Toward a Systems Biology Software Toolkit. - Donald J. Johann; Michael D. McGuigan; Stanimire Tomov; Eric Blum; Gordon R. Whiteley; Emanuel F. Petricoin; Lance A. Liotta (CBMS, 2004)

Application of interactive parallel visualization for commodity-based clusters using visualization APIs. - Stanimire Tomov; Robert Bennett; Michael D. McGuigan; Arnold M. Peskin; Gordon Smith; John Spiletic (Comput. Graph., 2004)

Interactive visualization of higher dimensional data in a multiview environment - Stanimire Tomov; Michael D. McGuigan (CoRR, 2004)

Comparison of Nonlinear Conjugate-Gradient Methods for Computing the Electronic Properties of Nanostructure Architectures. - Stanimire Tomov; Julien Langou; Andrew Canning; Lin-Wang Wang; Jack J. Dongarra (International Conference on Computational Science (3), 2005)

Benchmarking and implementation of probability-based simulations on programmable graphics cards. - Stanimire Tomov; Michael D. McGuigan; Robert Bennett; Gordon Smith; John Spiletic (Comput. Graph., 2005)

Explicit and Averaging A Posteriori Error Estimates for Adaptive Finite Volume Methods. - Carsten Carstensen; Raytcho D. Lazarov; Stanimire Tomov (SIAM J. Numer. Anal., 2005)

Exploiting Mixed Precision Floating Point Hardware in Scientific Computations. - Alfredo Buttari; Jack J. Dongarra; Jakub Kurzak; Julie Langou; Julien Langou; Piotr Luszczek; Stanimire Tomov (High Performance Computing Workshop, 2006)

The Impact of Multicore on Math Software. - Alfredo Buttari; Jack J. Dongarra; Jakub Kurzak; Julien Langou; Piotr Luszczek; Stanimire Tomov (PARA, 2006)

Prospectus for the Next LAPACK and ScaLAPACK Libraries. - James Demmel; Jack J. Dongarra; Beresford N. Parlett; William Kahan; Ming Gu 002; David Bindel; Yozo Hida; Xiaoye S. Li; Osni Marques; E. Jason Riedy; Christof Vömel; Julien Langou; et al. (PARA, 2006)

Conjugate-gradient eigenvalue solvers in computing electronic properties of nanostructure architectures. - Stanimire Tomov; Julien Langou; Jack J. Dongarra; Andrew Canning; Lin-Wang Wang (Int. J. Comput. Sci. Eng., 2006)

The use of bulk states to accelerate the band edge state calculation of a semiconductor quantum dot. - Christof Vömel; Stanimire Tomov; Lin-Wang Wang; Osni A. Marques; Jack J. Dongarra (J. Comput. Phys., 2007)

Prospectus for a Dense Linear Algebra Software Library. - Yozo Hida; James Demmel; Julien Langou; Jakub Kurzak; Ming Gu 002; Alfredo Buttari; Stanimire Tomov; Piotr Luszczek; Julie Langou; Osni Marques; Christof Vömel; Xiaoye S. Li; et al. (Handbook of Parallel Computing, 2007)

State-of-the-art eigensolvers for electronic structure calculations of large scale nano-systems. - Christof Vömel; Stanimire Tomov; Osni A. Marques; Andrew Canning; Lin-Wang Wang; Jack J. Dongarra (J. Comput. Phys., 2008)

Using Mixed Precision for Sparse Matrix Computations to Enhance the Performance while Achieving 64-bit Accuracy. - Alfredo Buttari; Jack J. Dongarra; Jakub Kurzak; Piotr Luszczek; Stanimire Tomov (ACM Trans. Math. Softw., 2008)

A Note on Auto-tuning GEMM for GPUs. - Yinan Li 002; Jack J. Dongarra; Stanimire Tomov (ICCS (1), 2009)

Bulk based preconditioning for quantum dot computations. - Christof Vömel; Stanimire Tomov; Osni Marques (SAC, 2009)

Accelerating scientific computations with mixed precision algorithms. - Marc Baboulin; Alfredo Buttari; Jack J. Dongarra; Jakub Kurzak; Julie Langou; Julien Langou; Piotr Luszczek; Stanimire Tomov (Comput. Phys. Commun., 2009)

BLAS for GPUs. - Rajib Nath; Stanimire Tomov; Jack J. Dongarra (Scientific Computing with Multicore and Accelerators, 2010)

Dense Linear Algebra for Hybrid GPU-Based Systems. - Stanimire Tomov; Jack J. Dongarra (Scientific Computing with Multicore and Accelerators, 2010)

Mixed-Tool Performance Analysis on Hybrid Multicore Architectures. - Peng Du; Piotr Luszczek; Stanimire Tomov; Jack J. Dongarra (ICPP Workshops, 2010)

Dense linear algebra solvers for multicore with GPU accelerators. - Stanimire Tomov; Rajib Nath; Hatem Ltaief; Jack J. Dongarra (IPDPS Workshops, 2010)

A Scalable High Performant Cholesky Factorization for Multicore with GPU Accelerators. - Hatem Ltaief; Stanimire Tomov; Rajib Nath; Peng Du; Jack J. Dongarra (VECPAR, 2010)

Accelerating GPU Kernels for Dense Linear Algebra. - Rajib Nath; Stanimire Tomov; Jack J. Dongarra (VECPAR, 2010)

An Improved Magma Gemm For Fermi Graphics Processing Units. - Rajib Nath; Stanimire Tomov; Jack J. Dongarra (Int. J. High Perform. Comput. Appl., 2010)

Towards dense linear algebra for hybrid GPU accelerated manycore systems. - Stanimire Tomov; Jack J. Dongarra; Marc Baboulin (Parallel Comput., 2010)

Accelerating the reduction to upper Hessenberg, tridiagonal, and bidiagonal forms through hybrid GPU-based computing. - Stanimire Tomov; Rajib Nath; Jack J. Dongarra (Parallel Comput., 2010)

LU factorization for accelerator-based systems. - Emmanuel Agullo; Cédric Augonnet; Jack J. Dongarra; Mathieu Faverge; Julien Langou; Hatem Ltaief; Stanimire Tomov (AICCSA, 2011)

Performance Portability of a GPU Enabled Factorization with the DAGuE Framework. - George Bosilca; Aurélien Bouteiller; Thomas Hérault; Pierre Lemarinier; Narapat Ohm Saengpatsa; Stanimire Tomov; Jack J. Dongarra (CLUSTER, 2011)

A Fully Empirical Autotuned Dense QR Factorization for Multicore Architectures. - Emmanuel Agullo; Jack J. Dongarra; Rajib Nath; Stanimire Tomov (Euro-Par (2), 2011)

Introduction. - Wolfgang Karl; Samuel Thibault; Stanimire Tomov; Taisuke Boku (Euro-Par (2), 2011)

Parallel Performance Measurement of Heterogeneous Parallel Systems with GPUs. - Allen D. Malony; Scott Biersdorff; Sameer Shende; Heike Jagode; Stanimire Tomov; Guido Juckeland; Robert Dietrich; Duncan Poole; Christopher Lamb 001 (ICPP, 2011)

QR Factorization on a Multicore Node Enhanced with Multiple GPU Accelerators. - Emmanuel Agullo; Cédric Augonnet; Jack J. Dongarra; Mathieu Faverge; Hatem Ltaief; Samuel Thibault; Stanimire Tomov (IPDPS, 2011)

Optimizing symmetric dense matrix-vector multiplication on GPUs. - Rajib Nath; Stanimire Tomov; Tingxing Dong; Jack J. Dongarra (SC, 2011)

Fully Empirical Autotuned QR Factorization For Multicore Architectures - Emmanuel Agullo; Jack J. Dongarra; Rajib Nath; Stanimire Tomov (CoRR, 2011)

Dense Linear Algebra on Accelerated Multicore Hardware. - Jack J. Dongarra; Jakub Kurzak; Piotr Luszczek; Stanimire Tomov (High-Performance Scientific Computing, 2012)

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

Scalable Dense Linear Algebra on Heterogeneous Hardware. - George Bosilca; Aurélien Bouteiller; Anthony Danalis; Thomas Hérault; Jakub Kurzak; Piotr Luszczek; Stanimire Tomov; Jack J. Dongarra (High Performance Computing Workshop (2), 2012)

Enabling and scaling matrix computations on heterogeneous multi-core and multi-GPU systems. - Fengguang Song; Stanimire Tomov; Jack J. Dongarra (ICS, 2012)

Abstract: Matrices Over Runtime Systems at Exascale. - Emmanuel Agullo; George Bosilca; Bérenger Bramas; Cedric Castagnede; Olivier Coulaud; Eric Darve; Jack J. Dongarra; Mathieu Faverge; Nathalie Furmento; Luc Giraud; Xavier Lacoste; Julien Langou; et al. (SC Companion, 2012)

Poster: Matrices over Runtime Systems at Exascale. - Emmanuel Agullo; George Bosilca; Bérenger Bramas; Cedric Castagnede; Olivier Coulaud; Eric Darve; Jack J. Dongarra; Mathieu Faverge; Nathalie Furmento; Luc Giraud; Xavier Lacoste; Julien Langou; et al. (SC Companion, 2012)

Abstract: A Novel Hybrid CPU-GPU Generalized Eigensolver for Electronic Structure Calculations Based on Fine Grained Memory Aware Tasks. - Raffaele Solcà; Azzam Haidar; Stanimire Tomov; Thomas C. Schulthess; Jack J. Dongarra (SC Companion, 2012)

Poster: A Novel Hybrid CPU-GPU Generalized Eigensolver for Electronic Structure Calculations Based on Fine Grained Memory Aware Tasks. - Raffaele Solcà; Azzam Haidar; Stanimire Tomov; Thomas C. Schulthess; Jack J. Dongarra (SC Companion, 2012)

A hybrid Hermitian general eigenvalue solver - Raffaele Solcà; Thomas C. Schulthess; Azzam Haidar; Stanimire Tomov; Ichitaro Yamazaki; Jack J. Dongarra (CoRR, 2012)

From CUDA to OpenCL: Towards a performance-portable solution for multi-platform GPU programming. - Peng Du; Rick Weber; Piotr Luszczek; Stanimire Tomov; Gregory D. Peterson; Jack J. Dongarra (Parallel Comput., 2012)

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

A Class of Communication-avoiding Algorithms for Solving General Dense Linear Systems on CPU/GPU Parallel Machines. - Marc Baboulin; Simplice Donfack; Jack J. Dongarra; Laura Grigori; Adrien Rémy; Stanimire Tomov (ICCS, 2012)

One-sided Dense Matrix Factorizations on a Multicore with Multiple GPU Accelerators. - Ichitaro Yamazaki; Stanimire Tomov (ICCS, 2012)

Divide and Conquer on Hybrid GPU-Accelerated Multicore Systems. - Christof Vömel; Stanimire Tomov; Jack J. Dongarra (SIAM J. Sci. Comput., 2012)

Autotuning GEMM Kernels for the Fermi GPU. - Jakub Kurzak; Stanimire Tomov; Jack J. Dongarra (IEEE Trans. Parallel Distributed Syst., 2012)

Toward a scalable multi-GPU eigensolver via compute-intensive kernels and efficient communication. - Azzam Haidar; Mark Gates; Stanimire Tomov; Jack J. Dongarra (ICS, 2013)

Tridiagonalization of a Symmetric Dense Matrix on a GPU Cluster. - Ichitaro Yamazaki; Tingxing Dong; Stanimire Tomov; Jack J. Dongarra (IPDPS Workshops, 2013)

Portable HPC Programming on Intel Many-Integrated-Core Hardware with MAGMA Port to Xeon Phi. - Jack J. Dongarra; Mark Gates; Azzam Haidar; Yulu Jia; Khairul Kabir; Piotr Luszczek; Stanimire Tomov (PPAM (1), 2013)

Leading Edge Hybrid Multi-GPU Algorithms for Generalized Eigenproblems in Electronic Structure Calculations. - Azzam Haidar; Raffaele Solcà; Mark Gates; Stanimire Tomov; Thomas C. Schulthess; Jack J. Dongarra (ISC, 2013)

Soft error resilient QR factorization for hybrid system with GPGPU. - Peng Du; Piotr Luszczek; Stanimire Tomov; Jack J. Dongarra (J. Comput. Sci., 2013)

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

Accelerating Linear System Solutions Using Randomization Techniques. - Marc Baboulin; Jack J. Dongarra; Julien Herrmann; Stanimire Tomov (ACM Trans. Math. Softw., 2013)

Accelerating Numerical Dense Linear Algebra Calculations with GPUs. - Jack J. Dongarra; Mark Gates; Azzam Haidar; Jakub Kurzak; Piotr Luszczek; Stanimire Tomov; Ichitaro Yamazaki (Numerical Computations with GPUs, 2014)

Access-averse framework for computing low-rank matrix approximations. - Ichitaro Yamazaki; Théo Mary; Jakub Kurzak; Stanimire Tomov; Jack J. Dongarra (IEEE BigData, 2014)

LU Factorization of Small Matrices: Accelerating Batched DGETRF on the GPU. - Tingxing Dong; Azzam Haidar; Piotr Luszczek; James Austin Harris; Stanimire Tomov; Jack J. Dongarra (HPCC/CSS/ICESS, 2014)

A Fast Batched Cholesky Factorization on a GPU. - Tingxing Dong; Azzam Haidar; Stanimire Tomov; Jack J. Dongarra (ICPP, 2014)

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)

Dynamically Balanced Synchronization-Avoiding LU Factorization with Multicore and GPUs. - Simplice Donfack; Stanimire Tomov; Jack J. Dongarra (IPDPS Workshops, 2014)

A Step towards Energy Efficient Computing: Redesigning a Hydrodynamic Application on CPU-GPU. - Tingxing Dong; Veselin Dobrev; Tzanio V. Kolev; Robert N. Rieben; Stanimire Tomov; Jack J. Dongarra (IPDPS, 2014)

Unified Development for Mixed Multi-GPU and Multi-coprocessor Environments Using a Lightweight Runtime Environment. - Azzam Haidar; Chongxiao Cao; Asim YarKhan; Piotr Luszczek; Stanimire Tomov; Khairul Kabir; Jack J. Dongarra (IPDPS, 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)

clMAGMA: high performance dense linear algebra with OpenCL. - Chongxiao Cao; Jack J. Dongarra; Peng Du; Mark Gates; Piotr Luszczek; Stanimire Tomov (IWOCL, 2014)

Performance and portability with OpenCL for throughput-oriented HPC workloads across accelerators, coprocessors, and multicore processors. - Chongxiao Cao; Mark Gates; Azzam Haidar; Piotr Luszczek; Stanimire Tomov; Ichitaro Yamazaki; Jack J. Dongarra (ScalA@SC, 2014)

Domain Decomposition Preconditioners for Communication-Avoiding Krylov Methods on a Hybrid CPU/GPU Cluster. - Ichitaro Yamazaki; Sivasankaran Rajamanickam; Erik G. Boman; Mark Hoemmen; Michael A. Heroux; Stanimire Tomov (SC, 2014)

Deflation strategies to improve the convergence of communication-avoiding GMRES. - Ichitaro Yamazaki; Stanimire Tomov; Jack J. Dongarra (ScalA@SC, 2014)

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

Heterogenous Acceleration for Linear Algebra in Multi-coprocessor Environments. - Azzam Haidar; Piotr Luszczek; Stanimire Tomov; Jack J. Dongarra (VECPAR, 2014)

Mixed-Precision Orthogonalization Scheme and Adaptive Step Size for Improving the Stability and Performance of CA-GMRES on GPUs. - Ichitaro Yamazaki; Stanimire Tomov; Tingxing Dong; Jack J. Dongarra (VECPAR, 2014)

Tridiagonalization of a dense symmetric matrix on multiple GPUs and its application to symmetric eigenvalue problems. - Ichitaro Yamazaki; Tingxing Dong; Raffaele Solcà; Stanimire Tomov; Jack J. Dongarra; Thomas C. Schulthess (Concurr. Comput. Pract. Exp., 2014)

A novel hybrid CPU-GPU generalized eigensolver for electronic structure calculations based on fine-grained memory aware tasks. - Azzam Haidar; Stanimire Tomov; Jack J. Dongarra; Raffaele Solcà; Thomas C. Schulthess (Int. J. High Perform. Comput. Appl., 2014)

Model-Driven One-Sided Factorizations on Multicore Accelerated Systems. - Jack J. Dongarra; Azzam Haidar; Jakub Kurzak; Piotr Luszczek; Stanimire Tomov; Asim YarKhan (Supercomput. Front. Innov., 2014)

Flexible Linear Algebra Development and Scheduling with Cholesky Factorization. - Azzam Haidar; Asim YarKhan; Chongxiao Cao; Piotr Luszczek; Stanimire Tomov; Jack J. Dongarra (HPCC/CSS/ICESS, 2015)

MAGMA embedded: Towards a dense linear algebra library for energy efficient extreme computing. - Azzam Haidar; Stanimire Tomov; Piotr Luszczek; Jack J. Dongarra (HPEC, 2015)

Performance Analysis and Optimisation of Two-sided Factorization Algorithms for Heterogeneous Platform. - Khairul Kabir; Azzam Haidar; Stanimire Tomov; Jack J. Dongarra (ICCS, 2015)

Dense Symmetric Indefinite Factorization on GPU Accelerated Architectures. - Marc Baboulin; Jack J. Dongarra; Adrien Rémy; Stanimire Tomov; Ichitaro Yamazaki (PPAM (1), 2015)

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

Towards batched linear solvers on accelerated hardware platforms. - Azzam Haidar; Tingxing Dong; Piotr Luszczek; Stanimire Tomov; Jack J. Dongarra (PPoPP, 2015)

Optimization for performance and energy for batched matrix computations on GPUs. - Azzam Haidar; Tingxing Dong; Piotr Luszczek; Stanimire Tomov; Jack J. Dongarra (GPGPU@PPoPP, 2015)

Weighted dynamic scheduling with many parallelism grains for offloading of numerical workloads to multiple varied accelerators. - Azzam Haidar; Yulu Jia; Piotr Luszczek; Stanimire Tomov; Asim YarKhan; Jack J. Dongarra (ScalA@SC, 2015)

Performance of random sampling for computing low-rank approximations of a dense matrix on GPUs. - Théo Mary; Ichitaro Yamazaki; Jakub Kurzak; Piotr Luszczek; Stanimire Tomov; Jack J. Dongarra (SC, 2015)

Efficient implementation of quantum materials simulations on distributed CPU-GPU systems. - Raffaele Solcà; Anton Kozhevnikov; Azzam Haidar; Stanimire Tomov; Jack J. Dongarra; Thomas C. Schulthess (SC, 2015)

Mixed-precision block gram Schmidt orthogonalization. - Ichitaro Yamazaki; Stanimire Tomov; Jakub Kurzak; Jack J. Dongarra; Jesse L. Barlow (ScalA@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)

Performance analysis and design of a hessenberg reduction using stabilized blocked elementary transformations for new architectures. - Khairul Kabir; Azzam Haidar; Stanimire Tomov; Jack J. Dongarra (SpringSim (HPS), 2015)

A Framework for Batched and GPU-Resident Factorization Algorithms Applied to Block Householder Transformations. - Azzam Haidar; Tingxing Tim Dong; Stanimire Tomov; Piotr Luszczek; Jack J. Dongarra (ISC, 2015)

On the Design, Development, and Analysis of Optimized Matrix-Vector Multiplication Routines for Coprocessors. - Khairul Kabir; Azzam Haidar; Stanimire Tomov; Jack J. Dongarra (ISC, 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)

Mixed-Precision Cholesky QR Factorization and Its Case Studies on Multicore CPU with Multiple GPUs. - Ichitaro Yamazaki; Stanimire Tomov; Jack J. Dongarra (SIAM J. Sci. Comput., 2015)

HPC Programming on Intel Many-Integrated-Core Hardware with MAGMA Port to Xeon Phi. - Jack J. Dongarra; Mark Gates; Azzam Haidar; Yulu Jia; Khairul Kabir; Piotr Luszczek; Stanimire Tomov (Sci. Program., 2015)

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. - Ichitaro Yamazaki; Stanimire Tomov; Jack J. Dongarra (Sci. Program., 2015)

Parallel Programming Models for Dense Linear Algebra on Heterogeneous Systems. - Jack J. Dongarra; Maksims Abalenkovs; Ahmad Abdelfattah; Mark Gates; Azzam Haidar; Jakub Kurzak; Piotr Luszczek; Stanimire Tomov; Ichitaro Yamazaki; Asim YarKhan (Supercomput. Front. Innov., 2015)

High-Performance Matrix-Matrix Multiplications of Very Small Matrices. - Ian Masliah; Ahmad Abdelfattah; Azzam Haidar; Stanimire Tomov; Marc Baboulin; Joël Falcou; Jack J. Dongarra (Euro-Par, 2016)

Performance analysis and acceleration of explicit integration for large kinetic networks using batched GPU computations. - Azzam Haidar; Benjamin Brock; Stanimire Tomov; Michael Guidry; Jay Jay Billings; Daniel Shyles; Jack J. Dongarra (HPEC, 2016)

LU, QR, and Cholesky factorizations: Programming model, performance analysis and optimization techniques for the Intel Knights Landing Xeon Phi. - Azzam Haidar; Stanimire Tomov; Konstantin Arturov; Murat Efe Guney; Shane Story; Jack J. Dongarra (HPEC, 2016)

High-Performance Tensor Contractions for GPUs. - 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 (ICCS, 2016)

Performance Tuning and Optimization Techniques of Fixed and Variable Size Batched Cholesky Factorization on GPUs. - Ahmad Abdelfattah; Azzam Haidar; Stanimire Tomov; Jack J. Dongarra (ICCS, 2016)

On the Development of Variable Size Batched Computation for Heterogeneous Parallel Architectures. - Ahmad Abdelfattah; Azzam Haidar; Stanimire Tomov; Jack J. Dongarra (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)

Towards Achieving Performance Portability Using Directives for Accelerators. - M. Graham Lopez; Verónica G. Vergara Larrea; Wayne Joubert; Oscar R. Hernandez; Azzam Haidar; Stanimire Tomov; Jack J. Dongarra (WACCPD@SC, 2016)

Performance, Design, and Autotuning of Batched GEMM for GPUs. - Ahmad Abdelfattah; Azzam Haidar; Stanimire Tomov; Jack J. Dongarra (ISC, 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)

Stability and Performance of Various Singular Value QR Implementations on Multicore CPU with a GPU. - Ichitaro Yamazaki; Stanimire Tomov; Jack J. Dongarra (ACM Trans. Math. Softw., 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)

Sampling algorithms to update truncated SVD. - Ichitaro Yamazaki; Stanimire Tomov; Jack J. Dongarra (IEEE BigData, 2017)

Power-aware computing: Measurement, control, and performance analysis for Intel Xeon Phi. - Azzam Haidar; Heike Jagode; Asim YarKhan; Phil Vaccaro; Stanimire Tomov; Jack J. Dongarra (HPEC, 2017)

Out of memory SVD solver for big data. - Azzam Haidar; Khairul Kabir; Diana Fayad; Stanimire Tomov; Jack J. Dongarra (HPEC, 2017)

Factorization and Inversion of a Million Matrices using GPUs: Challenges and Countermeasures. - Ahmad Abdelfattah; Azzam Haidar; Stanimire Tomov; Jack J. Dongarra (ICCS, 2017)

Optimizing the SVD Bidiagonalization Process for a Batch of Small Matrices. - Tingxing Dong; Azzam Haidar; Stanimire Tomov; Jack J. Dongarra (ICCS, 2017)

Novel HPC techniques to batch execution of many variable size BLAS computations on GPUs. - Ahmad Abdelfattah; Azzam Haidar; Stanimire Tomov; Jack J. Dongarra (ICS, 2017)

High-performance Cholesky factorization for GPU-only execution. - Azzam Haidar; Ahmad Abdelfattah; Stanimire Tomov; Jack J. Dongarra (GPGPU@PPoPP, 2017)

Investigating half precision arithmetic to accelerate dense linear system solvers. - Azzam Haidar; Panruo Wu; Stanimire Tomov; Jack J. Dongarra (ScalA@SC, 2017)

A Framework for Out of Memory SVD Algorithms. - Khairul Kabir; Azzam Haidar; Stanimire Tomov; Aurélien Bouteiller; Jack J. Dongarra (ISC, 2017)

Solving dense symmetric indefinite systems using GPUs. - Marc Baboulin; Jack J. Dongarra; Adrien Rémy; Stanimire Tomov; Ichitaro Yamazaki (Concurr. Comput. Pract. Exp., 2017)

Non-GPU-resident symmetric indefinite factorization. - Ichitaro Yamazaki; Stanimire Tomov; Jack J. Dongarra (Concurr. Comput. Pract. Exp., 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)

Structure-Aware Linear Solver for Realtime Convex Optimization for Embedded Systems. - Ichitaro Yamazaki; Saeid Nooshabadi; Stanimire Tomov; Jack J. Dongarra (IEEE Embed. Syst. Lett., 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)

Fast Cholesky factorization on GPUs for batch and native modes in MAGMA. - Ahmad Abdelfattah; Azzam Haidar; Stanimire Tomov; Jack J. Dongarra (J. Comput. Sci., 2017)

Optimizing the Fast Fourier Transform Using Mixed Precision on Tensor Core Hardware. - Anumeena Sorna; Xiaohe Cheng; Eduardo F. D'Azevedo; Kwai Wong; Stanimire Tomov (HiPC Workshops, 2018)

Optimizing GPU Kernels for Irregular Batch Workloads: A Case Study for Cholesky Factorization. - Ahmad Abdelfattah; Azzam Haidar; Stanimire Tomov; Jack J. Dongarra (HPEC, 2018)

The Design of Fast and Energy-Efficient Linear Solvers: On the Potential of Half-Precision Arithmetic and Iterative Refinement Techniques. - Azzam Haidar; Ahmad Abdelfattah; Mawussi Zounon; Panruo Wu; Srikara Pranesh; Stanimire Tomov; Jack J. Dongarra (ICCS (1), 2018)

Performance of Hierarchical-matrix BiCGStab Solver on GPU Clusters. - Ichitaro Yamazaki; Ahmad Abdelfattah; Akihiro Ida; Satoshi Ohshima; Stanimire Tomov; Rio Yokota; Jack J. Dongarra (IPDPS, 2018)

Harnessing GPU tensor cores for fast FP16 arithmetic to speed up mixed-precision iterative refinement solvers. - Azzam Haidar; Stanimire Tomov; Jack J. Dongarra; Nicholas J. Higham (SC, 2018)

On Deep Neural Networks for Detecting Heart Disease. - Nathalie-Sofia Tomov; Stanimire Tomov (CoRR, 2018)

Batched one-sided factorizations of tiny matrices using GPUs: Challenges and countermeasures. - Ahmad Abdelfattah; Azzam Haidar; Stanimire Tomov; Jack J. Dongarra (J. Comput. Sci., 2018)

Accelerating the SVD bi-diagonalization of a batch of small matrices using GPUs. - Tingxing Dong; Azzam Haidar; Stanimire Tomov; Jack J. Dongarra (J. Comput. Sci., 2018)

Accelerating the SVD two stage bidiagonal reduction and divide and conquer using GPUs. - Mark Gates; Stanimire Tomov; Jack J. Dongarra (Parallel Comput., 2018)

The Singular Value Decomposition: Anatomy of Optimizing an Algorithm for Extreme Scale. - Jack J. Dongarra; Mark Gates; Azzam Haidar; Jakub Kurzak; Piotr Luszczek; Stanimire Tomov; Ichitaro Yamazaki (SIAM Rev., 2018)

Analysis and Design Techniques towards High-Performance and Energy-Efficient Dense Linear Solvers on GPUs. - Ahmad Abdelfattah; Azzam Haidar; Stanimire Tomov; Jack J. Dongarra (IEEE Trans. Parallel Distributed Syst., 2018)

A Guide for Achieving High Performance with Very Small Matrices on GPU: A Case Study of Batched LU and Cholesky Factorizations. - Azzam Haidar; Ahmad Abdelfattah; Mawussi Zounon; Stanimire Tomov; Jack J. Dongarra (IEEE Trans. Parallel Distributed Syst., 2018)

Progressive Optimization of Batched LU Factorization on GPUs. - Ahmad Abdelfattah; Stanimire Tomov; Jack J. Dongarra (HPEC, 2019)

Fast Batched Matrix Multiplication for Small Sizes Using Half-Precision Arithmetic on GPUs. - Ahmad Abdelfattah; Stanimire Tomov; Jack J. Dongarra (IPDPS, 2019)

Towards Half-Precision Computation for Complex Matrices: A Case Study for Mixed Precision Solvers on GPUs. - Ahmad Abdelfattah; Stanimire Tomov; Jack J. Dongarra (ScalA@SC, 2019)

MagmaDNN: Towards High-Performance Data Analytics and Machine Learning for Data-Driven Scientific Computing. - Daniel Nichols; Nathalie-Sofia Tomov; Frank Betancourt; Stanimire Tomov; Kwai Wong; Jack J. Dongarra (ISC Workshops, 2019)

Hands-On Research and Training in High Performance Data Sciences, Data Analytics, and Machine Learning for Emerging Environments. - Kwai Wong; Stanimire Tomov; Jack J. Dongarra (ISC Workshops, 2019)

openDIEL: A Parallel Workflow Engine and Data Analytics Framework. - Frank Betancourt; Kwai Wong; Efosa Asemota; Quindell Marshall; Daniel Nichols; Stanimire Tomov (PEARC, 2019)

MagmaDNN: Accelerated Deep Learning Using MAGMA. - Daniel Nichols; Kwai Wong; Stanimire Tomov; Lucien Ng; Sihan Chen; Alex Gessinger (PEARC, 2019)

Investigating power capping toward energy-efficient scientific applications. - Azzam Haidar; Heike Jagode; Phil Vaccaro; Asim YarKhan; Stanimire Tomov; Jack J. Dongarra (Concurr. Comput. Pract. Exp., 2019)

Evaluation of directive-based performance portable programming models. - M. Graham Lopez; Wayne Joubert; Verónica G. Vergara Larrea; Oscar R. Hernandez; Azzam Haidar; Stanimire Tomov; Jack J. Dongarra (Int. J. High Perform. Comput. Netw., 2019)

Algorithms and optimization techniques for high-performance matrix-matrix multiplications of very small matrices. - Ian Masliah; Ahmad Abdelfattah; Azzam Haidar; Stanimire Tomov; Marc Baboulin; Joël Falcou; Jack J. Dongarra (Parallel Comput., 2019)

Solving Linear Diophantine Systems on Parallel Architectures. - Dmitry Zaitsev 001; Stanimire Tomov; Jack J. Dongarra (IEEE Trans. Parallel Distributed Syst., 2019)

Design, Optimization, and Benchmarking of Dense Linear Algebra Algorithms on AMD GPUs. - Cade Brown; Ahmad Abdelfattah; Stanimire Tomov; Jack J. Dongarra (HPEC, 2020)

Investigating the Benefit of FP16-Enabled Mixed-Precision Solvers for Symmetric Positive Definite Matrices Using GPUs. - Ahmad Abdelfattah; Stan Tomov; Jack J. Dongarra (ICCS (2), 2020)

heFFTe: Highly Efficient FFT for Exascale. - Alan Ayala; Stanimire Tomov; Azzam Haidar; Jack J. Dongarra (ICCS (1), 2020)

Asynchronous SGD for DNN training on Shared-memory Parallel Architectures. - Florent Lopez; Edmond Chow; Stanimire Tomov; Jack J. Dongarra (IPDPS Workshops, 2020)

High-Order Finite Element Method using Standard and Device-Level Batch GEMM on GPUs. - Natalie Beams; Ahmad Abdelfattah; Stan Tomov; Jack J. Dongarra; Tzanio V. Kolev; Yohann Dudouit (ScalA@SC, 2020)

Integrating Deep Learning in Domain Sciences at Exascale. - Rick Archibald; Edmond Chow; Eduardo F. D'Azevedo; Jack J. Dongarra; Markus Eisenbach 002; Rocco Febbo; Florent Lopez; Daniel Nichols; Stanimire Tomov; Kwai Wong; Junqi Yin (SMC, 2020)

Reducing the amount of out-of-core data access for GPU-accelerated randomized SVD. - Yuechao Lu; Ichitaro Yamazaki; Fumihiko Ino; Yasuyuki Matsushita; Stanimire Tomov; Jack J. Dongarra (Concurr. Comput. Pract. Exp., 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)

MAGMA templates for scalable linear algebra on emerging architectures. - Mohammed A. Al Farhan; Ahmad Abdelfattah; Stanimire Tomov; Mark Gates; Dalal Sukkari; Azzam Haidar; Robert Rosenberg; Jack J. Dongarra (Int. J. High Perform. Comput. Appl., 2020)

Matrix multiplication on batches of small matrices in half and half-complex precisions. - Ahmad Abdelfattah; Stanimire Tomov; Jack J. Dongarra (J. Parallel Distributed 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)

Accelerating Multi - Process Communication for Parallel 3-D FFT. - Alan Ayala; Stan Tomov; Miroslav Stoyanov; Azzam Haidar; Jack J. Dongarra (ExaMPI@SC, 2021)

A More Portable HeFFTe: Implementing a Fallback Algorithm for Scalable Fourier Transforms. - Daniel Sharp; Miroslav Stoyanov; Stanimire Tomov; Jack J. Dongarra (HPEC, 2021)

Scalability Issues in FFT Computation. - Alan Ayala; Stanimire Tomov; Miroslav Stoyanov; Jack J. Dongarra (PaCT, 2021)

Exploiting Block Structures of KKT Matrices for Efficient Solution of Convex Optimization Problems. - Zafar Iqbal; Saeid Nooshabadi; Ichitaro Yamazaki; Stanimire Tomov; Jack J. Dongarra (IEEE Access, 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)

Efficient exascale discretizations: High-order finite element methods. - 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; et al. (Int. J. High Perform. Comput. Appl., 2021)

Translational process: Mathematical software perspective. - Jack J. Dongarra; Mark Gates; Piotr Luszczek; Stanimire Tomov (J. Comput. Sci., 2021)

libCEED: Fast algebra for high-order element-based discretizations. - Jed Brown; Ahmad Abdelfattah; Valeria Barra; Natalie N. Beams; Jean-Sylvain Camier; Veselin Dobrev; Yohann Dudouit; Leila Ghaffari; Tzanio V. Kolev; David S. Medina; Will Pazner; Thilina Rathnayake; et al. (J. Open Source Softw., 2021)

GPU algorithms for Efficient Exascale Discretizations. - 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; et al. (Parallel Comput., 2021)

A Set of Batched Basic Linear Algebra Subprograms and LAPACK Routines. - 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 (ACM Trans. Math. Softw., 2021)

CEED/libCEED: v0.9.0. - Jed Brown; Ahmad Abdelfattah; Valeria Barra; Natalie Beams; Jean-Sylvain Camier; Veselin Dobrev; Yohann Dudouit; Leila Ghaffari; Tzanio V. Kolev; David S. Medina; Will Pazner; Thilina Ratnayaka; et al. (Zenodo, 2021)

libCEED: Efficient Extensible Discretization. - Jed Brown; Ahmad Abdelfattah; Valeria Barra; Natalie Beams; Jean-Sylvain Camier; Veselin Dobrev; Yohann Dudouit; Leila Ghaffari; Tzanio V. Kolev; David S. Medina; Will Pazner; Thilina Ratnayaka; et al. (Zenodo, 2021)

libCEED: Efficient Extensible Discretization. - Jed Brown; Ahmad Abdelfattah; Valeria Barra; Natalie Beams; Jean-Sylvain Camier; Veselin Dobrev; Yohann Dudouit; Leila Ghaffari; Tzanio V. Kolev; David S. Medina; Will Pazner; Thilina Ratnayaka; et al. (Zenodo, 2021)

Lossy all-to-all exchange for accelerating parallel 3-D FFTs on hybrid architectures with GPUs. - Sébastien Cayrols; Jiali Li; George Bosilca; Stanimire Tomov; Alan Ayala; Jack J. Dongarra (CLUSTER, 2022)

GPU-Based Homotopy Continuation for Minimal Problems in Computer Vision. - Chiang-Heng Chien; Hongyi Fan; Ahmad Abdelfattah; Elias P. Tsigaridas; Stanimire Tomov; Benjamin B. Kimia (CVPR, 2022)

Batch QR Factorization on GPUs: Design, Optimization, and Tuning. - Ahmad Abdelfattah; Stan Tomov; Jack J. Dongarra (ICCS (1), 2022)

Performance Analysis of Parallel FFT on Large Multi-GPU Systems. - Alan Ayala; Stan Tomov; Miroslav Stoyanov; Azzam Haidar; Jack J. Dongarra (IPDPS Workshops, 2022)

Addressing Irregular Patterns of Matrix Computations on GPUs and Their Impact on Applications Powered by Sparse Direct Solvers. - Ahmad Abdelfattah; Pieter Ghysels; Wajih Boukaram; Stanimire Tomov; Xiaoye Sherry Li; Jack J. Dongarra (SC, 2022)

Extending MAGMA Portability with OneAPI. - Anna Fortenberry; Stanimire Tomov (WACCPD@SC, 2022)

libCEED: Efficient Extensible Discretization. - Jed Brown; Ahmad Abdelfattah; Valeria Barra; Natalie Beams; Jean-Sylvain Camier; Veselin Dobrev; Yohann Dudouit; Leila Ghaffari; Tzanio V. Kolev; David S. Medina; Will Pazner; Thilina Ratnayaka; et al. (Zenodo, 2022)

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)

libCEED: Efficient Extensible Discretization. - Jed Brown; Ahmad Abdelfattah; Valeria Barra; Natalie Beams; Jean-Sylvain Camier; Veselin Dobrev; Yohann Dudouit; Leila Ghaffari; Tzanio V. Kolev; David S. Medina; Will Pazner; Thilina Ratnayaka; et al. (Zenodo, 2023)

Using Graph Neural Networks to Predict Gene-Autoimmune Disease Associations. - Noah Dahle; Meghan Kwon; Kwai Wong; Stanimire Tomov (PEARC, 2024)

PyMAGMA: A Python Interface for MAGMA. - Julian Halloy; Stephen Qiu; Stanimire Tomov; Kwai Wong (PEARC, 2024)

Implementing Single-precision and Half-precision Tensor Operations. - Kristina Wilson; Clifford Li; Hon Man Lau; Kwai Wong; Stanimire Tomov (PEARC, 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)

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)