Mixed Precision Iterative Refinement Methods for Linear Systems: Convergence Analysis Based on Krylov Subspace Methods. - Hartwig Anzt; Vincent Heuveline; Björn Rocker (PARA (2), 2010)

An Error Correction Solver for Linear Systems: Evaluation of Mixed Precision Implementations. - Hartwig Anzt; Vincent Heuveline; Björn Rocker (VECPAR, 2010)

Energy efficiency of mixed precision iterative refinement methods using hybrid hardware platforms - An evaluation of different solver and hardware configurations. - Hartwig Anzt; Björn Rocker; Vincent Heuveline (Comput. Sci. Res. Dev., 2010)

Analysis and optimization of power consumption in the iterative solution of sparse linear systems on multi-core and many-core platforms. - Hartwig Anzt; Vincent Heuveline; José Ignacio Aliaga; Maribel Castillo; Juan Carlos Fernández 002; Rafael Mayo 002; Enrique S. Quintana-Ortí (IGCC, 2011)

Power Consumption of Mixed Precision in the Iterative Solution of Sparse Linear Systems. - Hartwig Anzt; Vincent Heuveline; Björn Rocker; Maribel Castillo; Juan Carlos Fernández 002; Rafael Mayo 002; Enrique S. Quintana-Ortí (IPDPS Workshops, 2011)

HiFlow3: A Hardware-Aware Parallel Finite Element Package. - Hartwig Anzt; Werner Augustin; Martin Baumann 002; Thomas Gengenbach; Tobias Hahn; Andreas Helfrich-Schkarbanenko; Vincent Heuveline; Eva Ketelaer; Dimitar Lukarski; Andreas Nestler; Sebastian Ritterbusch; Staffan Ronnas; et al. (Parallel Tools Workshop, 2011)

GPU-Accelerated Asynchronous Error Correction for Mixed Precision Iterative Refinement. - Hartwig Anzt; Piotr Luszczek; Jack J. Dongarra; Vincent Heuveline (Euro-Par, 2012)

Weighted Block-Asynchronous Iteration on GPU-Accelerated Systems. - Hartwig Anzt; Stanimire Tomov; Jack J. Dongarra; Vincent Heuveline (Euro-Par Workshops, 2012)

Optimization of power consumption in the iterative solution of sparse linear systems on graphics processors. - Hartwig Anzt; Maribel Castillo; Juan Carlos Fernández 002; Vincent Heuveline; Francisco D. Igual; Rafael Mayo 002; Enrique S. Quintana-Ortí (Comput. Sci. Res. Dev., 2012)

Block-asynchronous Multigrid Smoothers for GPU-accelerated Systems. - Hartwig Anzt; Stanimire Tomov; Mark Gates; Jack J. Dongarra; Vincent Heuveline (ICCS, 2012)

Reformulated Conjugate Gradient for the Energy-Aware Solution of Linear Systems on GPUs. - José Ignacio Aliaga; Joaquín Pérez; Enrique S. Quintana-Ortí; Hartwig Anzt (ICPP, 2013)

Performance and Energy Analysis of the Iterative Solution of Sparse Linear Systems on Multicore and Manycore Architectures. - José Ignacio Aliaga; Hartwig Anzt; Maribel Castillo; Juan Carlos Fernández 002; Germán León; Joaquín Pérez; Enrique S. Quintana-Ortí (PPAM (1), 2013)

A block-asynchronous relaxation method for graphics processing units. - Hartwig Anzt; Stanimire Tomov; Jack J. Dongarra; Vincent Heuveline (J. Parallel Distributed Comput., 2013)

Optimizing Krylov Subspace Solvers on Graphics Processing Units. - Hartwig Anzt; William B. Sawyer; Stanimire Tomov; Piotr Luszczek; Ichitaro Yamazaki; Jack J. Dongarra (IPDPS Workshops, 2014)

Hybrid Multi-elimination ILU Preconditioners on GPUs. - Dimitar Lukarski; Hartwig Anzt; Stanimire Tomov; Jack J. Dongarra (IPDPS Workshops, 2014)

Improving the Performance of CA-GMRES on Multicores with Multiple GPUs. - Ichitaro Yamazaki; Hartwig Anzt; Stanimire Tomov; Mark Hoemmen; Jack J. Dongarra (IPDPS, 2014)

Self-adaptive Multiprecision Preconditioners on Multicore and Manycore Architectures. - Hartwig Anzt; Dimitar Lukarski; Stanimire Tomov; Jack J. Dongarra (VECPAR, 2014)

A unified energy footprint for simulation software. - Hartwig Anzt; Armen Beglarian; Suren Chilingaryan; Andrew Ferrone; Vincent Heuveline; Andreas Kopmann (Comput. Sci. Res. Dev., 2014)

Accelerating collaborative filtering using concepts from high performance computing. - Mark Gates; Hartwig Anzt; Jakub Kurzak; Jack J. Dongarra (IEEE BigData, 2015)

Iterative Sparse Triangular Solves for Preconditioning. - Hartwig Anzt; Edmond Chow; Jack J. Dongarra (Euro-Par, 2015)

Energy efficiency and performance frontiers for sparse computations on GPU supercomputers. - Hartwig Anzt; Stanimire Tomov; Jack J. Dongarra (PMAM@PPoPP, 2015)

Adaptive precision solvers for sparse linear systems. - Hartwig Anzt; Jack J. Dongarra; Enrique S. Quintana-Ortí (E2SC@SC, 2015)

Tuning stationary iterative solvers for fault resilience. - Hartwig Anzt; Jack J. Dongarra; Enrique S. Quintana-Ortí (ScalA@SC, 2015)

GPU-accelerated co-design of induced dimension reduction: algorithmic fusion and kernel overlap. - Hartwig Anzt; Eduardo Ponce; Gregory D. Peterson; Jack J. Dongarra (Co-HPC@SC, 2015)

Accelerating the LOBPCG method on GPUs using a blocked sparse matrix vector product. - Hartwig Anzt; Stanimire Tomov; Jack J. Dongarra (SpringSim (HPS), 2015)

Asynchronous Iterative Algorithm for Computing Incomplete Factorizations on GPUs. - Edmond Chow; Hartwig Anzt; Jack J. Dongarra (ISC, 2015)

Unveiling the performance-energy trade-off in iterative linear system solvers for multithreaded processors. - José Ignacio Aliaga; Hartwig Anzt; Maribel Castillo; Juan Carlos Fernández 002; Germán León; Joaquín Pérez; Enrique S. Quintana-Ortí (Concurr. Comput. Pract. Exp., 2015)

Experiences in autotuning matrix multiplication for energy minimization on GPUs. - Hartwig Anzt; Blake Haugen; Jakub Kurzak; Piotr Luszczek; Jack J. Dongarra (Concurr. Comput. Pract. Exp., 2015)

Acceleration of GPU-based Krylov solvers via data transfer reduction. - Hartwig Anzt; Stanimire Tomov; Piotr Luszczek; William B. Sawyer; Jack J. Dongarra (Int. J. High Perform. Comput. Appl., 2015)

Efficiency of General Krylov Methods on GPUs - An Experimental Study. - Hartwig Anzt; Jack J. Dongarra; Moritz Kreutzer; Gerhard Wellein; Martin Koehler (IPDPS Workshops, 2016)

Heterogeneous Streaming. - 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; et al. (IPDPS Workshops, 2016)

Batched Generation of Incomplete Sparse Approximate Inverses on GPUs. - Hartwig Anzt; Edmond Chow; Thomas Huckle; Jack J. Dongarra (ScalA@SC, 2016)

Accelerating the Conjugate Gradient Algorithm with GPUs in CFD Simulations. - Hartwig Anzt; Marc Baboulin; Jack J. Dongarra; Yvan Fournier; Frank Hülsemann; Amal Khabou; Yushan Wang (VECPAR, 2016)

Linear algebra software for large-scale accelerated multicore computing. - Ahmad Abdelfattah; Hartwig Anzt; Jack J. Dongarra; Mark Gates; Azzam Haidar; Jakub Kurzak; Piotr Luszczek; Stanimire Tomov; Ichitaro Yamazaki; Asim YarKhan (Acta Numer., 2016)

Updating incomplete factorization preconditioners for model order reduction. - Hartwig Anzt; Edmond Chow; Jens Saak; Jack J. Dongarra (Numer. Algorithms, 2016)

Implementation and Tuning of Batched Cholesky Factorization and Solve for NVIDIA GPUs. - Jakub Kurzak; Hartwig Anzt; Mark Gates; Jack J. Dongarra (IEEE Trans. Parallel Distributed Syst., 2016)

Domain Overlap for Iterative Sparse Triangular Solves on GPUs. - Hartwig Anzt; Edmond Chow; Daniel B. Szyld; Jack J. Dongarra (Software for Exascale Computing, 2016)

Bringing High Performance Computing to Big Data Algorithms. - Hartwig Anzt; Jack J. Dongarra; Mark Gates; Jakub Kurzak; Piotr Luszczek; Stanimire Tomov; Ichitaro Yamazaki (Handbook of Big Data Technologies, 2017)

Variable-Size Batched Gauss-Huard for Block-Jacobi Preconditioning. - Hartwig Anzt; Jack J. Dongarra; Goran Flegar; Enrique S. Quintana-Ortí; Andrés E. Tomás (ICCS, 2017)

Variable-Size Batched LU for Small Matrices and Its Integration into Block-Jacobi Preconditioning. - Hartwig Anzt; Jack J. Dongarra; Goran Flegar; Enrique S. Quintana-Ortí (ICPP, 2017)

Batched Gauss-Jordan Elimination for Block-Jacobi Preconditioner Generation on GPUs. - Hartwig Anzt; Jack J. Dongarra; Goran Flegar; Enrique S. Quintana-Ortí (PMAM@PPoPP, 2017)

Flexible batched sparse matrix-vector product on GPUs. - Hartwig Anzt; Gary Collins; Jack J. Dongarra; Goran Flegar; Enrique S. Quintana-Ortí (ScalA@SC, 2017)

Overcoming Load Imbalance for Irregular Sparse Matrices. - Goran Flegar; Hartwig Anzt (IA3@SC, 2017)

With Extreme Computing, the Rules Have Changed. - Jack J. Dongarra; Stanimire Tomov; Piotr Luszczek; Jakub Kurzak; Mark Gates; Ichitaro Yamazaki; Hartwig Anzt; Azzam Haidar; Ahmad Abdelfattah (Comput. Sci. Eng., 2017)

On the performance and energy efficiency of sparse linear algebra on GPUs. - Hartwig Anzt; Stanimire Tomov; Jack J. Dongarra (Int. J. High Perform. Comput. Appl., 2017)

Preconditioned Krylov solvers on GPUs. - Hartwig Anzt; Mark Gates; Jack J. Dongarra; Moritz Kreutzer; Gerhard Wellein; Martin Koehler (Parallel Comput., 2017)

A Modular Precision Format for Decoupling Arithmetic Format and Storage Format. - Thomas Grützmacher; Hartwig Anzt (Euro-Par Workshops, 2018)

A Jaccard Weights Kernel Leveraging Independent Thread Scheduling on GPUs. - Hartwig Anzt; Jack J. Dongarra (SBAC-PAD, 2018)

Variable-Size Batched Condition Number Calculation on GPUs. - Hartwig Anzt; Jack J. Dongarra; Goran Flegar; Thomas Grützmacher (SBAC-PAD, 2018)

High-Performance GPU Implementation of PageRank with Reduced Precision Based on Mantissa Segmentation. - Thomas Grützmacher; Hartwig Anzt; Florian Scheidegger; Enrique S. Quintana-Ortí (IA3@SC, 2018)

Residual Replacement in Mixed-Precision Iterative Refinement for Sparse Linear Systems. - Hartwig Anzt; Goran Flegar; Vedran Novakovic; Enrique S. Quintana-Ortí; Andrés E. Tomás (ISC Workshops, 2018)

Optimization and performance evaluation of the IDR iterative Krylov solver on GPUs. - Hartwig Anzt; Moritz Kreutzer; Eduardo Ponce; Gregory D. Peterson; Gerhard Wellein; Jack J. Dongarra (Int. J. High Perform. Comput. Appl., 2018)

Using Jacobi iterations and blocking for solving sparse triangular systems in incomplete factorization preconditioning. - Edmond Chow; Hartwig Anzt; Jennifer A. Scott; Jack J. Dongarra (J. Parallel Distributed Comput., 2018)

Incomplete Sparse Approximate Inverses for Parallel Preconditioning. - Hartwig Anzt; Thomas K. Huckle; Jürgen Bräckle; Jack J. Dongarra (Parallel Comput., 2018)

ParILUT - A New Parallel Threshold ILU Factorization. - Hartwig Anzt; Edmond Chow; Jack J. Dongarra (SIAM J. Sci. Comput., 2018)

Are we Doing the Right Thing? - A Critical Analysis of the Academic HPC Community. - Hartwig Anzt; Goran Flegar (IPDPS Workshops, 2019)

ParILUT - A Parallel Threshold ILU for GPUs. - Hartwig Anzt; Tobias Ribizel; Goran Flegar; Edmond Chow; Jack J. Dongarra (IPDPS, 2019)

Approximate and Exact Selection on GPUs. - Tobias Ribizel; Hartwig Anzt (IPDPS Workshops, 2019)

Towards Continuous Benchmarking: An Automated Performance Evaluation Framework for High Performance Software. - Hartwig Anzt; Yen-Chen Chen; Terry Cojean; Jack J. Dongarra; Goran Flegar; Pratik Nayak; Enrique S. Quintana-Ortí; Yuhsiang M. Tsai; Weichung Wang (PASC, 2019)

Adaptive precision in block-Jacobi preconditioning for iterative sparse linear system solvers. - Hartwig Anzt; Jack J. Dongarra; Goran Flegar; Nicholas J. Higham; Enrique S. Quintana-Ortí (Concurr. Comput. Pract. Exp., 2019)

Toward a modular precision ecosystem for high-performance computing. - Hartwig Anzt; Goran Flegar; Thomas Grützmacher; Enrique S. Quintana-Ortí (Int. J. High Perform. Comput. Appl., 2019)

PAPI software-defined events for in-depth performance analysis. - Heike Jagode; Anthony Danalis; Hartwig Anzt; Jack J. Dongarra (Int. J. High Perform. Comput. Appl., 2019)

Fine-grained bit-flip protection for relaxation methods. - Hartwig Anzt; Jack J. Dongarra; Enrique S. Quintana-Ortí (J. Comput. Sci., 2019)

Variable-size batched Gauss-Jordan elimination for block-Jacobi preconditioning on graphics processors. - Hartwig Anzt; Jack J. Dongarra; Goran Flegar; Enrique S. Quintana-Ortí (Parallel Comput., 2019)

Balanced and Compressed Coordinate Layout for the Sparse Matrix-Vector Product on GPUs. - José Ignacio Aliaga; Hartwig Anzt; Enrique S. Quintana-Ortí; Andrés E. Tomás; Yuhsiang M. Tsai (Euro-Par Workshops, 2020)

Multiprecision Block-Jacobi for Iterative Triangular Solves. - Fritz Göbel; Hartwig Anzt; Terry Cojean; Goran Flegar; Enrique S. Quintana-Ortí (Euro-Par, 2020)

Preparing Ginkgo for AMD GPUs - A Testimonial on Porting CUDA Code to HIP. - Yuhsiang M. Tsai; Terry Cojean; Tobias Ribizel; Hartwig Anzt (Euro-Par Workshops, 2020)

Scalable Data Generation for Evaluating Mixed-Precision Solvers. - Piotr Luszczek; Yaohung M. Tsai; Neil Lindquist; Hartwig Anzt; Jack J. Dongarra (HPEC, 2020)

Evaluating the Performance of NVIDIA's A100 Ampere GPU for Sparse and Batched Computations. - Hartwig Anzt; Yuhsiang M. Tsai; Ahmad Abdelfattah; Terry Cojean; Jack J. Dongarra (PMBS@SC, 2020)

Two-stage Asynchronous Iterative Solvers for multi-GPU Clusters. - Pratik Nayak; Terry Cojean; Hartwig Anzt (ScalA@SC, 2020)

Sparse Linear Algebra on AMD and NVIDIA GPUs - The Race Is On. - Yuhsiang M. Tsai; Terry Cojean; Hartwig Anzt (ISC, 2020)

A customized precision format based on mantissa segmentation for accelerating sparse linear algebra. - Thomas Grützmacher; Terry Cojean; Goran Flegar; Fritz Göbel; Hartwig Anzt (Concurr. Comput. Pract. Exp., 2020)

Evaluating Abstract Asynchronous Schwarz solvers. - Pratik Nayak; Terry Cojean; Hartwig Anzt (CoRR, 2020)

An Environment for Sustainable Research Software in Germany and Beyond: Current State, Open Challenges, and Call for Action. - Hartwig Anzt; Felix Bach; Stephan Druskat; Frank Löffler 001; Axel Loewe; Bernhard Y. Renard; Gunnar Seemann; Alexander Struck; Elke Achhammer; Piush Aggarwal; Franziska Appel; Michael Bader; et al. (CoRR, 2020)

A Survey of Numerical Methods Utilizing Mixed Precision Arithmetic. - 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 179; et al. (CoRR, 2020)

Evaluating the Performance of NVIDIA's A100 Ampere GPU for Sparse Linear Algebra Computations. - Yuhsiang Mike Tsai; Terry Cojean; Hartwig Anzt (CoRR, 2020)

Compressed Basis GMRES on High Performance GPUs. - José Ignacio Aliaga; Hartwig Anzt; Thomas Grützmacher; Enrique S. Quintana-Ortí; Andrés E. Tomás (CoRR, 2020)

An environment for sustainable research software in Germany and beyond: current state, open challenges, and call for action. - Hartwig Anzt; Felix Bach; Stephan Druskat; Frank Löffler 001; Axel Loewe; Bernhard Y. Renard; Gunnar Seemann; Alexander Struck; Elke Achhammer; Piush Aggarwal; Franziska Appel; Michael Bader; et al. (F1000Research, 2020)

Ginkgo: A high performance numerical linear algebra library. - Hartwig Anzt; Terry Cojean; Yen-Chen Chen; Goran Flegar; Fritz Göbel; Thomas Grützmacher; Pratik Nayak; Tobias Ribizel; Yuhsiang M. Tsai (J. Open Source Softw., 2020)

Parallel selection on GPUs. - Tobias Ribizel; Hartwig Anzt (Parallel Comput., 2020)

Load-balancing Sparse Matrix Vector Product Kernels on GPUs. - Hartwig Anzt; Terry Cojean; Chen Yen-Chen; Jack J. Dongarra; Goran Flegar; Pratik Nayak; Stanimire Tomov; Yuhsiang M. Tsai; Weichung Wang (ACM Trans. Parallel Comput., 2020)

Acceleration of PageRank with Customized Precision Based on Mantissa Segmentation. - Thomas Grützmacher; Terry Cojean; Goran Flegar; Hartwig Anzt; Enrique S. Quintana-Ortí (ACM Trans. Parallel Comput., 2020)

The Research Software Alliance (ReSA) and the community landscape. - Daniel S. Katz; Michelle Barker; Paula Andrea Martínez; Hartwig Anzt; Alejandra N. González-Beltrán; Tom Bakker (Zenodo, 2020)

Mixed Precision Incomplete and Factorized Sparse Approximate Inverse Preconditioning on GPUs. - Fritz Göbel; Thomas Grützmacher; Tobias Ribizel; Hartwig Anzt (Euro-Par, 2021)

Porting Sparse Linear Algebra to Intel GPUs. - Yuhsiang M. Tsai; Terry Cojean; Hartwig Anzt (Euro-Par Workshops, 2021)

A Collaborative Peer Review Process for Grading Coding Assignments. - Pratik Nayak; Fritz Göbel; Hartwig Anzt (ICCS (6), 2021)

Batched Sparse Iterative Solvers for Computational Chemistry Simulations on GPUs. - Isha Aggarwal; Aditya Kashi; Pratik Nayak; Cody J. Balos; Carol S. Woodward; Hartwig Anzt (ScalA@SC, 2021)

A Fresh Look at FAIR for Research Software. - Daniel S. Katz; Morane Gruenpeter; Tom Honeyman; Lorraine J. Hwang; Mark D. Wilkinson; Vanessa V. Sochat; Hartwig Anzt; Carole A. Goble (CoRR, 2021)

Porting a sparse linear algebra math library to Intel GPUs. - Yuhsiang M. Tsai; Terry Cojean; Hartwig Anzt (CoRR, 2021)

A survey of numerical linear algebra methods utilizing mixed-precision arithmetic. - 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; et al. (Int. J. High Perform. Comput. Appl., 2021)

Evaluating asynchronous Schwarz solvers on GPUs. - Pratik Nayak; Terry Cojean; Hartwig Anzt (Int. J. High Perform. Comput. Appl., 2021)

Crediting pull requests to open source research software as an academic contribution. - Hartwig Anzt; Eileen Kuehn; Goran Flegar (J. Comput. Sci., 2021)

Adaptive Precision Block-Jacobi for High Performance Preconditioning in the Ginkgo Linear Algebra Software. - Goran Flegar; Hartwig Anzt; Terry Cojean; Enrique S. Quintana-Ortí (ACM Trans. Math. Softw., 2021)

Lightning Talks of EduHPC 2022. - Apan Qasem; Hartwig Anzt; Eduard Ayguadé; Katharine J. Cahill; Ramon Canal; Jany Chan; Eric Fosler-Lussier; Fritz Göbel; Arpan Jain; Marcel Koch; Mateusz Kuzak; Josep Llosa; et al. (EduHPC@SC, 2022)

Batched sparse iterative solvers on GPU for the collision operator for fusion plasma simulations. - Aditya Kashi; Pratik Nayak; Dhruva Kulkarni; Aaron Scheinberg; Paul Lin; Hartwig Anzt (IPDPS, 2022)

Mixed Precision Algebraic Multigrid on GPUs. - Yu-Hsiang Mike Tsai; Natalie Beams; Hartwig Anzt (PPAM (1), 2022)

Prediction of Optimal Solvers for Sparse Linear Systems Using Deep Learning. - Yannick Funk; Markus Götz; Hartwig Anzt (PP, 2022)

Implementing Asynchronous Jacobi Iteration on GPUs. - Yu-Hsiang Mike Tsai; Pratik Nayak; Edmond Chow; Hartwig Anzt (ScalAH@SC, 2022)

Preconditioners for Batched Iterative Linear Solvers on GPUs. - Isha Aggarwal; Pratik Nayak; Aditya Kashi; Hartwig Anzt (SMC, 2022)

Compression and load balancing for efficient sparse matrix-vector product on multicore processors and graphics processing units. - José Ignacio Aliaga; Hartwig Anzt; Thomas Grützmacher; Enrique S. Quintana-Ortí; Andrés E. Tomás (Concurr. Comput. Pract. Exp., 2022)

Resiliency in numerical algorithm design for extreme scale simulations. - 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; et al. (Int. J. High Perform. Comput. Appl., 2022)

Ginkgo - A math library designed for platform portability. - Terry Cojean; Yu-Hsiang Mike Tsai; Hartwig Anzt (Parallel Comput., 2022)

Ginkgo: A Modern Linear Operator Algebra Framework for High Performance Computing. - Hartwig Anzt; Terry Cojean; Goran Flegar; Fritz Göbel; Thomas Grützmacher; Pratik Nayak; Tobias Ribizel; Yuhsiang Mike Tsai; Enrique S. Quintana-Ortí (ACM Trans. Math. Softw., 2022)

BDDC Preconditioning on GPUs for Cardiac Simulations. - Fritz Göbel; Terry Cojean; Hartwig Anzt (Euro-Par Workshops, 2023)

Utilizing batched solver ideas for efficient solution of non-batched linear systems. - Pratik Nayak; Hartwig Anzt (IPDPS Workshops, 2023)

PAQR: Pivoting Avoiding QR factorization. - 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 001; Jack J. Dongarra; Hartwig Anzt (IPDPS, 2023)

GPU-based LU Factorization and Solve on Batches of Matrices with Band Structure. - Ahmad Abdelfattah; Stanimire Tomov; Piotr Luszczek; Hartwig Anzt; Jack J. Dongarra (SC Workshops, 2023)

Porting Batched Iterative Solvers onto Intel GPUs with SYCL. - Phuong Nguyen; Pratik Nayak; Hartwig Anzt (SC Workshops, 2023)

Parallel Symbolic Cholesky Factorization. - Tobias Ribizel; Hartwig Anzt (SC Workshops, 2023)

Task-Based Polar Decomposition Using SLATE on Massively Parallel Systems with Hardware Accelerators. - Dalal Sukkari; Mark Gates; Mohammed A. Al Farhan; Hartwig Anzt; Jack J. Dongarra (SC Workshops, 2023)

A Mixed Precision Randomized Preconditioner for the LSQR Solver on GPUs. - Vasileios Georgiou; Christos Boutsikas; Petros Drineas; Hartwig Anzt (ISC, 2023)

Sparse matrix-vector and matrix-multivector products for the truncated SVD on graphics processors. - José Ignacio Aliaga; Hartwig Anzt; Enrique S. Quintana-Ortí; Andrés E. Tomás (Concurr. Comput. Pract. Exp., 2023)

Providing performance portable numerics for Intel GPUs. - Yu-Hsiang Tsai; Terry Cojean; Hartwig Anzt (Concurr. Comput. Pract. Exp., 2023)

GPU-Resident Sparse Direct Linear Solvers for Alternating Current Optimal Power Flow Analysis. - Kasia Swirydowicz; Nicholson Koukpaizan; Tobias Ribizel; Fritz Göbel; Shrirang Abhyankar; Hartwig Anzt; Slaven Peles (CoRR, 2023)

Earth Virtualization Engines: A Technical Perspective. - Torsten Hoefler; Bjorn Stevens; Andreas F. Prein; Johanna Baehr 002; Thomas C. Schulthess; Thomas F. Stocker; John A. Taylor; Daniel Klocke; Pekka Manninen; Piers M. Forster; Tobias Kölling; Nicolas Gruber; et al. (Comput. Sci. Eng., 2023)

Using Ginkgo's memory accessor for improving the accuracy of memory-bound low precision BLAS. - Thomas Grützmacher; Hartwig Anzt; Enrique S. Quintana-Ortí (Softw. Pract. Exp., 2023)

Compressed basis GMRES on high-performance graphics processing units. - José Ignacio Aliaga; Hartwig Anzt; Thomas Grützmacher; Enrique S. Quintana-Ortí; Andrés E. Tomás (Int. J. High Perform. Comput. Appl., 2023)

Fast truncated SVD of sparse and dense matrices on graphics processors. - Andrés E. Tomás; Enrique S. Quintana-Ortí; Hartwig Anzt (Int. J. High Perform. Comput. Appl., 2023)

Integrating batched sparse iterative solvers for the collision operator in fusion plasma simulations on GPUs. - Aditya Kashi; Pratik Nayak; Dhruva Kulkarni; Aaron Scheinberg; Paul Lin; Hartwig Anzt (J. Parallel Distributed Comput., 2023)

Three-precision algebraic multigrid on GPUs. - Yu-Hsiang Mike Tsai; Natalie Beams; Hartwig Anzt (Future Gener. Comput. Syst., 2023)

A Probabilistic Model for Asynchronous Iterative Methods. - Pratik Nayak; Hartwig Anzt (IPDPS (Workshops), 2024)

FRSZ2 for In-Register Block Compression Inside GMRES on GPUs. - Thomas Grützmacher; Robert Underwood; Sheng Di; Franck Cappello; Hartwig Anzt (SC Workshops, 2024)

Accelerating Fusion Plasma Collision Operator Solves with Portable Batched Iterative Solvers on GPUs. - Paul Lin; Pratik Nayak; Aditya Kashi; Dhruva Kulkarni; Aaron Scheinberg; Hartwig Anzt (ISC Workshops, 2024)

Interface for Sparse Linear Algebra Operations. - Ahmad Abdelfattah; Willow Ahrens; Hartwig Anzt; Chris Armstrong; Ben Brock; Aydin Buluç; Federico Busato; Terry Cojean; Timothy A. Davis 001; Jim Demmel; Grace Dinh; David Gardener; et al. (CoRR, 2024)

Then and Now: Improving Software Portability, Productivity, and 100× Performance. - Hartwig Anzt; Axel Huebl; Xiaoye S. Li (Comput. Sci. Eng., 2024)

Batched sparse and mixed-precision linear algebra interface for efficient use of GPU hardware accelerators in scientific applications. - Piotr Luszczek; Ahmad Abdelfattah; Hartwig Anzt; Atsushi Suzuki; Stanimire Tomov (Future Gener. Comput. Syst., 2024)

Ginkgo - A math library designed to accelerate Exascale Computing Project science applications. - Terry Cojean; Pratik Nayak; Tobias Ribizel; Natalie Beams; Yu-Hsiang Mike Tsai; Marcel Koch; Fritz Göbel; Thomas Grützmacher; Hartwig Anzt (Int. J. High Perform. Comput. Appl., 2024)

Multifacets of lossy compression for scientific data in the Joint-Laboratory of Extreme Scale Computing. - Franck Cappello; Mario C. Acosta; Emmanuel Agullo; Hartwig Anzt; Jon Calhoun 001; Sheng Di; Luc Giraud; Thomas Grützmacher; Sian Jin; Kentaro Sano; Kento Sato; Amarjit Singh; et al. (Future Gener. Comput. Syst., 2025)

JuMonC: A RESTful tool for enabling monitoring and control of simulations at scale. - Christian Witzler; Filipe Souza Mendes Guimarães; Daniel Mira; Hartwig Anzt; Jens Henrik Göbbert; Wolfgang Frings; Mathis Bode (Future Gener. Comput. Syst., 2025)

A BDDC Preconditioner for the Cardiac EMI Model in three Dimensions. - Fritz Göbel; Ngoc Mai Monica Huynh; Fatemeh Chegini; Luca F. Pavarino; Martin Weiser; Simone Scacchi; Hartwig Anzt (CoRR, 2025)

Permutation-Avoiding FFT-Based Convolution. - Nicolas Venkovic; Hartwig Anzt (CoRR, 2025)