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2020 – today
- 2024
[j58]Hans De Sterck
, Yunhui He, Oliver A. Krzysik:
Anderson Acceleration as a Krylov Method with Application to Convergence Analysis. J. Sci. Comput. 99(1): 12 (2024)- [j57]Tiangang Cui, Hans De Sterck, Alexander D. Gilbert, Stanislav Polishchuk, Robert Scheichl:
Multilevel Monte Carlo Methods for Stochastic Convection-Diffusion Eigenvalue Problems. J. Sci. Comput. 99(3): 77 (2024) - [j56]Andersen Ang, Hans De Sterck, Stephen Vavasis:
MGProx: A Nonsmooth Multigrid Proximal Gradient Method with Adaptive Restriction for Strongly Convex Optimization. SIAM J. Optim. 34(3): 2788-2820 (2024) - [j55]Hans De Sterck:
New SISC Section on Scientific Machine Learning. SIAM J. Sci. Comput. 46(1): vii-viii (2024) - [i34]Hans De Sterck, Robert D. Falgout, Oliver A. Krzysik, Jacob B. Schroder:
Parallel-in-time solution of scalar nonlinear conservation laws. CoRR abs/2401.04936 (2024) - [i33]Yifan Qu, Oliver A. Krzysik, Hans De Sterck, Omer Ege Kara:
First-order PDES for Graph Neural Networks: Advection And Burgers Equation Models. CoRR abs/2404.03081 (2024) - [i32]Andersen Ang, Waqas Bin Hamed, Hans De Sterck:
Sum-of-norms regularized Nonnegative Matrix Factorization. CoRR abs/2407.00706 (2024) - [i31]Hans De Sterck, Robert D. Falgout, Oliver A. Krzysik, Jacob B. Schroder:
Parallel-in-time solution of hyperbolic PDE systems via characteristic-variable block preconditioning. CoRR abs/2407.03873 (2024) - [i30]Thanin Quartz, Ruikun Zhou, Hans De Sterck, Jun Liu:
Stochastic Reinforcement Learning with Stability Guarantees for Control of Unknown Nonlinear Systems. CoRR abs/2409.08382 (2024) - 2023
- [j54]Hans De Sterck, Chi-Wang Shu, Rémi Abgrall:
Enhancing reproducibility of research papers in SISC, JSC and JCP. J. Comput. Phys. 484: 112088 (2023) - [j53]Lucie Freret, C. N. Ngigi, T. B. Nguyen, Hans De Sterck, Clinton P. T. Groth:
High-Order CENO Finite-Volume Scheme with Anisotropic Adaptive Mesh Refinement: Efficient Inexact Newton Method for Steady Three-Dimensional Flows. J. Sci. Comput. 94(3): 48 (2023) - [j52]Hans De Sterck, Chi-Wang Shu, Rémi Abgrall:
Enhancing Reproducibility of Research Papers in SISC, JSC and JCP. J. Sci. Comput. 95(3): 77 (2023) - [j51]Hans De Sterck, Chi-Wang Shu, Rémi Abgrall:
Correction to: Enhancing Reproducibility of Research Papers in SISC, JSC and JCP. J. Sci. Comput. 95(3): 86 (2023) - [j50]Hans De Sterck, Robert D. Falgout, Oliver A. Krzysik, Jacob B. Schroder:
Efficient Multigrid Reduction-in-Time for Method-of-Lines Discretizations of Linear Advection. J. Sci. Comput. 96(1): 1 (2023) - [j49]Matthias Bolten, Hans De Sterck:
Special Section: 2021 Copper Mountain Conference. SIAM J. Sci. Comput. 45(3) (2023) - [j48]Hans De Sterck, Robert D. Falgout, Oliver A. Krzysik:
Fast Multigrid Reduction-in-Time for Advection via Modified Semi-Lagrangian Coarse-Grid Operators. SIAM J. Sci. Comput. 45(4): 1890- (2023) - [j47]Hans De Sterck, Chi-Wang Shu, Rémi Abgrall:
Enhancing Reproducibility of Research Papers in SISC, JSC, and JCP. SIAM J. Sci. Comput. 45(4): vii (2023) - [i29]Tiangang Cui, Hans De Sterck, Alexander D. Gilbert, Stanislav Polishchuk, Robert Scheichl:
Multilevel Monte Carlo methods for stochastic convection-diffusion eigenvalue problems. CoRR abs/2303.03673 (2023) - [i28]Yanming Kang, Giang Tran, Hans De Sterck:
Fast Multipole Attention: A Divide-and-Conquer Attention Mechanism for Long Sequences. CoRR abs/2310.11960 (2023) - [i27]Hans De Sterck, Oliver A. Krzysik, Adam Smith:
On the convergence of restarted Anderson acceleration for symmetric linear systems. CoRR abs/2312.04776 (2023) - 2022
- [j46]Haifeng Xu, Rasha F. Kashef, Hans De Sterck, Geoffrey Sanders:
Efficient Algebraic Multigrid Methods for Multilevel Overlapping Coclustering of User-Item Relationships. INFORMS J. Comput. 34(3): 1587-1605 (2022) - [j45]Hans De Sterck, Yunhui He:
Linear Asymptotic Convergence of Anderson Acceleration: Fixed-Point Analysis. SIAM J. Matrix Anal. Appl. 43(4): 1755-1783 (2022) - [j44]Ben S. Southworth, Oliver A. Krzysik, Will Pazner, Hans De Sterck:
Fast Solution of Fully Implicit Runge-Kutta and Discontinuous Galerkin in Time for Numerical PDEs, Part I: the Linear Setting. SIAM J. Sci. Comput. 44(1): 416- (2022) - [c12]Ruikun Zhou, Thanin Quartz, Hans De Sterck, Jun Liu:
Neural Lyapunov Control of Unknown Nonlinear Systems with Stability Guarantees. NeurIPS 2022 - [i26]Hans De Sterck, Robert D. Falgout, Oliver A. Krzysik:
Fast multigrid reduction-in-time for advection via modified semi-Lagrangian coarse-grid operators. CoRR abs/2203.13382 (2022) - [i25]Ruikun Zhou, Thanin Quartz, Hans De Sterck, Jun Liu:
Neural Lyapunov Control of Unknown Nonlinear Systems with Stability Guarantees. CoRR abs/2206.01913 (2022) - [i24]Hans De Sterck, Stephanie Friedhoff, Oliver A. Krzysik, Scott P. MacLachlan:
Multigrid reduction-in-time convergence for advection problems: A Fourier analysis perspective. CoRR abs/2208.01526 (2022) - [i23]Hans De Sterck, Robert D. Falgout, Oliver A. Krzysik, Jacob B. Schroder:
Efficient multigrid reduction-in-time for method-of-lines discretizations of linear advection. CoRR abs/2209.06916 (2022) - [i22]William Zou, Hans De Sterck, Jun Liu:
Downlink Compression Improves TopK Sparsification. CoRR abs/2209.15203 (2022) - 2021
- [j43]Dawei Wang, Yunhui He, Hans De Sterck:
On the Asymptotic Linear Convergence Speed of Anderson Acceleration Applied to ADMM. J. Sci. Comput. 88(2): 38 (2021) - [j42]Hans De Sterck, Robert D. Falgout, Stephanie Friedhoff, Oliver A. Krzysik, Scott P. MacLachlan:
Optimizing multigrid reduction-in-time and Parareal coarse-grid operators for linear advection. Numer. Linear Algebra Appl. 28(4) (2021) - [j41]Hans De Sterck, Yunhui He:
On the Asymptotic Linear Convergence Speed of Anderson Acceleration, Nesterov Acceleration, and Nonlinear GMRES. SIAM J. Sci. Comput. 43(5): S21-S46 (2021) - [j40]Yunhui He, Sander Rhebergen, Hans De Sterck:
Local Fourier Analysis of Multigrid for Hybridized and Embedded Discontinuous Galerkin Methods. SIAM J. Sci. Comput. 43(5): S612-S636 (2021) - [c11]Andersen Man Shun Ang, Nicolas Gillis, Arnaud Vandaele, Hans De Sterck:
Nonnegative Unimodal Matrix Factorization. ICASSP 2021: 3270-3274 - [i21]Ben S. Southworth, Oliver A. Krzysik, Will Pazner, Hans De Sterck:
Fast parallel solution of fully implicit Runge-Kutta and discontinuous Galerkin in time for numerical PDEs, Part I: the linear setting. CoRR abs/2101.00512 (2021) - [i20]Hans De Sterck, Yunhui He:
Linear Asymptotic Convergence of Anderson Acceleration: Fixed-Point Analysis. CoRR abs/2109.14176 (2021) - [i19]Hans De Sterck, Yunhui He:
Anderson Acceleration as a Krylov Method with Application to Asymptotic Convergence Analysis. CoRR abs/2109.14181 (2021) - 2020
- [j39]Hans De Sterck, Stephanie Friedhoff, Alexander J. M. Howse, Scott P. MacLachlan:
Convergence analysis for parallel-in-time solution of hyperbolic systems. Numer. Linear Algebra Appl. 27(1) (2020) - [j38]Drew Mitchell, Nan Ye, Hans De Sterck:
Nesterov acceleration of alternating least squares for canonical tensor decomposition: Momentum step size selection and restart mechanisms. Numer. Linear Algebra Appl. 27(4) (2020) - [i18]Yunhui He, Sander Rhebergen, Hans De Sterck:
Local Fourier analysis of multigrid for hybridized and embedded discontinuous Galerkin methods. CoRR abs/2006.11433 (2020) - [i17]Hans De Sterck, Yunhui He:
On the Asymptotic Linear Convergence Speed of Anderson Acceleration, Nesterov Acceleration, and Nonlinear GMRES. CoRR abs/2007.01996 (2020) - [i16]Dawei Wang, Yunhui He, Hans De Sterck:
Quantifying the asymptotic linear convergence speed of Anderson Acceleration applied to ADMM. CoRR abs/2007.02916 (2020) - [i15]Aaron Baier-Reinio, Hans De Sterck:
N-ODE Transformer: A Depth-Adaptive Variant of the Transformer Using Neural Ordinary Differential Equations. CoRR abs/2010.11358 (2020)
2010 – 2019
- 2019
- [j37]Lucie Freret, Lucian Ivan, Hans De Sterck, Clinton P. T. Groth:
High-Order Finite-Volume Method with Block-Based AMR for Magnetohydrodynamics Flows. J. Sci. Comput. 79(1): 176-208 (2019) - [j36]Alexander J. M. Howse, Hans De Sterck, Robert D. Falgout, Scott P. MacLachlan, Jacob B. Schroder:
Parallel-In-Time Multigrid with Adaptive Spatial Coarsening for The Linear Advection and Inviscid Burgers Equations. SIAM J. Sci. Comput. 41(1): A538-A565 (2019) - [i14]Hans De Sterck, Robert D. Falgout, Stephanie Friedhoff, Oliver A. Krzysik, Scott P. MacLachlan:
Optimizing MGRIT and Parareal coarse-grid operators for linear advection. CoRR abs/1910.03726 (2019) - 2018
- [j35]John C. Lang, Hans De Sterck, Jamieson L. Kaiser, Joel C. Miller:
Analytic models for SIR disease spread on random spatial networks. J. Complex Networks 6(6): 948-970 (2018) - [j34]Hans De Sterck, Alexander J. M. Howse:
Nonlinearly preconditioned L-BFGS as an acceleration mechanism for alternating least squares with application to tensor decomposition. Numer. Linear Algebra Appl. 25(6) (2018) - [j33]Ulrich Rüde, Karen Willcox, Lois Curfman McInnes, Hans De Sterck:
Research and Education in Computational Science and Engineering. SIAM Rev. 60(3): 707-754 (2018) - [i13]Drew Mitchell, Nan Ye, Hans De Sterck:
Nesterov Acceleration of Alternating Least Squares for Canonical Tensor Decomposition: Momentum Step Size Selection and Restart Mechanisms. CoRR abs/1810.05846 (2018) - 2017
- [j32]Nayyar Abbas Zaidi, Geoffrey I. Webb, Mark James Carman, François Petitjean, Wray L. Buntine, Mike Hynes, Hans De Sterck:
Efficient parameter learning of Bayesian network classifiers. Mach. Learn. 106(9-10): 1289-1329 (2017) - 2016
- [j31]John C. Lang, Hans De Sterck:
A hierarchy of linear threshold models for the spread of political revolutions on social networks. J. Complex Networks 4(3): 426-456 (2016) - [j30]Hans De Sterck, Alexander J. M. Howse:
Nonlinearly Preconditioned Optimization on Grassmann Manifolds for Computing Approximate Tucker Tensor Decompositions. SIAM J. Sci. Comput. 38(2) (2016) - [j29]Hans De Sterck, Chris Johnson, Lois Curfman McInnes:
Special Section on Two Themes: CSE Software and Big Data in CSE. SIAM J. Sci. Comput. 38(5) (2016) - [c10]Michael B. Hynes, Hans De Sterck:
A polynomial expansion line search for large-scale unconstrained minimization of smooth L2-regularized loss functions, with implementation in Apache Spark. SDM 2016: 603-611 - [i12]Shawn Brunsting, Hans De Sterck, Remco Dolman, Teun van Sprundel:
GeoTextTagger: High-Precision Location Tagging of Textual Documents using a Natural Language Processing Approach. CoRR abs/1601.05893 (2016) - [i11]John C. Lang, Hans De Sterck, Daniel M. Abrams:
The Statistical Mechanics of Human Weight Change. CoRR abs/1610.00656 (2016) - [i10]Ulrich Rüde, Karen Willcox, Lois Curfman McInnes, Hans De Sterck, George Biros, Hans-Joachim Bungartz, James Corones, Evin Cramer, James Crowley, Omar Ghattas, Max D. Gunzburger, Michael Hanke, Robert J. Harrison, Michael A. Heroux, Jan S. Hesthaven, Peter K. Jimack, Chris Johnson, Kirk E. Jordan, David E. Keyes, Rolf H. Krause, Vipin Kumar, Stefan Mayer, Juan Meza, Knut Martin Mørken, J. Tinsley Oden, Linda R. Petzold, Padma Raghavan, Suzanne M. Shontz, Anne E. Trefethen, Peter R. Turner, Vladimir V. Voevodin, Barbara I. Wohlmuth, Carol S. Woodward:
Research and Education in Computational Science and Engineering. CoRR abs/1610.02608 (2016) - 2015
- [j28]Lucian Ivan, Hans De Sterck, Andree Susanto, Clinton P. T. Groth:
High-order central ENO finite-volume scheme for hyperbolic conservation laws on three-dimensional cubed-sphere grids. J. Comput. Phys. 282: 157-182 (2015) - [j27]Hans De Sterck, Manda Winlaw:
A nonlinearly preconditioned conjugate gradient algorithm for rank-R canonical tensor approximation. Numer. Linear Algebra Appl. 22(3): 410-432 (2015) - [c9]Manda Winlaw, Michael B. Hynes, Anthony L. Caterini, Hans De Sterck:
Algorithmic Acceleration of Parallel ALS for Collaborative Filtering: Speeding up Distributed Big Data Recommendation in Spark. ICPADS 2015: 682-691 - [i9]John C. Lang, Hans De Sterck:
A Hierarchy of Linear Threshold Models for the Spread of Political Revolutions on Social Networks. CoRR abs/1501.04091 (2015) - [i8]Manda Winlaw, Michael B. Hynes, Anthony L. Caterini, Hans De Sterck:
Algorithmic Acceleration of Parallel ALS for Collaborative Filtering: Speeding up Distributed Big Data Recommendation in Spark. CoRR abs/1508.03110 (2015) - [i7]Michael B. Hynes, Hans De Sterck:
A polynomial expansion line search for large-scale unconstrained minimization of smooth L2-regularized loss functions, with implementation in Apache Spark. CoRR abs/1510.08345 (2015) - 2014
- [j26]John C. Lang, Hans De Sterck:
The Arab Spring: A simple compartmental model for the dynamics of a revolution. Math. Soc. Sci. 69: 12-21 (2014) - [j25]Yasunori Aoki, Ken Hayami, Hans De Sterck, Akihiko Konagaya:
Cluster Newton Method for Sampling Multiple Solutions of Underdetermined Inverse Problems: Application to a Parameter Identification Problem in Pharmacokinetics. SIAM J. Sci. Comput. 36(1) (2014) - [i6]John C. Lang, Daniel M. Abrams, Hans De Sterck:
The influence of societal individualism on a century of tobacco use: modelling the prevalence of smoking. CoRR abs/1407.2188 (2014) - [i5]Hans De Sterck, Manda Winlaw:
A Nonlinearly Preconditioned Conjugate Gradient Algorithm for Rank-R Canonical Tensor Approximation. CoRR abs/1407.5183 (2014) - 2013
- [j24]Andree Susanto, Lucian Ivan, Hans De Sterck, Clinton P. T. Groth:
High-order central ENO finite-volume scheme for ideal MHD. J. Comput. Phys. 250: 141-164 (2013) - [j23]Lucian Ivan, Hans De Sterck, Scott A. Northrup, Clinton P. T. Groth:
Multi-dimensional finite-volume scheme for hyperbolic conservation laws on three-dimensional solution-adaptive cubed-sphere grids. J. Comput. Phys. 255: 205-227 (2013) - [j22]Hans De Sterck:
Steepest descent preconditioning for nonlinear GMRES optimization. Numer. Linear Algebra Appl. 20(3): 453-471 (2013) - [j21]Hans De Sterck, Killian Miller:
An Adaptive Algebraic Multigrid Algorithm for Low-Rank Canonical Tensor Decomposition. SIAM J. Sci. Comput. 35(1) (2013) - 2012
- [j20]Hans De Sterck:
A Nonlinear GMRES Optimization Algorithm for Canonical Tensor Decomposition. SIAM J. Sci. Comput. 34(3) (2012) - [j19]Hans De Sterck:
A Self-Learning Algebraic Multigrid Method for Extremal Singular Triplets and Eigenpairs. SIAM J. Sci. Comput. 34(4) (2012) - [i4]John C. Lang, Hans De Sterck:
The Arab Spring: A Simple Compartmental Model for the Dynamics of a Revolution. CoRR abs/1210.1841 (2012) - 2011
- [j18]Hans De Sterck, Killian Miller, Thomas A. Manteuffel, Geoffrey Sanders:
Top-level acceleration of adaptive algebraic multilevel methods for steady-state solution to Markov chains. Adv. Comput. Math. 35(2-4): 375-403 (2011) - [j17]Hans De Sterck, Van Emden Henson, Geoffrey Sanders:
Multilevel Aggregation Methods for Small-World Graphs with Application to Random-Walk Ranking. Comput. Informatics 30(2): 225-246 (2011) - [j16]Hans De Sterck, Killian Miller, Geoffrey Sanders:
Iterant recombination with one-norm minimization for multilevel Markov chain algorithms via the ellipsoid method. Comput. Vis. Sci. 14(2): 51-65 (2011) - [j15]Yasunori Aoki, Hans De Sterck:
Augmented high order finite volume element method for elliptic PDEs in non-smooth domains: Convergence study. J. Comput. Appl. Math. 235(17): 5177-5187 (2011) - [j14]Hans De Sterck, Killian Miller, Eran Treister, Irad Yavneh:
Fast multilevel methods for Markov chains. Numer. Linear Algebra Appl. 18(6): 961-980 (2011) - [j13]Chen Zhang, Hans De Sterck:
HBaseSI: Multi-row Distributed Transactions with Global Strong Snapshot Isolation on Clouds. Scalable Comput. Pract. Exp. 12(2) (2011) - [i3]Hans De Sterck:
A Self-learning Algebraic Multigrid Method for Extremal Singular Triplets and Eigenpairs. CoRR abs/1102.0919 (2011) - [i2]Hans De Sterck:
A Nonlinear GMRES Optimization Algorithm for Canonical Tensor Decomposition. CoRR abs/1105.5331 (2011) - [i1]Hans De Sterck:
Steepest Descent Preconditioning for Nonlinear GMRES Optimization. CoRR abs/1106.4426 (2011) - 2010
- [j12]Scott Rostrup, Hans De Sterck:
Parallel hyperbolic PDE simulation on clusters: Cell versus GPU. Comput. Phys. Commun. 181(12): 2164-2179 (2010) - [j11]Tiffany Inglis, Hans De Sterck, Geoffrey Sanders, Haig Djambazian, Robert Sladek, Saravanan Sundararajan, Thomas J. Hudson:
Multilevel Space-Time Aggregation for Bright Field Cell Microscopy Segmentation and Tracking. Int. J. Biomed. Imaging 2010: 582760:1-582760:21 (2010) - [j10]Hans De Sterck, Thomas A. Manteuffel, Stephen F. McCormick, Killian Miller, J. Pearson, John W. Ruge, Geoffrey Sanders:
Smoothed Aggregation Multigrid for Markov Chains. SIAM J. Sci. Comput. 32(1): 40-61 (2010) - [j9]Hans De Sterck, Thomas A. Manteuffel, Stephen F. McCormick, Killian Miller, John W. Ruge, Geoffrey Sanders:
Algebraic Multigrid for Markov Chains. SIAM J. Sci. Comput. 32(2): 544-562 (2010) - [j8]Hans De Sterck, Killian Miller, Geoffrey Sanders, Manda Winlaw:
Recursively Accelerated Multilevel Aggregation for Markov Chains. SIAM J. Sci. Comput. 32(3): 1652-1671 (2010) - [c8]Chen Zhang, Hans De Sterck:
CloudBATCH: A Batch Job Queuing System on Clouds with Hadoop and HBase. CloudCom 2010: 368-375 - [c7]Chen Zhang, Hans De Sterck:
Supporting multi-row distributed transactions with global snapshot isolation using bare-bones HBase. GRID 2010: 177-184
2000 – 2009
- 2009
- [c6]Chen Zhang, Hans De Sterck:
CloudWF: A Computational Workflow System for Clouds Based on Hadoop. CloudCom 2009: 393-404 - [c5]Scott Rostrup, Hans De Sterck:
Hybrid MPI-Cell Parallelism for Hyperbolic PDE Simulation on a Cell Processor Cluster. HPCS 2009: 337-348 - [c4]Chen Zhang, Hans De Sterck, Ashraf Aboulnaga, Haig Djambazian, Robert Sladek:
Case Study of Scientific Data Processing on a Cloud Using Hadoop. HPCS 2009: 400-415 - 2008
- [j7]Hans De Sterck, Thomas A. Manteuffel, Stephen F. McCormick, Joshua Nolting, John W. Ruge, Lei Tang:
Efficiency-based h- and hp-refinement strategies for finite element methods. Numer. Linear Algebra Appl. 15(2-3): 89-114 (2008) - [j6]Hans De Sterck, Robert D. Falgout, Joshua Nolting, Ulrike Meier Yang:
Distance-two interpolation for parallel algebraic multigrid. Numer. Linear Algebra Appl. 15(2-3): 115-139 (2008) - [j5]Hans De Sterck, Thomas A. Manteuffel, Stephen F. McCormick, Quoc Nguyen, John W. Ruge:
Multilevel Adaptive Aggregation for Markov Chains, with Application to Web Ranking. SIAM J. Sci. Comput. 30(5): 2235-2262 (2008) - 2007
- [j4]Hans De Sterck:
Critical Point Analysis of Transonic Flow Profiles with Heat Conduction. SIAM J. Appl. Dyn. Syst. 6(3): 645-662 (2007) - [c3]Hans De Sterck, Chen Zhang, Aleks Papo:
Database-Driven Grid Computing with GridBASE. AINA Workshops (1) 2007: 696-701 - [p1]Hans De Sterck, Aleks Papo, Chen Zhang, Micah Hamady, Rob Knight:
Database-Driven Grid Computing and Distributed Web Applications: A Comparison. Grid Computing for Bioinformatics and Computational Biology 2007: 247-266 - 2006
- [j3]Hans De Sterck, Ulrike Meier Yang, Jeffrey J. Heys:
Reducing Complexity in Parallel Algebraic Multigrid Preconditioners. SIAM J. Matrix Anal. Appl. 27(4): 1019-1039 (2006) - 2005
- [j2]Hans De Sterck, Thomas A. Manteuffel, Stephen F. McCormick, Luke N. Olson:
Numerical Conservation Properties of H(div)-Conforming Least-Squares Finite Element Methods for the Burgers Equation. SIAM J. Sci. Comput. 26(5): 1573-1597 (2005) - [c2]Hans De Sterck, Rob S. Markel, Rob Knight:
A Lightweight, Scalable Grid Computing Framework for Parallel Bioinformatics Applications. HPCS 2005: 251-257 - 2004
- [j1]Hans De Sterck, Thomas A. Manteuffel, Stephen F. McCormick, Luke N. Olson:
Least-Squares Finite Element Methods and Algebraic Multigrid Solvers for Linear Hyperbolic PDEs. SIAM J. Sci. Comput. 26(1): 31-54 (2004) - 2003
- [c1]Hans De Sterck, Rob S. Markel, Thomas Pohl, Ulrich Rüde:
A Lightweight Java Taskspaces Framework for Scientific Computing on Computational Grids. SAC 2003: 1024-1030
Coauthor Index
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