Masha Sosonkina

发表

Dynamic algorithm selection in parallel GAMESS calculations

Nurzhan Ustemirov, Masha Sosonkina, Mark S. Gordon, 2006, 2006 International Conference on Parallel Processing Workshops (ICPPW'06).

Automatic runtime frequency-scaling system for energy savings in parallel applications

Zhao Zhang, Masha Sosonkina, Vaibhav Sundriyal, 2013, The Journal of Supercomputing.

Tackling component interoperability in quantum chemistry software

Masha Sosonkina, Fang Peng, Meng-Shiou Wu, 2007, CompFrame '07.

Variable Block Algebraic Recursive Multilevel Solver (VBARMS) for Sparse Linear Systems

Masha Sosonkina, Bruno Carpentieri, Jia Liao, 2013, PARCO.

Energy Evaluation for Applications with Different Thread Affinities on the Intel Xeon Phi

Yuzhong Shen, Masha Sosonkina, Gary Lawson, 2014, 2014 International Symposium on Computer Architecture and High Performance Computing Workshop.

Achieving energy efficiency during collective communications

Zhao Zhang, Masha Sosonkina, Vaibhav Sundriyal, 2013, Concurr. Comput. Pract. Exp..

Integrating Performance Tools with Large-Scale Scientific Software

Masha Sosonkina, Mark S. Gordon, Fang Peng, 2007, 2007 IEEE International Parallel and Distributed Processing Symposium.

Proceedings of the 25th High Performance Computing Symposium, Virginia Beach, VA, USA, April 23 - 26, 2017

Masha Sosonkina, Josef Weinbub, Lukas Polok, 2017, SpringSim.

Adapting Distributed Scientific Applications to Run-Time Network Conditions

Masha Sosonkina, 2004, PARA.

Comparisons of core and uncore frequency scaling modes in quantum chemistry application GAMESS

Masha Sosonkina, Mark S. Gordon, Vaibhav Sundriyal, 2018, SpringSim.

A component approach to collaborative scientific software development: Tools and techniques utilized by the Quantum Chemistry Science Application Partnership

Masha Sosonkina, Mark S. Gordon, Theresa L. Windus, 2008 .

Runtime Procedure for Energy Savings in Applications with Point-to-Point Communications

Masha Sosonkina, Vaibhav Sundriyal, Alexander Gaenko, 2012, 2012 IEEE 24th International Symposium on Computer Architecture and High Performance Computing.

A comparison of alternatives for communicating with spawned processes

Masha Sosonkina, Layne T. Watson, Nicholas R. Radcliffe, 2011, ACM-SE '11.

Packet probing as network load detection for scientific applications at run-time

Masha Sosonkina, Sam Storie, 2004, 18th International Parallel and Distributed Processing Symposium, 2004. Proceedings..

Using the VBARMS method in parallel computing

Masha Sosonkina, Bruno Carpentieri, Sven Baars, 2015, Parallel Comput..

Fault tolerant variants of the fine-grained parallel incomplete LU factorization

Edmond Chow, Masha Sosonkina, Evan Coleman, 2017, SpringSim.

Runtime power allocation approach for GAMESS hybrid CPU‐GPU implementation

Masha Sosonkina, Mark S. Gordon, Vaibhav Sundriyal, 2020, Concurr. Comput. Pract. Exp..

Using Random Butterfly Transformations in parallel schur complement-based preconditioning

Masha Sosonkina, Marc Baboulin, Aygul Jamal, 2015, 2015 Federated Conference on Computer Science and Information Systems (FedCSIS).

A data management system for ab-initio nuclear physics applications

Fang Liu, Masha Sosonkina, James P. Vary, 2011, SpringSim.

A component approach to collaborative scientific software development: Tools and techniques utilized by the Quantum Chemistry Science Application Partnership

Masha Sosonkina, Mark S. Gordon, Theresa L. Windus, 2008, Sci. Program..

Applied Parallel Computing. State of the Art in Scientific Computing

Masha Sosonkina, Bruno Carpentieri, Aldo Bonfiglioli, 2007 .

Design and Implementation of Scientific Software Components to Enable Multiscale Modeling: The Effective Fragment Potential (QM/EFP) Method.

Masha Sosonkina, Alexander Gaenko, Mark S Gordon, 2013, Journal of chemical theory and computation.

A Comparison of Soft-Fault Error Models in the Parallel Preconditioned Flexible GMRES

Masha Sosonkina, Marc Baboulin, Evan Coleman, 2017, PPAM.

Fault Recovery Methods for Asynchronous Linear Solvers

Masha Sosonkina, Evan Coleman, Erik J. Jensen, 2020 .

A new adaptive GMRES algorithm for achieving high accuracy

Rakesh K. Kapania, Masha Sosonkina, Layne T. Watson, 1998, Numer. Linear Algebra Appl..

Design of a Tool for Providing Dynamic Network Information to an Application

Gan Chen, Masha Sosonkina, 2001, PaCT.

Towards Modeling Energy Consumption of Xeon Phi pdf

Yuzhong Shen, Masha Sosonkina, Gary Lawson, 2015, ArXiv.

Web Service andWorkflow Abstractions to Large Scale Nuclear Physics Calculations

Fang Liu, Masha Sosonkina, Marlon E. Pierce, 2012, 2012 IEEE Ninth International Conference on Services Computing.

Accelerating configuration interaction calculations for nuclear structure

Masha Sosonkina, Chao Yang, Esmond G. Ng, 2008, 2008 SC - International Conference for High Performance Computing, Networking, Storage and Analysis.

SCALABILITY ANALYSIS OF PARALLEL GMRES IMPLEMENTATIONS

Masha Sosonkina, Layne T. Watson, Donald C. S. Allison, 2002, Parallel Algorithms Appl..

Enhancing Application Performance Using Mini-Apps: Comparison of Hybrid Parallel Programming Paradigms

Masha Sosonkina, Gary Lawson, Michael Poteat, 2016 .

Changing CPU Frequency in CoMD Proxy Application Offloaded to Intel Xeon Phi Co-processors

Yuzhong Shen, Masha Sosonkina, Gary Lawson, 2015, ICCS.

Modeling performance and energy for applications offloaded to Intel Xeon Phi

Yuzhong Shen, Masha Sosonkina, Vaibhav Sundriyal, 2015, Co-HPC@SC.

A parallel multilevel incomplete LU factorization preconditioner that exploits block matrix structures

Masha Sosonkina, Bruno Carpentieri, Jia Liao, 2014 .

Algorithm 777: HOMPACK90: a suite of Fortran 90 codes for globally convergent homotopy algorithms

Masha Sosonkina, Layne T. Watson, Homer F. Walker, 1997, TOMS.

Core and Uncore Joint Frequency Scaling Strategy

Masha Sosonkina, Vaibhav Sundriyal, Mark S. Gordon, 2018 .

pARMS: A Package for Solving General Sparse Linear Systems on Parallel Computers

Masha Sosonkina, Yousef Saad, Y. Saad, 2001, PPAM.

Implementing Asynchronous Linear Solvers Using Non-Uniform Distributions

Masha Sosonkina, Evan Coleman, Erik J. Jensen, 2020 .

Usability levels for sparse linear algebra components

Fang Liu, Masha Sosonkina, Randall Bramley, 2008, Concurr. Comput. Pract. Exp..

Effect of frequency scaling granularity on energy-saving strategies

Masha Sosonkina, Mark S. Gordon, Vaibhav Sundriyal, 2019, Int. J. High Perform. Comput. Appl..

A Framework for Integrating Network Information into Distributed Iterative Solution of Sparse Linear Systems

Masha Sosonkina, Devdatta Kulkarni, 2002, VECPAR.

An Implementation of Block Conjugate Gradient Algorithm on CPU-GPU Processors

Yaohang Li, Masha Sosonkina, Hao Ji, 2014, 2014 Hardware-Software Co-Design for High Performance Computing.

Comparing Frequency Scaling Efficacy on Different Memory Technologies

Masha Sosonkina, Vaibhav Sundriyal, Bryce M. Westheimer, 2019, 2019 Spring Simulation Conference (SpringSim).

Java Based Visulaization and Animation for Teaching The Dijkstra Shortest Path Algorithm in Transportation Networks

Yuzhong Shen, Masha Sosonkina, ManWo Ng, 2016 .

Non-uniform Memory Affinity Strategy in Multi-Threaded Sparse Matrix Computations

Masha Sosonkina, Avinash Srivinasa, 2011, HiPC 2012.

Using the parallel algebraic recursive multilevel solver in modern physical applications

Masha Sosonkina, Yousef Saad, Xing Cai, 2004, Future Gener. Comput. Syst..

A GPU Support for Large Scale Quantum Chemistry Applications

Fang Liu, Masha Sosonkina, Selva Kumar Sengottaiyan, 2012 .

Fragment Molecular Orbital Method Adaptations for Heterogeneous Computing Platforms

Masha Sosonkina, Michael W. Schmidt, Alexander Gaenko, 2012, ICCS.

Saving time and energy with oversubscription and semi‐direct Møller–Plesset second order perturbation methods

Masha Sosonkina, Vaibhav Sundriyal, Theresa L. Windus, 2017, J. Comput. Chem..

Benefits of Parallel I/O in Ab Initio Nuclear Physics Calculations

Masha Sosonkina, James P. Vary, Pieter Maris, 2009, ICCS.

Graph Partitioning Using Matrix Values for Preconditioning Symmetric Positive Definite Systems

Masha Sosonkina, Yousef Saad, Eugene Vecharynski, 2011, SIAM J. Sci. Comput..

Electronic Structure Calculations and Adaptation Scheme in Multi-core Computing Environments

Zhao Zhang, Masha Sosonkina, Lakshminarasimhan Seshagiri, 2009, ICCS.

Modeling of the CPU frequency to minimize energy consumption in parallel applications

Masha Sosonkina, Vaibhav Sundriyal, M. Sosonkina, 2018, Sustain. Comput. Informatics Syst..

Enhancing Asynchronous Linear Solvers Through Randomization

Masha Sosonkina, Evan Coleman, Erik J. Jensen, 2019, 2019 Spring Simulation Conference (SpringSim).

Runtime Software Techniques for Enhancing High-Performance Applications: An introduction

Masha Sosonkina, 2004, PARA.

Energy-Efficient Computational Chemistry: Comparison of x86 and ARM Systems.

Masha Sosonkina, Mark S Gordon, Kristopher Keipert, 2015, Journal of chemical theory and computation.

Reducing Idle Power Consumption in High Performance Systems

Masha Sosonkina, Vaibhav Sundriyal, 2017, 2017 International Conference on Computational Science and Computational Intelligence (CSCI).

Constructing a performance database for large-scale quantum chemistry packages

Masha Sosonkina, Mark S. Gordon, Meng-Shiou Wu, 2008, SpringSim '08.

Accelerating configuration interaction calculations for nuclear structure

Chao Yang, Masha Sosonkina, Esmond G. Ng, 2008, HiPC 2008.

DeapSECURE: Empowering Students for Data- and Compute-Intensive Research in Cybersecurity through Training

Hongyi Wu, Masha Sosonkina, Wirawan Purwanto, 2019, PEARC.

Distributed Schur Complement Techniques for General Sparse Linear Systems

Masha Sosonkina, Yousef Saad, Y. Saad, 1999, SIAM J. Sci. Comput..

Parallel Iterative Methods in Modern Physical Applications

Masha Sosonkina, Yousef Saad, Xing Cai, 2002, International Conference on Computational Science.

Parallel Adaptive GMRES Implementations for Homotopy Methods

Masha Sosonkina, Layne T. Watson, Donald C. S. Allison, 1999, SIAM J. Optim..

Proceedings of the 2008 compFrame/HPC-GECO workshop on Component based high performance

Masha Sosonkina, Christian Pérez, 2008, HiPC 2008.

Adjusting process count on demand for petascale global optimization

Masha Sosonkina, Layne T. Watson, Raphael T. Haftka, 2013, Parallel Comput..

Dynamic Frequency Scaling and Energy Saving in Quantum Chemistry Applications

Fang Liu, Masha Sosonkina, Michael W. Schmidt, 2011, 2011 IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum.

Parallel Solvers for Flexible Approximation Schemes in Multiparticle Simulation

Masha Sosonkina, Igor Tsukerman, M. Sosonkina, 2006, International Conference on Computational Science.

Evaluating effects of application based and automatic energy saving strategies on NWChem

Masha Sosonkina, Vaibhav Sundriyal, Theresa L. Windus, 2017, SpringSim.

Coupling multi-level component interfaces for parallel sparse linear system solvers

Fang Liu, Masha Sosonkina, Dane Coffey, 2009, CBHPC '09.

Energy efficient communications in quantum chemistry applications

Masha Sosonkina, Vaibhav Sundriyal, Alexander Gaenko, 2012, Computer Science - Research and Development.

Component‐based iterative methods for sparse linear systems

Masha Sosonkina, Yousef Saad, J. Jones, 2007, Concurr. Comput. Pract. Exp..

Performance analysis of distributed symmetric sparse matrix vector multiplication algorithm for multi‐core architectures

Masha Sosonkina, James P. Vary, Pieter Maris, 2015, Concurr. Comput. Pract. Exp..

Effcient Shared-array Accesses in Ab Initio Nuclear Structure Calculations on Multicore Architectures

Masha Sosonkina, James P. Vary, Pieter Maris, 2012, ICCS.

Remark on Algorithm 897

Masha Sosonkina, Layne T. Watson, Jian He, 2015 .

Power profiling and evaluating the effect of frequency scaling on NWChem

Masha Sosonkina, Vaibhav Sundriyal, Theresa L. Windus, 2016, SpringSim.

Performance Modeling and Analysis of a Massively Parallel Direct—Part 2

Masha Sosonkina, Layne T. Watson, Jian He, 2009, Int. J. High Perform. Comput. Appl..

Parallel solution of saddle point systems with nested iterative solvers based on the Golub‐Kahan Bidiagonalization pdf

Masha Sosonkina, Mario Arioli, Ulrich Ruede, 2020, Concurr. Comput. Pract. Exp..

Exploring Tuning Strategies for Quantum Chemistry Computations

Zhao Zhang, Masha Sosonkina, Meng-Shiou Wu, 2010, Software Automatic Tuning, From Concepts to State-of-the-Art Results.

Per-call Energy Saving Strategies in All-to-All Communications

Masha Sosonkina, Vaibhav Sundriyal, 2011, EuroMPI.

Maximizing Performance under a Power Constraint on Modern Multicore Systems

Masha Sosonkina, Mark S. Gordon, Vaibhav Sundriyal, 2019 .

Locality Optimization on a NUMA Architecture for Hybrid LU Factorization

Masha Sosonkina, Brigitte Rozoy, Marc Baboulin, 2013, PARCO.

Efficacy of the SU(3) scheme for ab initio large-scale calculations beyond the lightest nuclei

Masha Sosonkina, Ümit V. Çatalyürek, James P. Vary, 2016, Comput. Phys. Commun..

Parallel Performance of an Iterative Solver Based on the Golub-Kahan Bidiagonalization

Ulrich Rüde, Masha Sosonkina, Carola Kruse, 2019, PPAM.

Empirical Mode Decomposition for Modeling of Parallel Applications on Intel Xeon Phi Processors

Yuzhong Shen, Masha Sosonkina, Gary Lawson, 2017, 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID).

Modeling a task-based matrix-matrix multiplication application for resilience decision making

Masha Sosonkina, Erik J. Jensen, M. Sosonkina, 2018, SpringSim.

Runtime Power Limiting of Parallel Applications on Intel Xeon Phi Processors

Yuzhong Shen, Masha Sosonkina, Vaibhav Sundriyal, 2016, 2016 4th International Workshop on Energy Efficient Supercomputing (E2SC).

Hierarchical parallel scheme for global parameter estimation in systems biology

Clifford A. Shaffer, John J. Tyson, Masha Sosonkina, 2004, 18th International Parallel and Distributed Processing Symposium, 2004. Proceedings..

Simulation Framework for Asynchronous Iterative Methods

Masha Sosonkina, Evan Coleman, Erik J. Jensen, 2018 .

Design and implementation of a massively parallel version of DIRECT

Masha Sosonkina, Layne T. Watson, Jian He, 2008, Comput. Optim. Appl..

Applying EMD/HHT analysis to power traces of applications executed on systems with Intel Xeon Phi

Masha Sosonkina, Gary Lawson, Yuzhong Shen, 2020, Int. J. High Perform. Comput. Appl..

VBARMS: A variable block algebraic recursive multilevel solver for sparse linear systems

Masha Sosonkina, Bruno Carpentieri, Jia Liao, 2014, J. Comput. Appl. Math..

Development of high performance scientific components for interoperability of computing packages

Masha Sosonkina, Mark S. Gordon, Theresa L. Windus, 2009, SpringSim '09.

Dynamic Network Information Collectionfor Distributed Scientific Application Adaptation

Masha Sosonkina, Devdatta Kulkarni, 2002, HiPC.

Integration of Ab Initio Nuclear Physics Calculations with Optimization Techniques

Masha Sosonkina, James P. Vary, Anurag Sharda, 2008, ICCS.

Stacking sequence optimization for constant stiffness laminates based on a continuous optimization approach

Masha Sosonkina, Michaël Bruyneel, Stéphane Grihon, 2012 .

Performance Modeling and Analysis of a Massively Parallel Direct—Part 1

Masha Sosonkina, Layne T. Watson, Jian He, 2009, Int. J. High Perform. Comput. Appl..

Parallel solution of the chemical master equation

Masha Sosonkina, Jingwei Zhang, Layne T. Watson, 2009, SpringSim '09.

Performance analysis of parallel algebraic preconditioners for solving the RANS equations using fluctuation splitting schemes

Masha Sosonkina, Aldo Bonfiglioli, Bruno Carpentieri, 2008 .

Note on the end game in homotopy zero curve tracking

Masha Sosonkina, Layne T. Watson, David E. Stewart, 1996, TOMS.

A Multilevel Parallelism Support for Multi-Physics Coupling

Fang Liu, Masha Sosonkina, 2011, ICCS.

EulFS : A Parallel CFD Code for the Simulation of Euler and Navier-Stokes Problems on Unstructured Grids

Masha Sosonkina, Bruno Carpentieri, Aldo Bonfiglioli, 2006, PARA.

Dynamic Adaptations in ab-initio Nuclear Physics Calculations on Multicore Computer Architectures

Masha Sosonkina, James P. Vary, Pieter Maris, 2011, 2011 IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum.

A New Approach: Component-Based Multi-physics Coupling through CCA-LISI

Fang Liu, Masha Sosonkina, Randall Bramley, 2010, ICCSA.

Automatic energy saving schemes for parallel applications

Zhao Zhang, Masha Sosonkina, Vaibhav Sundriyal, 2013 .

Daejeon16 NN Interaction Software

Masha Sosonkina, James P. Vary, Youngman Kim, 2016 .

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

Masha Sosonkina, Layne T. Watson, Joseph Weinbub, 2015, SpringSim.

Convergence and resilience of the fine-grained parallel incomplete LU factorization for non-symmetric problems

Masha Sosonkina, Evan Coleman, M. Sosonkina, 2018, SpringSim.

Design and Implementation of a MassivelyParallel Version of DIRECT

Masha Sosonkina, Layne T. Watson, Jian He, 2006 .

Parallelism in algebraic recursive solvers

Masha Sosonkina, Yousef Saad, Zhongze Li, 2001, PPSC.

Preconditioning strategies for linear systems arising in tire design

Masha Sosonkina, Yousef Saad, Layne T. Watson, 2000, Numer. Linear Algebra Appl..

IMAGE: an approach to building standards-based enterprise grids

Masha Sosonkina, G. Mateescu, M. Sosonkina, 2006, Proceedings 20th IEEE International Parallel & Distributed Processing Symposium.

Enhanced Parallel Multicolor Preconditioning Techniques for Linear Systems

Masha Sosonkina, Yousef Saad, 1999, PPSC.

Asynchronous invocation of adaptations in electronic structure calculations

Masha Sosonkina, Michael W. Schmidt, Sai Kiran Talamudupula, 2011, SpringSim.

Applicability of the Empirical Mode Decomposition for Power Traces of Large-Scale Applications

Yuzhong Shen, Masha Sosonkina, Gary Lawson, 2017, PPAM.

Scalability of Adaptive GMRES Algorithm

Masha Sosonkina, Layne T. Watson, Donald C. S. Allison, 1997, PPSC.

Performance and Energy Evaluation of CoMD on Intel Xeon Phi Co-processors

Yuzhong Shen, Masha Sosonkina, Gary Lawson, 2014, 2014 Hardware-Software Co-Design for High Performance Computing.

Joint frequency scaling of processor and DRAM

Masha Sosonkina, Vaibhav Sundriyal, M. Sosonkina, 2016, The Journal of Supercomputing.

Predictive modeling of the performance of asynchronous iterative methods

Masha Sosonkina, Evan Coleman, Erik J. Jensen, 2019, The Journal of Supercomputing.

Leveraging GPUs in Ab Initio Nuclear Physics Calculations

Masha Sosonkina, Robert Roth, James P. Vary, 2013, IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum.

Experimentation Procedure for Offloaded Mini-Apps Executed on Cluster Architectures with Xeon Phi Accelerators pdf

Yuzhong Shen, Masha Sosonkina, Vaibhav Sundriyal, 2015, ArXiv.

A Hybrid CPU/GPU Approach for the Parallel Algebraic Recursive Multilevel Solver pARMS

Masha Sosonkina, Marc Baboulin, Aygul Jamal, 2016, 2016 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC).

Runtime Power Limiting in GAMESS on Dual-Socket Nodes

Masha Sosonkina, Vaibhav Sundriyal, Mark Gordon, 2017, 2017 International Conference on Computational Science and Computational Intelligence (CSCI).

Self-stabilizing fine-grained parallel incomplete LU factorization

Masha Sosonkina, Evan Coleman, 2018, Sustain. Comput. Informatics Syst..

Component-based iterative methods for sparse linear systems: Research Articles

Masha Sosonkina, Yousef Saad, J. Jones, 2007 .

Runtime power-aware energy-saving scheme for parallel applications

Masha Sosonkina, Vaibhav Sundriyal, M. Sosonkina, 2017, Int. J. High Perform. Syst. Archit..

Communication with spawned processes

Masha Sosonkina, Layne T. Watson, Nicholas R. Radcliffe, 2011, SpringSim.

Variable Block Multilevel Iterative Solution of General Sparse Linear Systems

Masha Sosonkina, Bruno Carpentieri, Jia Liao, 2013, PPAM.

Algorithm 857: POLSYS_GLP—a parallel general linear product homotopy code for solving polynomial systems of equations

Masha Sosonkina, Layne T. Watson, Hai-Jun Su, 2006, TOMS.

Impacts of Three Soft-Fault Models on Hybrid Parallel Asynchronous Iterative Methods

Masha Sosonkina, Evan Coleman, Erik J. Jensen, 2018, 2018 30th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD).

Scaling of ab-initio nuclear physics calculations on multicore computer architectures

Masha Sosonkina, Chao Yang, Esmond G. Ng, 2010, ICCS.

A HPC sparse solver interface for scalable multilevel methods

Fang Liu, Masha Sosonkina, Randall Bramley, 2009, SpringSim '09.

Parallel programming models applicable to cluster computing and beyond

Masha Sosonkina, Thomas Sterling, Robert W. Numrich, 2006 .

Strategies to hide communication for a classical molecular dynamics proxy application

Masha Sosonkina, Issakar Ngatang, 2015, SpringSim.

pARMS: a parallel version of the algebraic recursive multilevel solver

Masha Sosonkina, Yousef Saad, Zhongze Li, 2003, Numer. Linear Algebra Appl..

A partitioning algorithm for block-diagonal matrices with overlap

Laura Grigori, Masha Sosonkina, Guy Antoine Atenekeng Kahou, 2008, Parallel Comput..

Enhancing adaptive middleware for quantum chemistry applications with a database framework

Zhao Zhang, Masha Sosonkina, Mark S. Gordon, 2010, 2010 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW).

Improving efficiency of semi‐direct møller–plesset second‐order perturbation methods through oversubscription on multiple nodes

Masha Sosonkina, Vaibhav Sundriyal, Theresa L Windus, 2019, J. Comput. Chem..

Scalable parallel implementations of the GMRES algorithm via Householder reflections

Masha Sosonkina, Layne T. Watson, Donald C. S. Allison, 1998, Proceedings. 1998 International Conference on Parallel Processing (Cat. No.98EX205).

A numerical study of some parallel algebraic preconditioners

Masha Sosonkina, Xing Cai, 2003, Proceedings International Parallel and Distributed Processing Symposium.

Analysis of Goldbeter-Koshland Switch Using the Chemical Master Equation

Masha Sosonkina, Jingwei Zhang, Layne T. Watson, 2008, BIOCOMP.

Computational nuclear quantum many-body problem: The UNEDF project

Masha Sosonkina, Joseph A. Carlson, Ewing L. Lusk, 2013, Comput. Phys. Commun..

Co-Scheduling Parallel Electronic Structure Calculations in SMP Cluster Environments

Nurzhan Ustemirov, Masha Sosonkina, M. Sosonkina, 2005, 2005 IEEE International Conference on Cluster Computing.