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Azzam Haidar
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2020 – today
- 2023
- [c52]Harun Bayraktar, Ali Charara, David Clark, Saul Cohen, Timothy B. Costa, Yao-Lung L. Fang, Yang Gao, Jack Guan, John A. Gunnels, Azzam Haidar, Andreas Hehn, Markus Höhnerbach, Matthew Jones, Tom Lubowe, Dmitry I. Lyakh, Shinya Morino, Paul Springer, Sam Stanwyck, Igor Terentyev, Satya Varadhan, Jonathan Wong, Takuma Yamaguchi:
cuQuantum SDK: A High-Performance Library for Accelerating Quantum Science. QCE 2023: 1050-1061 - [i2]Harun Bayraktar, Ali Charara, David Clark, Saul Cohen, Timothy B. Costa, Yao-Lung L. Fang, Yang Gao, Jack Guan, John A. Gunnels, Azzam Haidar, Andreas Hehn, Markus Höhnerbach, Matthew Jones, Tom Lubowe, Dmitry I. Lyakh, Shinya Morino, Paul Springer, Sam Stanwyck, Igor Terentyev, Satya Varadhan, Jonathan Wong, Takuma Yamaguchi:
cuQuantum SDK: A High-Performance Library for Accelerating Quantum Science. CoRR abs/2308.01999 (2023) - 2022
- [c51]Alan Ayala, Stan Tomov, Miroslav Stoyanov, Azzam Haidar, Jack J. Dongarra:
Performance Analysis of Parallel FFT on Large Multi-GPU Systems. IPDPS Workshops 2022: 372-381 - 2021
- [j24]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): 21:1-21:23 (2021) - [c50]Alan Ayala, Stan Tomov, Miroslav Stoyanov, Azzam Haidar, Jack J. Dongarra:
Accelerating Multi - Process Communication for Parallel 3-D FFT. ExaMPI@SC 2021: 46-53 - 2020
- [j23]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) - [c49]Alan Ayala, Stanimire Tomov, Azzam Haidar, Jack J. Dongarra:
heFFTe: Highly Efficient FFT for Exascale. ICCS (1) 2020: 262-275
2010 – 2019
- 2019
- [j22]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) - [j21]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): 165-182 (2019) - [j20]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: 1-21 (2019) - [j19]Jack J. Dongarra, Mark Gates, Azzam Haidar, Jakub Kurzak, Piotr Luszczek, Panruo Wu, Ichitaro Yamazaki, Asim YarKhan, Maksims Abalenkovs, Negin Bagherpour, Sven Hammarling, Jakub Sístek, David Stevens, Mawussi Zounon, Samuel D. Relton:
PLASMA: Parallel Linear Algebra Software for Multicore Using OpenMP. ACM Trans. Math. Softw. 45(2): 16:1-16:35 (2019) - 2018
- [j18]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: 226-236 (2018) - [j17]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: 237-245 (2018) - [j16]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): 808-865 (2018) - [j15]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): 973-984 (2018) - [j14]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): 2700-2712 (2018) - [c48]Ahmad Abdelfattah, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra:
Optimizing GPU Kernels for Irregular Batch Workloads: A Case Study for Cholesky Factorization. HPEC 2018: 1-7 - [c47]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: 586-600 - [c46]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: 47:1-47:11 - 2017
- [j13]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): 52-62 (2017) - [j12]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: 85-93 (2017) - [c45]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: 1-7 - [c44]Azzam Haidar, Khairul Kabir, Diana Fayad, Stanimire Tomov, Jack J. Dongarra:
Out of memory SVD solver for big data. HPEC 2017: 1-7 - [c43]Ahmad Abdelfattah, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra:
Factorization and Inversion of a Million Matrices using GPUs: Challenges and Countermeasures. ICCS 2017: 606-615 - [c42]Tingxing Dong, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra:
Optimizing the SVD Bidiagonalization Process for a Batch of Small Matrices. ICCS 2017: 1008-1018 - [c41]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: 5:1-5:10 - [c40]Azzam Haidar, Ahmad Abdelfattah, Stanimire Tomov, Jack J. Dongarra:
High-performance Cholesky factorization for GPU-only execution. GPGPU@PPoPP 2017: 42-52 - [c39]Azzam Haidar, Panruo Wu, Stanimire Tomov, Jack J. Dongarra:
Investigating half precision arithmetic to accelerate dense linear system solvers. ScalA@SC 2017: 10:1-10:8 - [c38]Khairul Kabir, Azzam Haidar, Stanimire Tomov, Aurélien Bouteiller, Jack J. Dongarra:
A Framework for Out of Memory SVD Algorithms. ISC 2017: 158-178 - 2016
- [j11]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: 1-160 (2016) - [c37]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: 659-671 - [c36]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: 1-7 - [c35]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: 1-7 - [c34]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: 108-118 - [c33]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: 119-130 - [c32]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: 611-620 - [c31]Ahmad Abdelfattah, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra:
On the Development of Variable Size Batched Computation for Heterogeneous Parallel Architectures. IPDPS Workshops 2016: 1249-1258 - [c30]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: 13-24 - [c29]Ahmad Abdelfattah, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra:
Performance, Design, and Autotuning of Batched GEMM for GPUs. ISC 2016: 21-38 - 2015
- [j10]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: 502593:1-502593:11 (2015) - [j9]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): 67-86 (2015) - [c28]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: 861-864 - [c27]Azzam Haidar, Stanimire Tomov, Piotr Luszczek, Jack J. Dongarra:
MAGMA embedded: Towards a dense linear algebra library for energy efficient extreme computing. HPEC 2015: 1-6 - [c26]Khairul Kabir, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra:
Performance Analysis and Optimisation of Two-sided Factorization Algorithms for Heterogeneous Platform. ICCS 2015: 180-190 - [c25]Gregoire Pichon, Azzam Haidar, Mathieu Faverge, Jakub Kurzak:
Divide and Conquer Symmetric Tridiagonal Eigensolver for Multicore Architectures. IPDPS 2015: 51-60 - [c24]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: 59-69 - [c23]Azzam Haidar, Tingxing Dong, Piotr Luszczek, Stanimire Tomov, Jack J. Dongarra:
Towards batched linear solvers on accelerated hardware platforms. PPoPP 2015: 261-262 - [c22]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: 5:1-5:8 - [c21]Raffaele Solcà, Anton Kozhevnikov, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra, Thomas C. Schulthess:
Efficient implementation of quantum materials simulations on distributed CPU-GPU systems. SC 2015: 10:1-10:12 - [c20]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: 135-142 - [c19]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: 31-47 - [c18]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: 58-73 - 2014
- [j8]Azzam Haidar, Stanimire Tomov, Jack J. Dongarra, Raffaele Solcà, Thomas C. Schulthess:
A novel hybrid CPU-GPU generalized eigensolver for electronic structure calculations based on fine-grained memory aware tasks. Int. J. High Perform. Comput. Appl. 28(2): 196-209 (2014) - [j7]Jack J. Dongarra, Azzam Haidar, Jakub Kurzak, Piotr Luszczek, Stanimire Tomov, Asim YarKhan:
Model-Driven One-Sided Factorizations on Multicore Accelerated Systems. Supercomput. Front. Innov. 1(1): 85-115 (2014) - [c17]Tingxing Dong, Azzam Haidar, Piotr Luszczek, James Austin Harris, Stanimire Tomov, Jack J. Dongarra:
LU Factorization of Small Matrices: Accelerating Batched DGETRF on the GPU. HPCC/CSS/ICESS 2014: 157-160 - [c16]Tingxing Dong, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra:
A Fast Batched Cholesky Factorization on a GPU. ICPP 2014: 432-440 - [c15]Azzam Haidar, Chongxiao Cao, Asim YarKhan, Piotr Luszczek, Stanimire Tomov, Khairul Kabir, Jack J. Dongarra:
Unified Development for Mixed Multi-GPU and Multi-coprocessor Environments Using a Lightweight Runtime Environment. IPDPS 2014: 491-500 - [c14]Azzam Haidar, Piotr Luszczek, Jack J. Dongarra:
New Algorithm for Computing Eigenvectors of the Symmetric Eigenvalue Problem. IPDPS Workshops 2014: 1150-1159 - [c13]Chongxiao Cao, Mark Gates, Azzam Haidar, Piotr Luszczek, Stanimire Tomov, Ichitaro Yamazaki, Jack J. Dongarra:
Performance and portability with OpenCL for throughput-oriented HPC workloads across accelerators, coprocessors, and multicore processors. ScalA@SC 2014: 61-68 - [c12]Azzam Haidar, Piotr Luszczek, Stanimire Tomov, Jack J. Dongarra:
Heterogenous Acceleration for Linear Algebra in Multi-coprocessor Environments. VECPAR 2014: 31-42 - [c11]Mark Gates, Azzam Haidar, Jack J. Dongarra:
Accelerating Computation of Eigenvectors in the Dense Nonsymmetric Eigenvalue Problem. VECPAR 2014: 182-191 - [p1]Jack J. Dongarra, Mark Gates, Azzam Haidar, Jakub Kurzak, Piotr Luszczek, Stanimire Tomov, Ichitaro Yamazaki:
Accelerating Numerical Dense Linear Algebra Calculations with GPUs. Numerical Computations with GPUs 2014: 3-28 - 2013
- [j6]Emmanuel Agullo, Luc Giraud, Abdou Guermouche, Azzam Haidar, Jean Roman:
Parallel algebraic domain decomposition solver for the solution of augmented systems. Adv. Eng. Softw. 60: 23-30 (2013) - [c10]Azzam Haidar, Mark Gates, Stanimire Tomov, Jack J. Dongarra:
Toward a scalable multi-GPU eigensolver via compute-intensive kernels and efficient communication. ICS 2013: 223-232 - [c9]Jack J. Dongarra, Mark Gates, Azzam Haidar, Yulu Jia, Khairul Kabir, Piotr Luszczek, Stanimire Tomov:
Portable HPC Programming on Intel Many-Integrated-Core Hardware with MAGMA Port to Xeon Phi. PPAM (1) 2013: 571-581 - [c8]Azzam Haidar, Jakub Kurzak, Piotr Luszczek:
An improved parallel singular value algorithm and its implementation for multicore hardware. SC 2013: 90:1-90:12 - [c7]Azzam Haidar, Raffaele Solcà, Mark Gates, Stanimire Tomov, Thomas C. Schulthess, Jack J. Dongarra:
Leading Edge Hybrid Multi-GPU Algorithms for Generalized Eigenproblems in Electronic Structure Calculations. ISC 2013: 67-80 - 2012
- [j5]Azzam Haidar, Hatem Ltaief, Jack J. Dongarra:
Toward a High Performance Tile Divide and Conquer Algorithm for the Dense Symmetric Eigenvalue Problem. SIAM J. Sci. Comput. 34(6) (2012) - [c6]Azzam Haidar, Hatem Ltaief, Piotr Luszczek, Jack J. Dongarra:
A Comprehensive Study of Task Coalescing for Selecting Parallelism Granularity in a Two-Stage Bidiagonal Reduction. IPDPS 2012: 25-35 - [c5]Raffaele Solcà, Azzam Haidar, Stanimire Tomov, Thomas C. Schulthess, Jack J. Dongarra:
Abstract: A Novel Hybrid CPU-GPU Generalized Eigensolver for Electronic Structure Calculations Based on Fine Grained Memory Aware Tasks. SC Companion 2012: 1338-1339 - [c4]Raffaele Solcà, Azzam Haidar, Stanimire Tomov, Thomas C. Schulthess, Jack J. Dongarra:
Poster: A Novel Hybrid CPU-GPU Generalized Eigensolver for Electronic Structure Calculations Based on Fine Grained Memory Aware Tasks. SC Companion 2012: 1340 - [i1]Raffaele Solcà, Thomas C. Schulthess, Azzam Haidar, Stanimire Tomov, Ichitaro Yamazaki, Jack J. Dongarra:
A hybrid Hermitian general eigenvalue solver. CoRR abs/1207.1773 (2012) - 2011
- [j4]Azzam Haidar, Hatem Ltaief, Asim YarKhan, Jack J. Dongarra:
Analysis of dynamically scheduled tile algorithms for dense linear algebra on multicore architectures. Concurr. Comput. Pract. Exp. 24(3): 305-321 (2011) - [c3]George Bosilca, Aurélien Bouteiller, Anthony Danalis, Mathieu Faverge, Azzam Haidar, Thomas Hérault, Jakub Kurzak, Julien Langou, Pierre Lemarinier, Hatem Ltaief, Piotr Luszczek, Asim YarKhan, Jack J. Dongarra:
Flexible Development of Dense Linear Algebra Algorithms on Massively Parallel Architectures with DPLASMA. IPDPS Workshops 2011: 1432-1441 - [c2]Hatem Ltaief, Piotr Luszczek, Azzam Haidar, Jack J. Dongarra:
Solving the Generalized Symmetric Eigenvalue Problem using Tile Algorithms on Multicore Architectures. PARCO 2011: 397-404 - [c1]Azzam Haidar, Hatem Ltaief, Jack J. Dongarra:
Parallel reduction to condensed forms for symmetric eigenvalue problems using aggregated fine-grained and memory-aware kernels. SC 2011: 8:1-8:11 - 2010
- [j3]Luc Giraud, Azzam Haidar, S. Pralet:
Using multiple levels of parallelism to enhance the performance of domain decomposition solvers. Parallel Comput. 36(5-6): 285-296 (2010)
2000 – 2009
- 2009
- [j2]Luc Giraud, Azzam Haidar:
Parallel algebraic hybrid solvers for large 3D convection-diffusion problems. Numer. Algorithms 51(2): 151-177 (2009) - 2008
- [b1]Azzam Haidar:
On the parallel scalability of hybrid linear solvers for large 3D problems. (Sur l'extensibilité parallèle de solveurs linéaires hybrides pour des problèmes tridimensionels de grandes tailles). National Polytechnic Institute of Toulouse, France, 2008 - [j1]Luc Giraud, Azzam Haidar, Layne T. Watson:
Parallel scalability study of hybrid preconditioners in three dimensions. Parallel Comput. 34(6-8): 363-379 (2008)
Coauthor Index
aka: Stan Tomov
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