Hartwig Anzt

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 98

Top Venues

CoRR

Int. J. High Perform. Comput. Appl.

Concurr. Comput. Pract. Exp.

IPDPS Workshops

Publications

Pratik Nayak, Hartwig Anzt
A Probabilistic Model for Asynchronous Iterative Methods. IPDPS (Workshops) (2024)
Piotr Luszczek, Ahmad Abdelfattah, Hartwig Anzt, Atsushi Suzuki, Stanimire Tomov
Batched sparse and mixed-precision linear algebra interface for efficient use of GPU hardware accelerators in scientific applications. Future Gener. Comput. Syst. 160 (2024)
Andrés E. Tomás, Enrique S. Quintana-Ortí, Hartwig Anzt
Fast Truncated SVD of Sparse and Dense Matrices on Graphics Processors. CoRR (2024)
Hartwig Anzt, Axel Huebl, Xiaoye S. Li
Then and Now: Improving Software Portability, Productivity, and 100× Performance. Comput. Sci. Eng. 26 (1) (2024)
Vasileios Georgiou, Christos Boutsikas, Petros Drineas, Hartwig Anzt
A Mixed Precision Randomized Preconditioner for the LSQR Solver on GPUs. ISC (2023)
Torsten Hoefler, Bjorn Stevens, Andreas F. Prein, Johanna Baehr, Thomas C. Schulthess, Thomas F. Stocker, John A. Taylor, Daniel Klocke, Pekka Manninen, Piers M. Forster, Tobias Kölling, Nicolas Gruber, Hartwig Anzt, Claudia Frauen, Florian Ziemen, Milan Klöwer, Karthik Kashinath, Christoph M. Schär, Oliver Fuhrer, Bryan N. Lawrence
Earth Virtualization Engines: A Technical Perspective. Comput. Sci. Eng. 25 (3) (2023)
Tobias Ribizel, Hartwig Anzt
Parallel Symbolic Cholesky Factorization. SC Workshops (2023)
Ahmad Abdelfattah, Stanimire Tomov, Piotr Luszczek, Hartwig Anzt, Jack J. Dongarra
GPU-based LU Factorization and Solve on Batches of Matrices with Band Structure. SC Workshops (2023)
Aditya Kashi, Pratik Nayak, Dhruva Kulkarni, Aaron Scheinberg, Paul Lin, Hartwig Anzt
Integrating batched sparse iterative solvers for the collision operator in fusion plasma simulations on GPUs. J. Parallel Distributed Comput. 178 (2023)
Phuong Nguyen, Pratik Nayak, Hartwig Anzt
Porting Batched Iterative Solvers onto Intel GPUs with SYCL. SC Workshops (2023)
José Ignacio Aliaga, Hartwig Anzt, Enrique S. Quintana-Ortí, Andrés E. Tomás
Sparse matrix-vector and matrix-multivector products for the truncated SVD on graphics processors. Concurr. Comput. Pract. Exp. 35 (28) (2023)
Phuong Nguyen, Pratik Nayak, Hartwig Anzt
Porting Batched Iterative Solvers onto Intel GPUs with SYCL. CoRR (2023)
Andrés E. Tomás, Enrique S. Quintana-Ortí, Hartwig Anzt
Fast truncated SVD of sparse and dense matrices on graphics processors. Int. J. High Perform. Comput. Appl. 37 (3-4) (2023)
Kasia Swirydowicz, Nicholson Koukpaizan, Tobias Ribizel, Fritz Göbel, Shrirang Abhyankar, Hartwig Anzt, Slaven Peles
GPU-Resident Sparse Direct Linear Solvers for Alternating Current Optimal Power Flow Analysis. CoRR (2023)
Dalal Sukkari, Mark Gates, Mohammed A. Al Farhan, Hartwig Anzt, Jack J. Dongarra
Task-Based Polar Decomposition Using SLATE on Massively Parallel Systems with Hardware Accelerators. SC Workshops (2023)
José Ignacio Aliaga, Hartwig Anzt, Thomas Grützmacher, Enrique S. Quintana-Ortí, Andrés E. Tomás
Compressed basis GMRES on high-performance graphics processing units. Int. J. High Perform. Comput. Appl. 37 (2) (2023)
Torsten Hoefler, Bjorn Stevens, Andreas F. Prein, Johanna Baehr, Thomas C. Schulthess, Thomas F. Stocker, John A. Taylor, Daniel Klocke, Pekka Manninen, Piers M. Forster, Tobias Kölling, Nicolas Gruber, Hartwig Anzt, Claudia Frauen, Florian Ziemen, Milan Klöwer, Karthik Kashinath, Christoph M. Schär, Oliver Fuhrer, Bryan N. Lawrence
Earth Virtualization Engines - A Technical Perspective. CoRR (2023)
Yu-Hsiang Tsai, Terry Cojean, Hartwig Anzt
Providing performance portable numerics for Intel GPUs. Concurr. Comput. Pract. Exp. 35 (20) (2023)
Fritz Göbel, Terry Cojean, Hartwig Anzt
BDDC Preconditioning on GPUs for Cardiac Simulations. Euro-Par Workshops (2023)
Wissam M. Sid-Lakhdar, Sébastien Cayrols, Daniel Bielich, Ahmad Abdelfattah, Piotr Luszczek, Mark Gates, Stanimire Tomov, Hans Johansen, David B. Williams-Young, Timothy A. Davis, Jack J. Dongarra, Hartwig Anzt
PAQR: Pivoting Avoiding QR factorization. IPDPS (2023)
Pratik Nayak, Hartwig Anzt
Utilizing batched solver ideas for efficient solution of non-batched linear systems. IPDPS Workshops (2023)
Yu-Hsiang Mike Tsai, Natalie Beams, Hartwig Anzt
Three-precision algebraic multigrid on GPUs. Future Gener. Comput. Syst. 149 (2023)
Thomas Grützmacher, Hartwig Anzt, Enrique S. Quintana-Ortí
Using Ginkgo's memory accessor for improving the accuracy of memory-bound low precision BLAS. Softw. Pract. Exp. 53 (1) (2023)
Isha Aggarwal, Pratik Nayak, Aditya Kashi, Hartwig Anzt
Preconditioners for Batched Iterative Linear Solvers on GPUs. SMC (2022)
Apan Qasem, Hartwig Anzt, Eduard Ayguadé, Katharine Cahill, Ramon Canal, Jany Chan, Eric Fosler-Lussier, Fritz Göbel, Arpan Jain, Marcel Koch, Mateusz Kuzak, Josep Llosa, Raghu Machiraju, Xavier Martorell, Pratik Nayak, Shameema Oottikkal, Marcin Ostasz, Dhabaleswar K. Panda, Dirk Pleiter, Rajiv Ramnath, Maria-Ribera Sancho, Alessio Sclocco, Aamir Shafi, Hanno Spreeuw, Hari Subramoni, Karen Tomko
Lightning Talks of EduHPC 2022. EduHPC@SC (2022)
José Ignacio Aliaga, Hartwig Anzt, Thomas Grützmacher, Enrique S. Quintana-Ortí, Andrés E. Tomás
Compression and load balancing for efficient sparse matrix-vector product on multicore processors and graphics processing units. Concurr. Comput. Pract. Exp. 34 (14) (2022)
Aditya Kashi, Pratik Nayak, Dhruva Kulkarni, Aaron Scheinberg, Paul Lin, Hartwig Anzt
Batched sparse iterative solvers on GPU for the collision operator for fusion plasma simulations. IPDPS (2022)
Yu-Hsiang Mike Tsai, Pratik Nayak, Edmond Chow, Hartwig Anzt
Implementing Asynchronous Jacobi Iteration on GPUs. ScalAH@SC (2022)
Terry Cojean, Yu-Hsiang Mike Tsai, Hartwig Anzt
Ginkgo - A math library designed for platform portability. Parallel Comput. 111 (2022)
Yannick Funk, Markus Götz, Hartwig Anzt
Prediction of Optimal Solvers for Sparse Linear Systems Using Deep Learning. PPSC (2022)
Hartwig Anzt, Terry Cojean, Goran Flegar, Fritz Göbel, Thomas Grützmacher, Pratik Nayak, Tobias Ribizel, Yuhsiang Mike Tsai, Enrique S. Quintana-Ortí
Ginkgo: A Modern Linear Operator Algebra Framework for High Performance Computing. ACM Trans. Math. Softw. 48 (1) (2022)
Yu-Hsiang Mike Tsai, Natalie Beams, Hartwig Anzt
Mixed Precision Algebraic Multigrid on GPUs. PPAM (1) (2022)
Emmanuel Agullo, Mirco Altenbernd, Hartwig Anzt, Leonardo Bautista-Gomez, Tommaso Benacchio, Luca Bonaventura, Hans-Joachim Bungartz, Sanjay Chatterjee, Florina M. Ciorba, Nathan DeBardeleben, Daniel Drzisga, Sebastian Eibl, Christian Engelmann, Wilfried N. Gansterer, Luc Giraud, Dominik Göddeke, Marco Heisig, Fabienne Jézéquel, Nils Kohl, Xiaoye Sherry Li, Romain Lion, Miriam Mehl, Paul Mycek, Michael Obersteiner, Enrique S. Quintana-Ortí, Francesco Rizzi, Ulrich Rüde, Martin Schulz, Fred Fung, Robert Speck, Linda Stals, Keita Teranishi, Samuel Thibault, Dominik Thönnes, Andreas Wagner, Barbara I. Wohlmuth
Resiliency in numerical algorithm design for extreme scale simulations. Int. J. High Perform. Comput. Appl. 36 (2) (2022)
Fritz Göbel, Thomas Grützmacher, Tobias Ribizel, Hartwig Anzt
Mixed Precision Incomplete and Factorized Sparse Approximate Inverse Preconditioning on GPUs. Euro-Par (2021)
Ahmad Abdelfattah, Hartwig Anzt, Erik G. Boman, Erin C. Carson, Terry Cojean, Jack J. Dongarra, Alyson Fox, Mark Gates, Nicholas J. Higham, Xiaoye S. Li, Jennifer A. Loe, Piotr Luszczek, Srikara Pranesh, Siva Rajamanickam, Tobias Ribizel, Barry F. Smith, Kasia Swirydowicz, Stephen J. Thomas, Stanimire Tomov, Yaohung M. Tsai, Ulrike Meier Yang
A survey of numerical linear algebra methods utilizing mixed-precision arithmetic. Int. J. High Perform. Comput. Appl. 35 (4) (2021)
Pratik Nayak, Fritz Göbel, Hartwig Anzt
A Collaborative Peer Review Process for Grading Coding Assignments. ICCS (6) (2021)
Hartwig Anzt, Eileen Kuehn, Goran Flegar
Crediting pull requests to open source research software as an academic contribution. J. Comput. Sci. 49 (2021)
Daniel S. Katz, Morane Gruenpeter, Tom Honeyman, Lorraine J. Hwang, Mark D. Wilkinson, Vanessa Sochat, Hartwig Anzt, Carole A. Goble
A Fresh Look at FAIR for Research Software. CoRR (2021)
Yuhsiang M. Tsai, Terry Cojean, Hartwig Anzt
Porting a sparse linear algebra math library to Intel GPUs. CoRR (2021)
Yuhsiang M. Tsai, Terry Cojean, Hartwig Anzt
Porting Sparse Linear Algebra to Intel GPUs. Euro-Par Workshops (2021)
Goran Flegar, Hartwig Anzt, Terry Cojean, Enrique S. Quintana-Ortí
Adaptive Precision Block-Jacobi for High Performance Preconditioning in the Ginkgo Linear Algebra Software. ACM Trans. Math. Softw. 47 (2) (2021)
Isha Aggarwal, Aditya Kashi, Pratik Nayak, Cody J. Balos, Carol S. Woodward, Hartwig Anzt
Batched Sparse Iterative Solvers for Computational Chemistry Simulations on GPUs. ScalA@SC (2021)
Pratik Nayak, Terry Cojean, Hartwig Anzt
Evaluating asynchronous Schwarz solvers on GPUs. Int. J. High Perform. Comput. Appl. 35 (3) (2021)
Emmanuel Agullo, Mirco Altenbernd, Hartwig Anzt, Leonardo Bautista-Gomez, Tommaso Benacchio, Luca Bonaventura, Hans-Joachim Bungartz, Sanjay Chatterjee, Florina M. Ciorba, Nathan DeBardeleben, Daniel Drzisga, Sebastian Eibl, Christian Engelmann, Wilfried N. Gansterer, Luc Giraud, Dominik Göddeke, Marco Heisig, Fabienne Jézéquel, Nils Kohl, Xiaoye Sherry Li, Romain Lion, Miriam Mehl, Paul Mycek, Michael Obersteiner, Enrique S. Quintana-Ortí, Francesco Rizzi, Ulrich Rüde, Martin Schulz, Fred Fung, Robert Speck, Linda Stals, Keita Teranishi, Samuel Thibault, Dominik Thönnes, Andreas Wagner, Barbara I. Wohlmuth
Resiliency in Numerical Algorithm Design for Extreme Scale Simulations. CoRR (2020)
Yuhsiang M. Tsai, Terry Cojean, Tobias Ribizel, Hartwig Anzt
Preparing Ginkgo for AMD GPUs - A Testimonial on Porting CUDA Code to HIP. CoRR (2020)
Yuhsiang Mike Tsai, Terry Cojean, Hartwig Anzt
Evaluating the Performance of NVIDIA's A100 Ampere GPU for Sparse Linear Algebra Computations. CoRR (2020)
José Ignacio Aliaga, Hartwig Anzt, Enrique S. Quintana-Ortí, Andrés E. Tomás, Yuhsiang M. Tsai
Balanced and Compressed Coordinate Layout for the Sparse Matrix-Vector Product on GPUs. Euro-Par Workshops (2020)
Yuhsiang M. Tsai, Terry Cojean, Hartwig Anzt
Sparse Linear Algebra on AMD and NVIDIA GPUs - The Race Is On. ISC (2020)
Hartwig Anzt, Terry Cojean, Yen-Chen Chen, Goran Flegar, Fritz Göbel, Thomas Grützmacher, Pratik Nayak, Tobias Ribizel, Yuhsiang M. Tsai
Ginkgo: A high performance numerical linear algebra library. J. Open Source Softw. 5 (52) (2020)
Pratik Nayak, Terry Cojean, Hartwig Anzt
Two-stage Asynchronous Iterative Solvers for multi-GPU Clusters. ScalA@SC (2020)
Hartwig Anzt, Terry Cojean, Goran Flegar, Fritz Göbel, Thomas Grützmacher, Pratik Nayak, Tobias Ribizel, Yu-Hsiang Tsai, Enrique S. Quintana-Ortí
Ginkgo: A Modern Linear Operator Algebra Framework for High Performance Computing. CoRR (2020)
Fritz Göbel, Hartwig Anzt, Terry Cojean, Goran Flegar, Enrique S. Quintana-Ortí
Multiprecision Block-Jacobi for Iterative Triangular Solves. Euro-Par (2020)
Ahmad Abdelfattah, Hartwig Anzt, Erik G. Boman, Erin C. Carson, Terry Cojean, Jack J. Dongarra, Mark Gates, Thomas Grützmacher, Nicholas J. Higham, Xiaoye Sherry Li, Neil Lindquist, Yang Liu, Jennifer A. Loe, Piotr Luszczek, Pratik Nayak, Srikara Pranesh, Sivasankaran Rajamanickam, Tobias Ribizel, Barry Smith, Kasia Swirydowicz, Stephen J. Thomas, Stanimire Tomov, Yaohung M. Tsai, Ichitaro Yamazaki, Ulrike Meier Yang
A Survey of Numerical Methods Utilizing Mixed Precision Arithmetic. CoRR (2020)
Thomas Grützmacher, Terry Cojean, Goran Flegar, Fritz Göbel, Hartwig Anzt
A customized precision format based on mantissa segmentation for accelerating sparse linear algebra. Concurr. Comput. Pract. Exp. 32 (15) (2020)
Terry Cojean, Yu-Hsiang Mike Tsai, Hartwig Anzt
Ginkgo - A Math Library designed for Platform Portability. CoRR (2020)
Hartwig Anzt, Felix Bach, Stephan Druskat, Frank Löffler, Axel Loewe, Bernhard Y. Renard, Gunnar Seemann, Alexander Struck, Elke Achhammer, Piush Aggarwal, Franziska Appel, Michael Bader, Lutz Brusch, Christian Busse, Gerasimos Chourdakis, Piotr Wojciech Dabrowski, Peter Ebert, Bernd Flemisch, Sven Friedl, Bernadette Fritzsch, Maximilian D. Funk, Volker Gast, Florian Goth, Jean-Noël Grad, Sibylle Hermann, Florian Hohmann, Stephan Janosch, Dominik Kutra, Jan Linxweiler, Thilo Muth, Wolfgang Peters-Kottig, Fabian Rack, Fabian H. C. Raters, Stephan Rave, Guido Reina, Malte Reißig, Timo Ropinski, Jörg Schaarschmidt, Heidi Seibold, Jan P. Thiele, Benjamin Uekermann, Stefan Unger, Rudolf Weeber
An environment for sustainable research software in Germany and beyond: current state, open challenges, and call for action. F1000Research 9 (2020)
Hartwig Anzt, Terry Cojean, Chen Yen-Chen, Jack J. Dongarra, Goran Flegar, Pratik Nayak, Stanimire Tomov, Yuhsiang M. Tsai, Weichung Wang
Load-balancing Sparse Matrix Vector Product Kernels on GPUs. ACM Trans. Parallel Comput. 7 (1) (2020)
Hartwig Anzt, Yuhsiang M. Tsai, Ahmad Abdelfattah, Terry Cojean, Jack J. Dongarra
Evaluating the Performance of NVIDIA's A100 Ampere GPU for Sparse and Batched Computations. PMBS@SC (2020)
Hartwig Anzt, Felix Bach, Stephan Druskat, Frank Löffler, Axel Loewe, Bernhard Y. Renard, Gunnar Seemann, Alexander Struck, Elke Achhammer, Piush Aggarwal, Franziska Appel, Michael Bader, Lutz Brusch, Christian Busse, Gerasimos Chourdakis, Piotr Wojtek Dabrowski, Peter Ebert, Bernd Flemisch, Sven Friedl, Bernadette Fritzsch, Maximilian D. Funk, Volker Gast, Florian Goth, Jean-Noël Grad, Sibylle Hermann, Florian Hohmann, Stephan Janosch, Dominik Kutra, Jan Linxweiler, Thilo Muth, Wolfgang Peters-Kottig, Fabian Rack, Fabian H. C. Raters, Stephan Rave, Guido Reina, Malte Reißig, Timo Ropinski, Jörg Schaarschmidt, Heidi Seibold, Jan P. Thiele, Benjamin Uekerman, Stefan Unger, Rudolf Weeber
An Environment for Sustainable Research Software in Germany and Beyond: Current State, Open Challenges, and Call for Action. CoRR (2020)
Pratik Nayak, Terry Cojean, Hartwig Anzt
Evaluating Abstract Asynchronous Schwarz solvers. CoRR (2020)
José Ignacio Aliaga, Hartwig Anzt, Thomas Grützmacher, Enrique S. Quintana-Ortí, Andrés E. Tomás
Compressed Basis GMRES on High Performance GPUs. CoRR (2020)
Piotr Luszczek, Yaohung M. Tsai, Neil Lindquist, Hartwig Anzt, Jack J. Dongarra
Scalable Data Generation for Evaluating Mixed-Precision Solvers. HPEC (2020)
Yuhsiang M. Tsai, Terry Cojean, Tobias Ribizel, Hartwig Anzt
Preparing Ginkgo for AMD GPUs - A Testimonial on Porting CUDA Code to HIP. Euro-Par Workshops (2020)
Tobias Ribizel, Hartwig Anzt
Parallel selection on GPUs. Parallel Comput. 91 (2020)
Thomas Grützmacher, Terry Cojean, Goran Flegar, Hartwig Anzt, Enrique S. Quintana-Ortí
Acceleration of PageRank with Customized Precision Based on Mantissa Segmentation. ACM Trans. Parallel Comput. 7 (1) (2020)
Hartwig Anzt, Tobias Ribizel, Goran Flegar, Edmond Chow, Jack J. Dongarra
ParILUT - A Parallel Threshold ILU for GPUs. IPDPS (2019)
Heike Jagode, Anthony Danalis, Hartwig Anzt, Jack J. Dongarra
PAPI software-defined events for in-depth performance analysis. Int. J. High Perform. Comput. Appl. 33 (6) (2019)
Hartwig Anzt, Jack J. Dongarra, Goran Flegar, Nicholas J. Higham, Enrique S. Quintana-Ortí
Adaptive precision in block-Jacobi preconditioning for iterative sparse linear system solvers. Concurr. Comput. Pract. Exp. 31 (6) (2019)
Hartwig Anzt, Goran Flegar, Thomas Grützmacher, Enrique S. Quintana-Ortí
Toward a modular precision ecosystem for high-performance computing. Int. J. High Perform. Comput. Appl. 33 (6) (2019)
Hartwig Anzt, Jack J. Dongarra, Goran Flegar, Enrique S. Quintana-Ortí
Variable-size batched Gauss-Jordan elimination for block-Jacobi preconditioning on graphics processors. Parallel Comput. 81 (2019)
Hartwig Anzt, Goran Flegar
Are we Doing the Right Thing? - A Critical Analysis of the Academic HPC Community. IPDPS Workshops (2019)
Hartwig Anzt, Jack J. Dongarra, Enrique S. Quintana-Ortí
Fine-grained bit-flip protection for relaxation methods. J. Comput. Sci. 36 (2019)
Tobias Ribizel, Hartwig Anzt
Approximate and Exact Selection on GPUs. IPDPS Workshops (2019)
Hartwig Anzt, Yen-Chen Chen, Terry Cojean, Jack J. Dongarra, Goran Flegar, Pratik Nayak, Enrique S. Quintana-Ortí, Yuhsiang M. Tsai, Weichung Wang
Towards Continuous Benchmarking: An Automated Performance Evaluation Framework for High Performance Software. PASC (2019)
Thomas Grützmacher, Hartwig Anzt
A Modular Precision Format for Decoupling Arithmetic Format and Storage Format. Euro-Par Workshops (2018)
Hartwig Anzt, Edmond Chow, Jack J. Dongarra
ParILUT - A New Parallel Threshold ILU Factorization. SIAM J. Sci. Comput. 40 (4) (2018)
Hartwig Anzt, Goran Flegar, Vedran Novakovic, Enrique S. Quintana-Ortí, Andrés E. Tomás
Residual Replacement in Mixed-Precision Iterative Refinement for Sparse Linear Systems. ISC Workshops (2018)
Edmond Chow, Hartwig Anzt, Jennifer A. Scott, Jack J. Dongarra
Using Jacobi iterations and blocking for solving sparse triangular systems in incomplete factorization preconditioning. J. Parallel Distributed Comput. 119 (2018)
Hartwig Anzt, Jack J. Dongarra, Goran Flegar, Thomas Grützmacher
Variable-Size Batched Condition Number Calculation on GPUs. SBAC-PAD (2018)
Thomas Grützmacher, Hartwig Anzt, Florian Scheidegger, Enrique S. Quintana-Ortí
High-Performance GPU Implementation of PageRank with Reduced Precision Based on Mantissa Segmentation. IA3@SC (2018)
Hartwig Anzt, Thomas K. Huckle, Jürgen Bräckle, Jack J. Dongarra
Incomplete Sparse Approximate Inverses for Parallel Preconditioning. Parallel Comput. 71 (2018)
Hartwig Anzt, Jack J. Dongarra
A Jaccard Weights Kernel Leveraging Independent Thread Scheduling on GPUs. SBAC-PAD (2018)
Hartwig Anzt, Moritz Kreutzer, Eduardo Ponce, Gregory D. Peterson, Gerhard Wellein, Jack J. Dongarra
Optimization and performance evaluation of the IDR iterative Krylov solver on GPUs. Int. J. High Perform. Comput. Appl. 32 (2) (2018)
Hartwig Anzt, Gary Collins, Jack J. Dongarra, Goran Flegar, Enrique S. Quintana-Ortí
Flexible batched sparse matrix-vector product on GPUs. ScalA@SC (2017)
Hartwig Anzt, Stanimire Tomov, Jack J. Dongarra
On the performance and energy efficiency of sparse linear algebra on GPUs. Int. J. High Perform. Comput. Appl. 31 (5) (2017)
Hartwig Anzt, Mark Gates, Jack J. Dongarra, Moritz Kreutzer, Gerhard Wellein, Martin Koehler
Preconditioned Krylov solvers on GPUs. Parallel Comput. 68 (2017)
Hartwig Anzt, Jack J. Dongarra, Goran Flegar, Enrique S. Quintana-Ortí
Batched Gauss-Jordan Elimination for Block-Jacobi Preconditioner Generation on GPUs. PMAM@PPoPP (2017)
Hartwig Anzt, Jack J. Dongarra, Goran Flegar, Enrique S. Quintana-Ortí
Variable-Size Batched LU for Small Matrices and Its Integration into Block-Jacobi Preconditioning. ICPP (2017)
Jack J. Dongarra, Stanimire Tomov, Piotr Luszczek, Jakub Kurzak, Mark Gates, Ichitaro Yamazaki, Hartwig Anzt, Azzam Haidar, Ahmad Abdelfattah
With Extreme Computing, the Rules Have Changed. Comput. Sci. Eng. 19 (3) (2017)
Goran Flegar, Hartwig Anzt
Overcoming Load Imbalance for Irregular Sparse Matrices. IA3@SC (2017)
Hartwig Anzt, Jack J. Dongarra, Goran Flegar, Enrique S. Quintana-Ortí, Andrés E. Tomás
Variable-Size Batched Gauss-Huard for Block-Jacobi Preconditioning. ICCS (2017)
Hartwig Anzt, Marc Baboulin, Jack J. Dongarra, Yvan Fournier, Frank Hülsemann, Amal Khabou, Yushan Wang
Accelerating the Conjugate Gradient Algorithm with GPUs in CFD Simulations. VECPAR (2016)
Hartwig Anzt, Edmond Chow, Thomas Huckle, Jack J. Dongarra
Batched Generation of Incomplete Sparse Approximate Inverses on GPUs. ScalA@SC (2016)
Jakub Kurzak, Hartwig Anzt, Mark Gates, Jack J. Dongarra
Implementation and Tuning of Batched Cholesky Factorization and Solve for NVIDIA GPUs. IEEE Trans. Parallel Distributed Syst. 27 (7) (2016)
Chris J. Newburn, Gaurav Bansal, Michael Wood, Luis Crivelli, Judit Planas, Alejandro Duran, Paulo Souza, Leonardo Borges, Piotr Luszczek, Stanimire Tomov, Jack J. Dongarra, Hartwig Anzt, Mark Gates, Azzam Haidar, Yulu Jia, Khairul Kabir, Ichitaro Yamazaki, Jesús Labarta
Heterogeneous Streaming. IPDPS Workshops (2016)
Hartwig Anzt, Edmond Chow, Jens Saak, Jack J. Dongarra
Updating incomplete factorization preconditioners for model order reduction. Numer. Algorithms 73 (3) (2016)
Ahmad Abdelfattah, Hartwig Anzt, Jack J. Dongarra, Mark Gates, Azzam Haidar, Jakub Kurzak, Piotr Luszczek, Stanimire Tomov, Ichitaro Yamazaki, Asim YarKhan
Linear algebra software for large-scale accelerated multicore computing. Acta Numer. 25 (2016)
Hartwig Anzt, Jack J. Dongarra, Moritz Kreutzer, Gerhard Wellein, Martin Koehler
Efficiency of General Krylov Methods on GPUs - An Experimental Study. IPDPS Workshops (2016)
Hartwig Anzt, Edmond Chow, Jack J. Dongarra
Iterative Sparse Triangular Solves for Preconditioning. Euro-Par (2015)
Edmond Chow, Hartwig Anzt, Jack J. Dongarra
Asynchronous Iterative Algorithm for Computing Incomplete Factorizations on GPUs. ISC (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Hartwig Anzt