butterfly Transformations in parallel schur complement-based preconditioning. FedCSIS 2015: 649-654 - [c58]Gary Lawson, Masha Sosonkina, Yuzhong Shen:
Changing CPU Frequency in CoMD Proxy Application Offloaded to Intel Xeon Phi Co-processors. ICCS 2015: 100-109 - [c57]Gary Lawson, Vaibhav Sundriyal, Masha Sosonkina, Yuzhong Shen:
Modeling performance and energy for applications offloaded to Intel Xeon Phi. Co-HPC@SC 2015: 7:1-7:8 - [c56]Issakar Ngatang, Masha Sosonkina:
Strategies to hide communication for a classical molecular dynamics proxy application. SpringSim (HPS) 2015: 210-216 - [e2]Layne T. Watson, Josef Weinbub, Masha Sosonkina, William I. Thacker:
Proceedings of the Symposium on High Performance Computing, HPC 2015, part of the 2015 Spring Simulation Multiconference, SpringSim '15, Alexandria, VA, USA, April 12-15, 2015. SCS/ACM 2015, ISBN 978-1-5108-0101-1 [contents] - [e1]Karl Rupp, Layne T. Watson, William I. Thacker, Masha Sosonkina:
Proceedings of the Symposium on Modeling and Simulation in Medicine, part of the 2015 Spring Simulation Multiconference, SpringSim '15, Alexandria, VA, USA, April 12-15, 2015. SCS/ACM 2015, ISBN 978-1-5108-0102-8 [contents] - [i3]Gary Lawson, Masha Sosonkina, Yuzhong Shen:
Towards Modeling Energy Consumption of Xeon Phi. CoRR abs/1505.06539 (2015) - [i2]Bruno Carpentieri, Jia Liao, Masha Sosonkina, Aldo Bonfiglioli:
Using the VBARMS method in parallel computing. CoRR abs/1508.02219 (2015) - [i1]Gary Lawson, Vaibhav Sundriyal, Masha Sosonkina, Yuzhong Shen:
Experimentation Procedure for Offloaded Mini-Apps Executed on Cluster Architectures with Xeon Phi Accelerators. CoRR abs/1509.02135 (2015) - 2014
- [j26]Vaibhav Sundriyal, Masha Sosonkina, Alexander Gaenko:
Energy efficient communications in quantum chemistry applications. Comput. Sci. Res. Dev. 29(2): 149-158 (2014) - [j25]Bruno Carpentieri, Jia Liao, Masha Sosonkina:
VBARMS: A variable block algebraic recursive multilevel solver for sparse linear systems. J. Comput. Appl. Math. 259: 164-173 (2014) - [j24]Eugene Vecharynski, Yousef Saad, Masha Sosonkina:
Graph Partitioning Using Matrix Values for Preconditioning Symmetric Positive Definite Systems. SIAM J. Sci. Comput. 36(1) (2014) - [j23]Vaibhav Sundriyal, Masha Sosonkina, Zhao Zhang:
Automatic runtime frequency-scaling system for energy savings in parallel applications. J. Supercomput. 68(2): 777-797 (2014) - [c55]Gary Lawson, Masha Sosonkina, Yuzhong Shen:
Energy Evaluation for Applications with Different Thread Affinities on the Intel Xeon Phi. SBAC-PAD (Workshops) 2014: 54-59 - [c54]Gary Lawson, Masha Sosonkina, Yuzhong Shen:
Performance and energy evaluation of CoMD on Intel Xeon Phi co-processors. Co-HPC@SC 2014: 49-54 - [c53]Hao Ji, Masha Sosonkina, Yaohang Li:
An implementation of block conjugate gradient algorithm on CPU-GPU processors. Co-HPC@SC 2014: 72-77 - 2013
- [j22]Vaibhav Sundriyal, Masha Sosonkina, Zhao Zhang:
Achieving energy efficiency during collective communications. Concurr. Comput. Pract. Exp. 25(15): 2140-2156 (2013) - [j21]Scott Bogner, Aurel Bulgac, Joseph A. Carlson, Jonathan Engel, George L. Fann, Richard J. Furnstahl, Stefano Gandolfi, Gaute Hagen, Mihai Horoi, Calvin W. Johnson, Markus Kortelainen, Ewing L. Lusk, Pieter Maris, Hai Ah Nam, Petr Navratil, Witold Nazarewicz, Esmond G. Ng, Gustavo P. A. Nobre, W. Erich Ormand, Thomas Papenbrock, Junchen Pei, Steven C. Pieper, Sofia Quaglioni, Kenneth J. Roche, Jason Sarich, Nicolas Schunck, Masha Sosonkina, Jun Terasaki, Ian J. Thompson, James P. Vary, Stefan M. Wild:
Computational nuclear quantum many-body problem: The UNEDF project. Comput. Phys. Commun. 184(10): 2235-2250 (2013) - [j20]Vaibhav Sundriyal, Masha Sosonkina, Alexander Gaenko, Zhao Zhang:
Energy saving strategies for parallel applications with point-to-point communication phases. J. Parallel Distributed Comput. 73(8): 1157-1169 (2013) - [j19]Masha Sosonkina, Layne T. Watson, Nicholas R. Radcliffe, Raphael T. Haftka, Michael W. Trosset:
Adjusting process count on demand for petascale global optimization. Parallel Comput. 39(1): 21-35 (2013) - [c52]Dossay Oryspayev, Hugh D. Potter, Pieter Maris, Masha Sosonkina, James P. Vary, Sven Binder, Angelo Calci, Joachim Langhammer, Robert Roth:
Leveraging GPUs in Ab Initio Nuclear Physics Calculations. IPDPS Workshops 2013: 1365-1372 - [c51]Adrien Rémy, Marc Baboulin, Masha Sosonkina, Brigitte Rozoy:
Locality Optimization on a NUMA Architecture for Hybrid LU Factorization. PARCO 2013: 153-162 - [c50]Bruno Carpentieri, Jia Liao, Masha Sosonkina:
Variable Block Algebraic Recursive Multilevel Solver (VBARMS) for Sparse Linear Systems. PARCO 2013: 163-172 - [c49]Bruno Carpentieri, Jia Liao, Masha Sosonkina:
Variable Block Multilevel Iterative Solution of General Sparse Linear Systems. PPAM (2) 2013: 520-530 - [c48]Vaibhav Sundriyal, Masha Sosonkina:
Initial investigation of a scheme to use instantaneous CPU power consumption for energy savings format. E2SC@SC 2013: 1:1-1:6 - 2012
- [c47]Chathura Herath, Fang Liu, Suresh Marru, Lahiru Gunathilake, Masha Sosonkina, James P. Vary, Pieter Maris, Marlon E. Pierce:
Web Service andWorkflow Abstractions to Large Scale Nuclear Physics Calculations. IEEE SCC 2012: 703-710 - [c46]Vaibhav Sundriyal, Masha Sosonkina, Alexander Gaenko:
Runtime Procedure for Energy Savings in Applications with Point-to-Point Communications. SBAC-PAD 2012: 155-162 - [c45]Avinash Srinivasa, Masha Sosonkina, Pieter Maris, James P. Vary:
Effcient Shared-array Accesses in Ab Initio Nuclear Structure Calculations on Multicore Architectures. ICCS 2012: 256-265 - [c44]Sai Kiran Talamudupula, Masha Sosonkina, Alexander Gaenko, Michael W. Schmidt:
Fragment Molecular Orbital Method Adaptations for Heterogeneous Computing Platforms. ICCS 2012: 489-497 - 2011
- [c43]Nicholas R. Radcliffe, Layne T. Watson, Masha Sosonkina:
A comparison of alternatives for communicating with spawned processes. ACM Southeast Regional Conference 2011: 132-137 - [c42]Vaibhav Sundriyal, Masha Sosonkina, Fang Liu, Michael W. Schmidt:
Dynamic Frequency Scaling and Energy Saving in Quantum Chemistry Applications. IPDPS Workshops 2011: 837-845 - [c41]Avinash Srinivasa, Masha Sosonkina, Pieter Maris, James P. Vary:
Dynamic Adaptations in ab-initio Nuclear Physics Calculations on Multicore Computer Architectures. IPDPS Workshops 2011: 1332-1339 - [c40]Vaibhav Sundriyal, Masha Sosonkina:
Per-call Energy Saving Strategies in All-to-All Communications. EuroMPI 2011: 188-197 - [c39]Fang Liu, Ritu Mundhe, Masha Sosonkina, Chase Cockrell, Miles Aronnax, Pieter Maris, James P. Vary:
A data management system for ab-initio nuclear physics applications. SpringSim (HPC) 2011: 40-47 - [c38]Sai Kiran Talamudupula, Masha Sosonkina, Michael W. Schmidt:
Asynchronous invocation of adaptations in electronic structure calculations. SpringSim (HPC) 2011: 111-117 - [c37]Nicholas R. Radcliffe, Masha Sosonkina, Layne T. Watson:
Communication with spawned processes. SpringSim (HPC) 2011: 126-133 - [c36]Fang Liu, Masha Sosonkina:
A Multilevel Parallelism Support for Multi-Physics Coupling. ICCS 2011: 261-270 - 2010
- [c35]Fang Liu, Masha Sosonkina, Randall Bramley:
A New Approach: Component-Based Multi-physics Coupling through CCA-LISI. ICCSA (2) 2010: 503-518 - [c34]Lakshminarasimhan Seshagiri, Meng-Shiou Wu, Masha Sosonkina, Zhao Zhang, Mark S. Gordon, Michael W. Schmidt:
Enhancing adaptive middleware for quantum chemistry applications with a database framework. IPDPS Workshops 2010: 1-8 - [c33]Pieter Maris, Masha Sosonkina, James P. Vary, Esmond G. Ng, Chao Yang:
Scaling of ab-initio nuclear physics calculations on multicore computer architectures. ICCS 2010: 97-106 - [p1]Lakshminarasimhan Seshagiri, Meng-Shiou Wu, Masha Sosonkina, Zhao Zhang:
Exploring Tuning Strategies for Quantum Chemistry Computations. Software Automatic Tuning, From Concepts to State-of-the-Art Results 2010: 193-208
2000 – 2009
- 2009
- [j18]Jian He, Alex Verstak, Layne T. Watson, Masha Sosonkina:
Performance Modeling and Analysis of a Massively Parallel Direct - Part 1. Int. J. High Perform. Comput. Appl. 23(1): 14-28 (2009) - [j17]Jian He, Alex Verstak, Masha Sosonkina, Layne T. Watson:
Performance Modeling and Analysis of a Massively Parallel Direct - Part 2. Int. J. High Perform. Comput. Appl. 23(1): 29-41 (2009) - [j16]Jian He, Layne T. Watson, Masha Sosonkina:
Algorithm 897: VTDIRECT95: Serial and parallel codes for the global optimization algorithm direct. ACM Trans. Math. Softw. 36(3): 17:1-17:24 (2009) - [c32]Lakshminarasimhan Seshagiri, Masha Sosonkina, Zhao Zhang:
Electronic Structure Calculations and Adaptation Scheme in Multi-core Computing Environments. ICCS (1) 2009: 3-12 - [c31]Nikhil Laghave, Masha Sosonkina, Pieter Maris, James P. Vary:
Benefits of Parallel I/O in Ab Initio Nuclear Physics Calculations. ICCS (1) 2009: 84-93 - [c30]Teena P. Gulabani, Masha Sosonkina, Mark S. Gordon, Curtis L. Janssen, Joseph P. Kenny, Heather Netzloff, Theresa L. Windus:
Development of high performance scientific components for interoperability of computing packages. SpringSim 2009 - [c29]Fang Liu, Masha Sosonkina, Randall Bramley:
A HPC sparse solver interface for scalable multilevel methods. SpringSim 2009 - [c28]Jingwei Zhang, Masha Sosonkina, Layne T. Watson, Yang Cao:
Parallel solution of the chemical master equation. SpringSim 2009 - 2008
- [j15]Jian He, Alex Verstak, Layne T. Watson, Masha Sosonkina:
Design and implementation of a massively parallel version of DIRECT. Comput. Optim. Appl. 40(2): 217-245 (2008) - [j14]Masha Sosonkina, Fang Liu, Randall Bramley:
Usability levels for sparse linear algebra components. Concurr. Comput. Pract. Exp. 20(12): 1439-1454 (2008) - [j13]Guy Antoine Atenekeng Kahou, Laura Grigori, Masha Sosonkina:
A partitioning algorithm for block-diagonal matrices with overlap. Parallel Comput. 34(6-8): 332-344 (2008) - [j12]Joseph P. Kenny, Curtis L. Janssen, Mark S. Gordon, Masha Sosonkina, Theresa L. Windus:
A component approach to collaborative scientific software development: Tools and techniques utilized by the Quantum Chemistry Science Application Partnership. Sci. Program. 16(4): 287-296 (2008) - [c27]Jingwei Zhang, Layne T. Watson, Masha Sosonkina, Yang Cao:
Analysis of Goldbeter-Koshland Switch Using the Chemical Master Equation. BIOCOMP 2008: 361-367 - [c26]Masha Sosonkina, Anurag Sharda, Alina Negoita, James P. Vary:
Integration of Ab Initio Nuclear Physics Calculations with Optimization Techniques. ICCS (1) 2008: 833-842 - [c25]Philip Sternberg, Esmond G. Ng, Chao Yang, Pieter Maris, James P. Vary, Masha Sosonkina, Hung Viet Le:
Accelerating configuration interaction calculations for nuclear structure. SC 2008: 15 - [c24]Meng-Shiou Wu, Hirotoshi Mori, Jonathan L. Bentz, Theresa L. Windus, Heather Netzloff, Masha Sosonkina, Mark S. Gordon:
Constructing a performance database for large-scale quantum chemistry packages. SpringSim 2008: 393-400 - 2007
- [j11]J. Jones, Masha Sosonkina, Yousef Saad:
Component-based iterative methods for sparse linear systems. Concurr. Comput. Pract. Exp. 19(5): 625-635 (2007) - [c23]Meng-Shiou Wu, Jonathan L. Bentz, Fang Peng, Masha Sosonkina, Mark S. Gordon, Ricky A. Kendall:
Integrating Performance Tools with Large-Scale Scientific Software. IPDPS 2007: 1-8 - 2006
- [j10]Hai-Jun Su, J. Michael McCarthy, Masha Sosonkina, Layne T. Watson:
Algorithm 857: POLSYS_GLP - a parallel general linear product homotopy code for solving polynomial systems of equations. ACM Trans. Math. Softw. 32(4): 561-579 (2006) - [c22]Masha Sosonkina, Igor Tsukerman:
Parallel Solvers for Flexible Approximation Schemes in Multiparticle Simulation. International Conference on Computational Science (1) 2006: 54-62 - [c21]Nurzhan Ustemirov, Masha Sosonkina, Mark S. Gordon, Michael W. Schmidt:
Dynamic Algorithm Selection in Parallel GAMESS Calculations. ICPP Workshops 2006: 489-496 - [c20]Gabriel Mateescu, Masha Sosonkina:
IMAGE: an approach to building standards-based enterprise grids. IPDPS 2006 - [c19]Aldo Bonfiglioli, Bruno Carpentieri, Masha Sosonkina:
EulFS : A Parallel CFD Code for the Simulation of Euler and Navier-Stokes Problems on Unstructured Grids. PARA 2006: 676-685 - 2005
- [c18]Nurzhan Ustemirov, Masha Sosonkina:
Co-Scheduling Parallel Electronic Structure Calculations in SMP Cluster Environments. CLUSTER 2005: 1-2 - 2004
- [j9]Masha Sosonkina, Yousef Saad, Xing Cai:
Using the parallel algebraic recursive multilevel solver in modern physical applications. Future Gener. Comput. Syst. 20(3): 489-500 (2004) - [c17]Jian He, Masha Sosonkina, Clifford A. Shaffer, John J. Tyson, Layne T. Watson, Jason W. Zwolak:
A Hierarchical Parallel Scheme for Global Parameter Estimation in Systems Biology. IPDPS 2004 - [c16]Sam Storie, Masha Sosonkina:
Packet Probing as Network Load Detection for Scientific Applications at Run-Time. IPDPS 2004 - [c15]Masha Sosonkina:
Runtime Software Techniques for Enhancing High-Performance Applications: An introduction. PARA 2004: 690-690 - [c14]Masha Sosonkina:
Adapting Distributed Scientific Applications to Run-Time Network Conditions. PARA 2004: 747-755 - 2003
- [j8]Zhongze Li, Yousef Saad, Masha Sosonkina:
pARMS: a parallel version of the algebraic recursive multilevel solver. Numer. Linear Algebra Appl. 10(5-6): 485-509 (2003) - [c13]Xing Cai, Masha Sosonkina:
A Numerical Study of Some Parallel Algebraic Preconditioners. IPDPS 2003: 258 - 2002
- [j7]Masha Sosonkina, Donald C. S. Allison, Layne T. Watson:
Scalability analysis of parallel GMRES implementations. Parallel Algorithms Appl. 17(4): 263-284 (2002) - [c12]Devdatta Kulkarni, Masha Sosonkina:
Dynamic Network Information Collectionfor Distributed Scientific Application Adaptation. HiPC 2002: 555-563 - [c11]Xing Cai, Yousef Saad, Masha Sosonkina:
Parallel Iterative Methods in Modern Physical Applications. International Conference on Computational Science (2) 2002: 345-354 - [c10]Devdatta Kulkarni, Masha Sosonkina:
A Framework for Integrating Network Information into Distributed Iterative Solution of Sparse Linear Systems. VECPAR 2002: 436-450 - 2001
- [c9]Masha Sosonkina, Gan Chen:
Design of a Tool for Providing Dynamic Network Information to an Application. PaCT 2001: 350-357 - [c8]Yousef Saad, Masha Sosonkina:
pARMS: A Package for Solving General Sparse Linear Systems on Parallel Computers. PPAM 2001: 446-457 - [c7]Zhongze Li, Yousef Saad, Masha Sosonkina:
Parallelism in algebraic recursive solvers. PP 2001 - 2000
- [j6]Maria Sosonkina, John T. Melson, Yousef Saad, Layne T. Watson:
Preconditioning strategies for linear systems arising in tire design. Numer. Linear Algebra Appl. 7(7-8): 743-757 (2000) - [c6]Masha Sosonkina:
Runtime Adaptation of an Iterative Linear System Solution to Distributed Environments. PARA 2000: 131-139
1990 – 1999
- 1999
- [j5]Maria Sosonkina, Donald C. S. Allison, Layne T. Watson:
Parallel Adaptive GMRES Implementations for Homotopy Methods. SIAM J. Optim. 9(4): 1149-1158 (1999) - [j4]Yousef Saad, Maria Sosonkina:
Distributed Schur Complement Techniques for General Sparse Linear Systems. SIAM J. Sci. Comput. 21(4): 1337-1356 (1999) - [c5]Yousef Saad, Masha Sosonkina:
Non-standard Parallel Solution Strategies for Distributed Sparse Linear Systems. ACPC 1999: 13-27 - [c4]Yousef Saad, Masha Sosonkina:
Enhanced Parallel Multicolor Preconditioning Techniques for Linear Systems. PP 1999 - 1998
- [b1]Maria Sosonkina Driver Jr.:
Parallel Sparse Linear Algebra for Homotopy Methods. Virginia Tech, Blacksburg, VA, USA, 1998 - [j3]Maria Sosonkina, Layne T. Watson, Rakesh K. Kapania, Homer F. Walker:
A new adaptive GMRES algorithm for achieving high accuracy. Numer. Linear Algebra Appl. 5(4): 275-297 (1998) - [c3]Masha Sosonkina, Donald C. S. Allison, Layne T. Watson:
Scalable Parallel Implementations of the GMRES Algorithm via Householder Reflections. ICPP 1998: 396-404 - [c2]Yousef Saad, Masha Sosonkina:
Solution of Distributed Sparse Linear Systems Using PSPARSLIB. PARA 1998: 503-509 - 1997
- [j2]Layne T. Watson, Masha Sosonkina, Robert C. Melville, Alexander P. Morgan, Homer F. Walker:
Algorithm 777: HOMPACK90: A Suite of Fortran 90 Codes for Globally Convergent Homotopy Algorithms. ACM Trans. Math. Softw. 23(4): 514-549 (1997) - [c1]Masha Sosonkina, Donald C. S. Allison, Layne T. Watson:
Scalability of Adaptive GMRES Algorithm. PP 1997 - 1996
- [j1]Masha Sosonkina, Layne T. Watson, David E. Stewart:
Note on the End Game in Homotopy Zero Curve Tracking. ACM Trans. Math. Softw. 22(3): 281-287 (1996)
Coauthor Index
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of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-23 21:26 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
