Stanimire Tomov

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 80

Top Venues

HPEC

Int. J. High Perform. Comput. Appl.

IPDPS Workshops

ScalA@SC

Publications

Noah Dahle, Meghan Kwon, Kwai Wong, Stanimire Tomov
Using Graph Neural Networks to Predict Gene-Autoimmune Disease Associations. PEARC (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)
Julian Halloy, Stephen Qiu, Stanimire Tomov, Kwai Wong
PyMAGMA: A Python Interface for MAGMA. PEARC (2024)
Kristina Wilson, Clifford Li, Hon Man Lau, Kwai Wong, Stanimire Tomov
Implementing Single-precision and Half-precision Tensor Operations. PEARC (2024)
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)
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)
Chiang-Heng Chien, Hongyi Fan, Ahmad Abdelfattah, Elias P. Tsigaridas, Stanimire Tomov, Benjamin B. Kimia
GPU-Based Homotopy Continuation for Minimal Problems in Computer Vision. CVPR (2022)
Sébastien Cayrols, Jiali Li, George Bosilca, Stanimire Tomov, Alan Ayala, Jack J. Dongarra
Lossy all-to-all exchange for accelerating parallel 3-D FFTs on hybrid architectures with GPUs. CLUSTER (2022)
Anna Fortenberry, Stanimire Tomov
Extending MAGMA Portability with OneAPI. WACCPD@SC (2022)
Ahmad Abdelfattah, Pieter Ghysels, Wajih Boukaram, Stanimire Tomov, Xiaoye Sherry Li, Jack J. Dongarra
Addressing Irregular Patterns of Matrix Computations on GPUs and Their Impact on Applications Powered by Sparse Direct Solvers. SC (2022)
Tzanio V. Kolev, Paul Fischer, Misun Min, Jack J. Dongarra, Jed Brown, Veselin Dobrev, Tim Warburton, Stanimire Tomov, Mark S. Shephard, Ahmad Abdelfattah, Valeria Barra, Natalie Beams, Jean-Sylvain Camier, Noel Chalmers, Yohann Dudouit, Ali Karakus, Ian Karlin, Stefan Kerkemeier, Yu-Hsiang Lan, David Medina, Elia Merzari, Aleksandr Obabko, Will Pazner, Thilina Rathnayake, Cameron W. Smith, Lukas Spies, Kasia Swirydowicz, Jeremy L. Thompson, Ananias Tomboulides, Vladimir Z. Tomov
Efficient Exascale Discretizations: High-Order Finite Element Methods. CoRR (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)
Chiang-Heng Chien, Hongyi Fan, Ahmad Abdelfattah, Elias P. Tsigaridas, Stanimire Tomov, Benjamin B. Kimia
GPU-Based Homotopy Continuation for Minimal Problems in Computer Vision. CoRR (2021)
Daniel Sharp, Miroslav Stoyanov, Stanimire Tomov, Jack J. Dongarra
A More Portable HeFFTe: Implementing a Fallback Algorithm for Scalable Fourier Transforms. HPEC (2021)
Tzanio V. Kolev, Paul F. Fischer, Misun Min, Jack J. Dongarra, Jed Brown, Veselin Dobrev, Tim Warburton, Stanimire Tomov, Mark S. Shephard, Ahmad Abdelfattah, Valeria Barra, Natalie Beams, Jean-Sylvain Camier, Noel Chalmers, Yohann Dudouit, Ali Karakus, Ian Karlin, Stefan Kerkemeier, Yu-Hsiang Lan, David S. Medina, Elia Merzari, Aleksandr Obabko, Will Pazner, Thilina Rathnayake, Cameron W. Smith, Lukas Spies, Kasia Swirydowicz, Jeremy L. Thompson, Ananias Tomboulides, Vladimir Z. Tomov
Efficient exascale discretizations: High-order finite element methods. Int. J. High Perform. Comput. Appl. 35 (6) (2021)
Jack J. Dongarra, Mark Gates, Piotr Luszczek, Stanimire Tomov
Translational process: Mathematical software perspective. J. Comput. Sci. 52 (2021)
Ahmad Abdelfattah, Timothy B. Costa, Jack J. Dongarra, Mark Gates, Azzam Haidar, Sven Hammarling, Nicholas J. Higham, Jakub Kurzak, Piotr Luszczek, Stanimire Tomov, Mawussi Zounon
A Set of Batched Basic Linear Algebra Subprograms and LAPACK Routines. ACM Trans. Math. Softw. 47 (3) (2021)
Ahmad Abdelfattah, Valeria Barra, Natalie Beams, Ryan Bleile, Jed Brown, Jean-Sylvain Camier, Robert Carson, Noel Chalmers, Veselin Dobrev, Yohann Dudouit, Paul Fischer, Ali Karakus, Stefan Kerkemeier, Tzanio V. Kolev, Yu-Hsiang Lan, Elia Merzari, Misun Min, Malachi Phillips, Thilina Rathnayake, Robert N. Rieben, Thomas Stitt, Ananias Tomboulides, Stanimire Tomov, Vladimir Z. Tomov, Arturo Vargas, Tim Warburton, Kenneth Weiss
GPU Algorithms for Efficient Exascale Discretizations. CoRR (2021)
Zafar Iqbal, Saeid Nooshabadi, Ichitaro Yamazaki, Stanimire Tomov, Jack J. Dongarra
Exploiting Block Structures of KKT Matrices for Efficient Solution of Convex Optimization Problems. IEEE Access 9 (2021)
Alan Ayala, Stanimire Tomov, Miroslav Stoyanov, Jack J. Dongarra
Scalability Issues in FFT Computation. PaCT (2021)
Ahmad Abdelfattah, Valeria Barra, Natalie Beams, Ryan Bleile, Jed Brown, Jean-Sylvain Camier, Robert Carson, Noel Chalmers, Veselin Dobrev, Yohann Dudouit, Paul F. Fischer, Ali Karakus, Stefan Kerkemeier, Tzanio V. Kolev, Yu-Hsiang Lan, Elia Merzari, Misun Min, Malachi Phillips, Thilina Rathnayake, Robert N. Rieben, Thomas Stitt, Ananias Tomboulides, Stanimire Tomov, Vladimir Z. Tomov, Arturo Vargas, Tim Warburton, Kenneth Weiss
GPU algorithms for Efficient Exascale Discretizations. Parallel Comput. 108 (2021)
Ahmad Abdelfattah, Stanimire Tomov, Jack J. Dongarra
Matrix multiplication on batches of small matrices in half and half-complex precisions. J. Parallel Distributed Comput. 145 (2020)
Rick Archibald, Edmond Chow, Eduardo F. D'Azevedo, Jack J. Dongarra, Markus Eisenbach, Rocco Febbo, Florent Lopez, Daniel Nichols, Stanimire Tomov, Kwai Wong, Junqi Yin
Integrating Deep Learning in Domain Sciences at Exascale. CoRR (2020)
Florent Lopez, Edmond Chow, Stanimire Tomov, Jack J. Dongarra
Asynchronous SGD for DNN training on Shared-memory Parallel Architectures. IPDPS Workshops (2020)
Cade Brown, Ahmad Abdelfattah, Stanimire Tomov, Jack J. Dongarra
Design, Optimization, and Benchmarking of Dense Linear Algebra Algorithms on AMD GPUs. HPEC (2020)
Rick Archibald, Edmond Chow, Eduardo F. D'Azevedo, Jack J. Dongarra, Markus Eisenbach, Rocco Febbo, Florent Lopez, Daniel Nichols, Stanimire Tomov, Kwai Wong, Junqi Yin
Integrating Deep Learning in Domain Sciences at Exascale. SMC (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)
Alan Ayala, Stanimire Tomov, Azzam Haidar, Jack J. Dongarra
heFFTe: Highly Efficient FFT for Exascale. ICCS (1) (2020)
Mohammed A. Al Farhan, Ahmad Abdelfattah, Stanimire Tomov, Mark Gates, Dalal Sukkari, Azzam Haidar, Robert Rosenberg, Jack J. Dongarra
MAGMA templates for scalable linear algebra on emerging architectures. Int. J. High Perform. Comput. Appl. 34 (6) (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)
Yuechao Lu, Ichitaro Yamazaki, Fumihiko Ino, Yasuyuki Matsushita, Stanimire Tomov, Jack J. Dongarra
Reducing the amount of out-of-core data access for GPU-accelerated randomized SVD. Concurr. Comput. Pract. Exp. 32 (19) (2020)
Ahmad Abdelfattah, Stanimire Tomov, Jack J. Dongarra
Fast Batched Matrix Multiplication for Small Sizes Using Half-Precision Arithmetic on GPUs. IPDPS (2019)
Ahmad Abdelfattah, Stanimire Tomov, Jack J. Dongarra
Towards Half-Precision Computation for Complex Matrices: A Case Study for Mixed Precision Solvers on GPUs. ScalA@SC (2019)
Frank Betancourt, Kwai Wong, Efosa Asemota, Quindell Marshall, Daniel Nichols, Stanimire Tomov
openDIEL: A Parallel Workflow Engine and Data Analytics Framework. PEARC (2019)
Ian Masliah, Ahmad Abdelfattah, Azzam Haidar, Stanimire Tomov, Marc Baboulin, Joël Falcou, Jack J. Dongarra
Algorithms and optimization techniques for high-performance matrix-matrix multiplications of very small matrices. Parallel Comput. 81 (2019)
Daniel Nichols, Kwai Wong, Stanimire Tomov, Lucien Ng, Sihan Chen, Alex Gessinger
MagmaDNN: Accelerated Deep Learning Using MAGMA. PEARC (2019)
Dmitry Zaitsev, Stanimire Tomov, Jack J. Dongarra
Solving Linear Diophantine Systems on Parallel Architectures. IEEE Trans. Parallel Distributed Syst. 30 (5) (2019)
M. Graham Lopez, Wayne Joubert, Verónica G. Vergara Larrea, Oscar R. Hernandez, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra
Evaluation of directive-based performance portable programming models. Int. J. High Perform. Comput. Netw. 14 (2) (2019)
Ahmad Abdelfattah, Stanimire Tomov, Jack J. Dongarra
Progressive Optimization of Batched LU Factorization on GPUs. HPEC (2019)
Daniel Nichols, Nathalie-Sofia Tomov, Frank Betancourt, Stanimire Tomov, Kwai Wong, Jack J. Dongarra
MagmaDNN: Towards High-Performance Data Analytics and Machine Learning for Data-Driven Scientific Computing. ISC Workshops (2019)
Azzam Haidar, Heike Jagode, Phil Vaccaro, Asim YarKhan, Stanimire Tomov, Jack J. Dongarra
Investigating power capping toward energy-efficient scientific applications. Concurr. Comput. Pract. Exp. 31 (6) (2019)
Kwai Wong, Stanimire Tomov, Jack J. Dongarra
Hands-On Research and Training in High Performance Data Sciences, Data Analytics, and Machine Learning for Emerging Environments. ISC Workshops (2019)
Azzam Haidar, Ahmad Abdelfattah, Mawussi Zounon, Stanimire Tomov, Jack J. Dongarra
A Guide for Achieving High Performance with Very Small Matrices on GPU: A Case Study of Batched LU and Cholesky Factorizations. IEEE Trans. Parallel Distributed Syst. 29 (5) (2018)
Mark Gates, Stanimire Tomov, Jack J. Dongarra
Accelerating the SVD two stage bidiagonal reduction and divide and conquer using GPUs. Parallel Comput. 74 (2018)
Tingxing Dong, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra
Accelerating the SVD bi-diagonalization of a batch of small matrices using GPUs. J. Comput. Sci. 26 (2018)
Azzam Haidar, Ahmad Abdelfattah, Mawussi Zounon, Panruo Wu, Srikara Pranesh, Stanimire Tomov, Jack J. Dongarra
The Design of Fast and Energy-Efficient Linear Solvers: On the Potential of Half-Precision Arithmetic and Iterative Refinement Techniques. ICCS (1) (2018)
Ahmad Abdelfattah, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra
Batched one-sided factorizations of tiny matrices using GPUs: Challenges and countermeasures. J. Comput. Sci. 26 (2018)
Ahmad Abdelfattah, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra
Analysis and Design Techniques towards High-Performance and Energy-Efficient Dense Linear Solvers on GPUs. IEEE Trans. Parallel Distributed Syst. 29 (12) (2018)
Nathalie-Sofia Tomov, Stanimire Tomov
On Deep Neural Networks for Detecting Heart Disease. CoRR (2018)
Ichitaro Yamazaki, Ahmad Abdelfattah, Akihiro Ida, Satoshi Ohshima, Stanimire Tomov, Rio Yokota, Jack J. Dongarra
Performance of Hierarchical-matrix BiCGStab Solver on GPU Clusters. IPDPS (2018)
Ahmad Abdelfattah, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra
Optimizing GPU Kernels for Irregular Batch Workloads: A Case Study for Cholesky Factorization. HPEC (2018)
Jack J. Dongarra, Mark Gates, Azzam Haidar, Jakub Kurzak, Piotr Luszczek, Stanimire Tomov, Ichitaro Yamazaki
The Singular Value Decomposition: Anatomy of Optimizing an Algorithm for Extreme Scale. SIAM Rev. 60 (4) (2018)
Azzam Haidar, Stanimire Tomov, Jack J. Dongarra, Nicholas J. Higham
Harnessing GPU tensor cores for fast FP16 arithmetic to speed up mixed-precision iterative refinement solvers. SC (2018)
Anumeena Sorna, Xiaohe Cheng, Eduardo F. D'Azevedo, Kwai Wong, Stanimire Tomov
Optimizing the Fast Fourier Transform Using Mixed Precision on Tensor Core Hardware. HiPC Workshops (2018)
Tingxing Dong, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra
Optimizing the SVD Bidiagonalization Process for a Batch of Small Matrices. ICCS (2017)
Ichitaro Yamazaki, Stanimire Tomov, Jack J. Dongarra
Non-GPU-resident symmetric indefinite factorization. Concurr. Comput. Pract. Exp. 29 (5) (2017)
Marc Baboulin, Jack J. Dongarra, Adrien Rémy, Stanimire Tomov, Ichitaro Yamazaki
Solving dense symmetric indefinite systems using GPUs. Concurr. Comput. Pract. Exp. 29 (9) (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)
Azzam Haidar, Ahmad Abdelfattah, Stanimire Tomov, Jack J. Dongarra
High-performance Cholesky factorization for GPU-only execution. GPGPU@PPoPP (2017)
Ichitaro Yamazaki, Saeid Nooshabadi, Stanimire Tomov, Jack J. Dongarra
Structure-Aware Linear Solver for Realtime Convex Optimization for Embedded Systems. IEEE Embed. Syst. Lett. 9 (3) (2017)
Azzam Haidar, Khairul Kabir, Diana Fayad, Stanimire Tomov, Jack J. Dongarra
Out of memory SVD solver for big data. HPEC (2017)
Ahmad Abdelfattah, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra
Fast Cholesky factorization on GPUs for batch and native modes in MAGMA. J. Comput. Sci. 20 (2017)
Ahmad Abdelfattah, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra
Novel HPC techniques to batch execution of many variable size BLAS computations on GPUs. ICS (2017)
Ichitaro Yamazaki, Stanimire Tomov, Jack J. Dongarra
Sampling algorithms to update truncated SVD. IEEE BigData (2017)
Khairul Kabir, Azzam Haidar, Stanimire Tomov, Aurélien Bouteiller, Jack J. Dongarra
A Framework for Out of Memory SVD Algorithms. ISC (2017)
Azzam Haidar, Panruo Wu, Stanimire Tomov, Jack J. Dongarra
Investigating half precision arithmetic to accelerate dense linear system solvers. ScalA@SC (2017)
Azzam Haidar, Heike Jagode, Asim YarKhan, Phil Vaccaro, Stanimire Tomov, Jack J. Dongarra
Power-aware computing: Measurement, control, and performance analysis for Intel Xeon Phi. HPEC (2017)
Ahmad Abdelfattah, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra
Factorization and Inversion of a Million Matrices using GPUs: Challenges and Countermeasures. ICCS (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)
Ahmad Abdelfattah, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra
Performance, Design, and Autotuning of Batched GEMM for GPUs. ISC (2016)
Ichitaro Yamazaki, Stanimire Tomov, Jack J. Dongarra
Stability and Performance of Various Singular Value QR Implementations on Multicore CPU with a GPU. ACM Trans. Math. Softw. 43 (2) (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)
M. Graham Lopez, Verónica G. Vergara Larrea, Wayne Joubert, Oscar R. Hernandez, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra
Towards Achieving Performance Portability Using Directives for Accelerators. WACCPD@SC (2016)
Azzam Haidar, Benjamin Brock, Stanimire Tomov, Michael Guidry, Jay Jay Billings, Daniel Shyles, Jack J. Dongarra
Performance analysis and acceleration of explicit integration for large kinetic networks using batched GPU computations. HPEC (2016)
Azzam Haidar, Stanimire Tomov, Konstantin Arturov, Murat Efe Guney, Shane Story, Jack J. Dongarra
LU, QR, and Cholesky factorizations: Programming model, performance analysis and optimization techniques for the Intel Knights Landing Xeon Phi. HPEC (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)
Ahmad Abdelfattah, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra
Performance Tuning and Optimization Techniques of Fixed and Variable Size Batched Cholesky Factorization on GPUs. ICCS (2016)
Ahmad Abdelfattah, Marc Baboulin, Veselin Dobrev, Jack J. Dongarra, Christopher W. Earl, Joel Falcou, Azzam Haidar, Ian Karlin, Tzanio V. Kolev, Ian Masliah, Stanimire Tomov
High-Performance Tensor Contractions for GPUs. ICCS (2016)
Ahmad Abdelfattah, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra
On the Development of Variable Size Batched Computation for Heterogeneous Parallel Architectures. IPDPS Workshops (2016)
Ian Masliah, Ahmad Abdelfattah, Azzam Haidar, Stanimire Tomov, Marc Baboulin, Joël Falcou, Jack J. Dongarra
High-Performance Matrix-Matrix Multiplications of Very Small Matrices. Euro-Par (2016)
Azzam Haidar, Tingxing Dong, Piotr Luszczek, Stanimire Tomov, Jack J. Dongarra
Towards batched linear solvers on accelerated hardware platforms. PPOPP (2015)
Khairul Kabir, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra
On the Design, Development, and Analysis of Optimized Matrix-Vector Multiplication Routines for Coprocessors. ISC (2015)
Jack J. Dongarra, Maksims Abalenkovs, Ahmad Abdelfattah, Mark Gates, Azzam Haidar, Jakub Kurzak, Piotr Luszczek, Stanimire Tomov, Ichitaro Yamazaki, Asim YarKhan
Parallel Programming Models for Dense Linear Algebra on Heterogeneous Systems. Supercomput. Front. Innov. 2 (4) (2015)
Khairul Kabir, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra
Performance Analysis and Optimisation of Two-sided Factorization Algorithms for Heterogeneous Platform. ICCS (2015)
Marc Baboulin, Jack J. Dongarra, Adrien Rémy, Stanimire Tomov, Ichitaro Yamazaki
Dense Symmetric Indefinite Factorization on GPU Accelerated Architectures. PPAM (1) (2015)
Ichitaro Yamazaki, Stanimire Tomov, Jack J. Dongarra
Computing Low-Rank Approximation of a Dense Matrix on Multicore CPUs with a GPU and Its Application to Solving a Hierarchically Semiseparable Linear System of Equations. Sci. Program. 2015 (2015)
Azzam Haidar, Tingxing Dong, Piotr Luszczek, Stanimire Tomov, Jack J. Dongarra
Optimization for performance and energy for batched matrix computations on GPUs. GPGPU@PPoPP (2015)
Hartwig Anzt, Stanimire Tomov, Jack J. Dongarra
Energy efficiency and performance frontiers for sparse computations on GPU supercomputers. PMAM@PPoPP (2015)
Jack J. Dongarra, Mark Gates, Azzam Haidar, Yulu Jia, Khairul Kabir, Piotr Luszczek, Stanimire Tomov
HPC Programming on Intel Many-Integrated-Core Hardware with MAGMA Port to Xeon Phi. Sci. Program. 2015 (2015)
Azzam Haidar, Tingxing Tim Dong, Stanimire Tomov, Piotr Luszczek, Jack J. Dongarra
A Framework for Batched and GPU-Resident Factorization Algorithms Applied to Block Householder Transformations. ISC (2015)
Azzam Haidar, Stanimire Tomov, Piotr Luszczek, Jack J. Dongarra
MAGMA embedded: Towards a dense linear algebra library for energy efficient extreme computing. HPEC (2015)
Hartwig Anzt, Stanimire Tomov, Piotr Luszczek, William B. Sawyer, Jack J. Dongarra
Acceleration of GPU-based Krylov solvers via data transfer reduction. Int. J. High Perform. Comput. Appl. 29 (3) (2015)
Azzam Haidar, Tingxing Dong, Piotr Luszczek, Stanimire Tomov, Jack J. Dongarra
Batched matrix computations on hardware accelerators based on GPUs. Int. J. High Perform. Comput. Appl. 29 (2) (2015)
Azzam Haidar, Yulu Jia, Piotr Luszczek, Stanimire Tomov, Asim YarKhan, Jack J. Dongarra
Weighted dynamic scheduling with many parallelism grains for offloading of numerical workloads to multiple varied accelerators. ScalA@SC (2015)
Théo Mary, Ichitaro Yamazaki, Jakub Kurzak, Piotr Luszczek, Stanimire Tomov, Jack J. Dongarra
Performance of random sampling for computing low-rank approximations of a dense matrix on GPUs. SC (2015)
Khairul Kabir, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra
Performance analysis and design of a hessenberg reduction using stabilized blocked elementary transformations for new architectures. SpringSim (HPS) (2015)
Ichitaro Yamazaki, Stanimire Tomov, Jakub Kurzak, Jack J. Dongarra, Jesse L. Barlow
Mixed-precision block gram Schmidt orthogonalization. ScalA@SC (2015)
Ichitaro Yamazaki, Stanimire Tomov, Jack J. Dongarra
Mixed-Precision Cholesky QR Factorization and Its Case Studies on Multicore CPU with Multiple GPUs. SIAM J. Sci. Comput. 37 (3) (2015)
Hartwig Anzt, Stanimire Tomov, Jack J. Dongarra
Accelerating the LOBPCG method on GPUs using a blocked sparse matrix vector product. SpringSim (HPS) (2015)
Azzam Haidar, Asim YarKhan, Chongxiao Cao, Piotr Luszczek, Stanimire Tomov, Jack J. Dongarra
Flexible Linear Algebra Development and Scheduling with Cholesky Factorization. HPCC/CSS/ICESS (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Stanimire Tomov