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Jakub Kurzak
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2020 – today
- 2024
- [i6]Ryan Stocks, Jorge L. Galvez Vallejo, Fiona C. Y. Yu, Calum Snowdon, Elise Palethorpe, Jakub Kurzak, Dmytro Bykov, Giuseppe M. J. Barca:
Breaking the Million-Electron and 1 EFLOP/s Barriers: Biomolecular-Scale Ab Initio Molecular Dynamics Using MP2 Potentials. CoRR abs/2410.21888 (2024) - 2023
- [c43]Noel Chalmers
, Jakub Kurzak
Optimizing High-Performance Linpack for Exascale Accelerated Architectures. SC 2023: 49:1-49:12 - [c42]Nicholas Malaya
Experiences readying applications for Exascale. SC 2023: 53:1-53:13 - [i5]Noel Chalmers, Jakub Kurzak, Damon McDougall, Paul T. Bauman:
Optimizing High-Performance Linpack for Exascale Accelerated Architectures. CoRR abs/2304.10397 (2023) - [i4]Paul T. Bauman, Reuben D. Budiardja, Dmytro Bykov, Noel Chalmers, Jacqueline Chen, Nicholas Curtis, Marc Day, Markus Eisenbach, Lucas Esclapez, Alessandro Fanfarillo, William Freitag, Nicholas Frontiere, Antigoni Georgiadou, Joseph Glenski, Kalyana C. Gottiparthi, Marc T. Henry de Frahan, Gustav R. Jansen, Wayne Joubert, Justin G. Lietz, Jakub Kurzak, Nicholas Malaya, Bronson Messer, Damon McDougall, Paul Mullowney, Stephen Nichols, Matthew R. Norman, Thomas Papatheodore, Jon S. Rood, Philip C. Roth, Sarat Sreepathi, James B. White III
Experiences Readying Applications for Exascale. CoRR abs/2310.01586 (2023) - 2022
- [c41]Ramakrishnan Kannan, Piyush Sao
Exaflops Biomedical Knowledge Graph Analytics. SC 2022: 6:1-6:11 - 2021
- [j35]Ahmad Abdelfattah, Timothy B. Costa, Jack J. Dongarra, Mark Gates
A Set of Batched Basic Linear Algebra Subprograms and LAPACK Routines. ACM Trans. Math. Softw. 47(3): 21:1-21:23 (2021)
2010 – 2019
- 2019
- [j34]Jack J. Dongarra, Mark Gates
PLASMA: Parallel Linear Algebra Software for Multicore Using OpenMP. ACM Trans. Math. Softw. 45(2): 16:1-16:35 (2019) - [c40]Jakub Kurzak
Linear Systems Solvers for Distributed-Memory Machines with GPU Accelerators. Euro-Par 2019: 495-506 - [c39]Jakub Kurzak, Yaohung M. Tsai, Mark Gates
Massively Parallel Automated Software Tuning. ICPP 2019: 92:1-92:10 - [c38]Jakub Kurzak, Mark Gates
Least squares solvers for distributed-memory machines with GPU accelerators. ICS 2019: 117-126 - [c37]Mark Gates
SLATE: design of a modern distributed and accelerated linear algebra library. SC 2019: 26:1-26:18 - 2018
- [j33]Joseph Dorris, Asim YarKhan
Task based Cholesky decomposition on Xeon Phi architectures using OpenMP. Int. J. Comput. Sci. Eng. 17(3): 310-323 (2018) - [j32]Jack J. Dongarra
Autotuning Numerical Dense Linear Algebra for Batched Computation With GPU Hardware Accelerators. Proc. IEEE 106(11): 2040-2055 (2018) - [j31]Jack J. Dongarra, Mark Gates
The Singular Value Decomposition: Anatomy of Optimizing an Algorithm for Extreme Scale. SIAM Rev. 60(4): 808-865 (2018) - [j30]Piotr Luszczek, Jakub Kurzak, Ichitaro Yamazaki, David J. Keffer
Autotuning Techniques for Performance-Portable Point Set Registration in 3D. Supercomput. Front. Innov. 5(4): 42-61 (2018) - [j29]Ichitaro Yamazaki
Symmetric Indefinite Linear Solver Using OpenMP Task on Multicore Architectures. IEEE Trans. Parallel Distributed Syst. 29(8): 1879-1892 (2018) - [c36]Osni Marques, Reiji Suda, Jakub Kurzak, Akihiro Fujii:
Introduction to iWAPT 2018. IPDPS Workshops 2018: 1047 - 2017
- [j28]Jack J. Dongarra, Stanimire Tomov
With Extreme Computing, the Rules Have Changed. Comput. Sci. Eng. 19(3): 52-62 (2017) - [j27]Asim YarKhan
Porting the PLASMA Numerical Library to the OpenMP Standard. Int. J. Parallel Program. 45(3): 612-633 (2017) - [j26]Jakub Kurzak, Piotr Luszczek, Ichitaro Yamazaki, Yves Robert
Design and Implementation of the PULSAR Programming System for Large Scale Computing. Supercomput. Front. Innov. 4(1): 4-26 (2017) - [c35]Piotr Luszczek, Jakub Kurzak, Ichitaro Yamazaki, David J. Keffer
Scaling point set registration in 3D across thread counts on multicore and hardware accelerator platforms through autotuning for large scale analysis of scientific point clouds. IEEE BigData 2017: 2893-2902 - [c34]Piotr Luszczek, Jakub Kurzak, Ichitaro Yamazaki, Jack J. Dongarra:
Towards numerical benchmark for half-precision floating point arithmetic. HPEC 2017: 1-5 - [c33]Mark Gates
Autotuning Batch Cholesky Factorization in CUDA with Interleaved Layout of Matrices. IPDPS Workshops 2017: 1408-1417 - [p5]Hartwig Anzt
Bringing High Performance Computing to Big Data Algorithms. Handbook of Big Data Technologies 2017: 777-806 - 2016
- [j25]Ahmad Abdelfattah, Hartwig Anzt
Linear algebra software for large-scale accelerated multicore computing. Acta Numer. 25: 1-160 (2016) - [j24]Jakub Kurzak, Hartwig Anzt
Implementation and Tuning of Batched Cholesky Factorization and Solve for NVIDIA GPUs. IEEE Trans. Parallel Distributed Syst. 27(7): 2036-2048 (2016) - [c32]Piotr Luszczek, Mark Gates
Search Space Generation and Pruning System for Autotuners. IPDPS Workshops 2016: 1545-1554 - [c31]Yaohung M. Tsai, Piotr Luszczek, Jakub Kurzak, Jack J. Dongarra:
Performance-Portable Autotuning of OpenCL Kernels for Convolutional Layers of Deep Neural Networks. MLHPC@SC 2016: 9-18 - [c30]Joseph Dorris, Jakub Kurzak, Piotr Luszczek, Asim YarKhan
Task-Based Cholesky Decomposition on Knights Corner Using OpenMP. ISC Workshops 2016: 544-562 - 2015
- [j23]Simplice Donfack, Jack J. Dongarra, Mathieu Faverge, Mark Gates
A survey of recent developments in parallel implementations of Gaussian elimination. Concurr. Comput. Pract. Exp. 27(5): 1292-1309 (2015) - [j22]Hartwig Anzt
Experiences in autotuning matrix multiplication for energy minimization on GPUs. Concurr. Comput. Pract. Exp. 27(17): 5096-5113 (2015) - [j21]Jack J. Dongarra, Maksims Abalenkovs, Ahmad Abdelfattah, Mark Gates
Parallel Programming Models for Dense Linear Algebra on Heterogeneous Systems. Supercomput. Front. Innov. 2(4): 67-86 (2015) - [c29]Mark Gates
Accelerating collaborative filtering using concepts from high performance computing. IEEE BigData 2015: 667-676 - [c28]Gregoire Pichon
Divide and Conquer Symmetric Tridiagonal Eigensolver for Multicore Architectures. IPDPS 2015: 51-60 - [c27]Blake Haugen, Stephen Richmond, Jakub Kurzak, Chad A. Steed
Visualizing execution traces with task dependencies. VPA@SC 2015: 2:1-2:8 - [c26]Ichitaro Yamazaki, Stanimire Tomov
Mixed-precision block gram Schmidt orthogonalization. ScalA@SC 2015: 2:1-2:8 - [c25]Ichitaro Yamazaki, Jakub Kurzak, Piotr Luszczek, Jack J. Dongarra:
Randomized algorithms to update partial singular value decomposition on a hybrid CPU/GPU cluster. SC 2015: 59:1-59:12 - [c24]Théo Mary
Performance of random sampling for computing low-rank approximations of a dense matrix on GPUs. SC 2015: 60:1-60:11 - 2014
- [j20]Piotr Luszczek, Jakub Kurzak, Jack J. Dongarra:
Looking back at dense linear algebra software. J. Parallel Distributed Comput. 74(7): 2548-2560 (2014) - [j19]Ichitaro Yamazaki, Jakub Kurzak, Piotr Luszczek, Jack J. Dongarra:
Design and Implementation of a Large Scale Tree-Based QR Decomposition Using a 3D Virtual Systolic Array and a Lightweight Runtime. Parallel Process. Lett. 24(4) (2014) - [j18]Jack J. Dongarra, Azzam Haidar, Jakub Kurzak, Piotr Luszczek, Stanimire Tomov
Model-Driven One-Sided Factorizations on Multicore Accelerated Systems. Supercomput. Front. Innov. 1(1): 85-115 (2014) - [c23]Ichitaro Yamazaki, Théo Mary
Access-averse framework for computing low-rank matrix approximations. IEEE BigData 2014: 70-77 - [c22]Blake Haugen, Jakub Kurzak, Asim YarKhan
Parallel Simulation of Superscalar Scheduling. ICPP 2014: 121-130 - [c21]Ichitaro Yamazaki, Jakub Kurzak, Piotr Luszczek, Jack J. Dongarra:
Design and Implementation of a Large Scale Tree-Based QR Decomposition Using a 3D Virtual Systolic Array and a Lightweight Runtime. IPDPS Workshops 2014: 1495-1504 - [c20]Blake Haugen, Jakub Kurzak:
Search Space Pruning Constraints Visualization. VISSOFT 2014: 30-39 - [p4]Jack J. Dongarra, Mark Gates
Accelerating Numerical Dense Linear Algebra Calculations with GPUs. Numerical Computations with GPUs 2014: 3-28 - 2013
- [j17]Jakub Kurzak, Piotr Luszczek, Mathieu Faverge, Jack J. Dongarra:
LU Factorization with Partial Pivoting for a Multicore System with Accelerators. IEEE Trans. Parallel Distributed Syst. 24(8): 1613-1621 (2013) - [c19]Guillaume Aupy, Mathieu Faverge, Yves Robert
Implementing a Systolic Algorithm for QR Factorization on Multicore Clusters with PaRSEC. Euro-Par Workshops 2013: 657-667 - [c18]Jakub Kurzak, Piotr Luszczek, Mark Gates
Virtual Systolic Array for QR Decomposition. IPDPS 2013: 251-260 - [c17]Azzam Haidar, Jakub Kurzak, Piotr Luszczek:
An improved parallel singular value algorithm and its implementation for multicore hardware. SC 2013: 90:1-90:12 - 2012
- [j16]Jakub Kurzak, Stanimire Tomov
Autotuning GEMM Kernels for the Fermi GPU. IEEE Trans. Parallel Distributed Syst. 23(11): 2045-2057 (2012) - [c16]George Bosilca, Aurélien Bouteiller
Scalable Dense Linear Algebra on Heterogeneous Hardware. High Performance Computing Workshop (2) 2012: 65-103 - [c15]Jakub Kurzak, Piotr Luszczek, Mathieu Faverge, Jack J. Dongarra:
Programming the LU Factorization for a Multicore System with Accelerators. VECPAR 2012: 28-35 - [p3]Jack J. Dongarra, Jakub Kurzak, Piotr Luszczek, Stanimire Tomov
Dense Linear Algebra on Accelerated Multicore Hardware. High-Performance Scientific Computing 2012: 123-146 - 2011
- [c14]George Bosilca, Aurélien Bouteiller
Flexible Development of Dense Linear Algebra Algorithms on Massively Parallel Architectures with DPLASMA. IPDPS Workshops 2011: 1432-1441 - 2010
- [j15]Jakub Kurzak, Hatem Ltaief, Jack J. Dongarra, Rosa M. Badia
Scheduling dense linear algebra operations on multicore processors. Concurr. Comput. Pract. Exp. 22(1): 15-44 (2010) - [j14]Hatem Ltaief, Jakub Kurzak, Jack J. Dongarra, Rosa M. Badia
Scheduling two-sided transformations using tile algorithms on multicore architectures. Sci. Program. 18(1): 35-50 (2010) - [j13]Hatem Ltaief, Jakub Kurzak, Jack J. Dongarra:
Parallel Two-Sided Matrix Reduction to Band Bidiagonal Form on Multicore Architectures. IEEE Trans. Parallel Distributed Syst. 21(4): 417-423 (2010) - [c13]Beniamino Di Martino, Fabrizio Petrini, Siegfried Benkner, Kirk W. Cameron
Multicore and Manycore Programming. Euro-Par (2) 2010: 137-138 - [c12]Jakub Kurzak, Rajib Nath, Peng Du, Jack J. Dongarra:
An Implementation of the Tile QR Factorization for a GPU and Multiple CPUs. PARA (2) 2010: 248-257 - [c11]Emmanuel Agullo, Henricus Bouwmeester, Jack J. Dongarra, Jakub Kurzak, Julien Langou, Lee Rosenberg:
Towards an Efficient Tile Matrix Inversion of Symmetric Positive Definite Matrices on Multicore Architectures. VECPAR 2010: 129-138 - [p2]Wesley Alvaro, Jakub Kurzak, Jack J. Dongarra:
Implementing Matrix Multiplication on the Cell B. E. Scientific Computing with Multicore and Accelerators 2010: 3-20 - [p1]Jakub Kurzak, Jack J. Dongarra:
Implementing Matrix Factorizations on the Cell B. E. Scientific Computing with Multicore and Accelerators 2010: 21-35 - [e1]Jakub Kurzak, David A. Bader
Scientific Computing with Multicore and Accelerators. Chapman and Hall / CRC computational science series, CRC Press / Taylor & Francis 2010, ISBN 978-1-4398-2536-5 [contents] - [i3]Emmanuel Agullo, Henricus Bouwmeester, Jack J. Dongarra, Jakub Kurzak, Julien Langou, Lee Rosenberg:
Towards an Efficient Tile Matrix Inversion of Symmetric Positive Definite Matrices on Multicore Architectures. CoRR abs/1002.4057 (2010)
2000 – 2009
- 2009
- [j12]Marc Baboulin, Alfredo Buttari
Accelerating scientific computations with mixed precision algorithms. Comput. Phys. Commun. 180(12): 2526-2533 (2009) - [j11]Alfredo Buttari
A class of parallel tiled linear algebra algorithms for multicore architectures. Parallel Comput. 35(1): 38-53 (2009) - [j10]Jakub Kurzak, Wesley Alvaro, Jack J. Dongarra:
Optimizing matrix multiplication for a short-vector SIMD architecture - CELL processor. Parallel Comput. 35(3): 138-150 (2009) - [j9]Jakub Kurzak, Jack J. Dongarra:
QR factorization for the Cell Broadband Engine. Sci. Program. 17(1-2): 31-42 (2009) - 2008
- [j8]Alfredo Buttari
Parallel tiled QR factorization for multicore architectures. Concurr. Comput. Pract. Exp. 20(13): 1573-1590 (2008) - [j7]Jakub Kurzak, Alfredo Buttari
The PlayStation 3 for High-Performance Scientific Computing. Comput. Sci. Eng. 10(3): 84-87 (2008) - [j6]Jakub Kurzak, Dragan Mirkovic, B. Montgomery Pettitt, S. Lennart Johnsson:
Automatic Generation of FFT for Translations of Multipole Expansions in Spherical Harmonics. Int. J. High Perform. Comput. Appl. 22(2): 219-230 (2008) - [j5]Alfredo Buttari
Using Mixed Precision for Sparse Matrix Computations to Enhance the Performance while Achieving 64-bit Accuracy. ACM Trans. Math. Softw. 34(4): 17:1-17:22 (2008) - [j4]Jakub Kurzak, Alfredo Buttari
Solving Systems of Linear Equations on the CELL Processor Using Cholesky Factorization. IEEE Trans. Parallel Distributed Syst. 19(9): 1175-1186 (2008) - [c10]Jakub Kurzak, Hatem Ltaief, Jack J. Dongarra, Rosa M. Badia
Scheduling for Numerical Linear Algebra Library at Scale. High Performance Computing Workshop 2008: 3-26 - [c9]Wesley Alvaro, Jakub Kurzak, Jack J. Dongarra:
Fast and Small Short Vector SIMD Matrix Multiplication Kernels for the Synergistic Processing Element of the CELL Processor. ICCS (1) 2008: 935-944 - [i2]Marc Baboulin, Alfredo Buttari, Jack J. Dongarra, Jakub Kurzak, Julie Langou, Julien Langou, Piotr Luszczek, Stanimire Tomov:
Accelerating Scientific Computations with Mixed Precision Algorithms. CoRR abs/0808.2794 (2008) - 2007
- [j3]Jakub Kurzak, Jack J. Dongarra:
Implementation of mixed precision in solving systems of linear equations on the Cell processor. Concurr. Comput. Pract. Exp. 19(10): 1371-1385 (2007) - [j2]Alfredo Buttari
Mixed Precision Iterative Refinement Techniques for the Solution of Dense Linear Systems. Int. J. High Perform. Comput. Appl. 21(4): 457-466 (2007) - [c8]Jakub Kurzak, Alfredo Buttari
Introduction to Programming High Performance Applications on the CELL Broadband Engine. Hot Interconnects 2007: 11 - [c7]Alfredo Buttari
Parallel Tiled QR Factorization for Multicore Architectures. PPAM 2007: 639-648 - [r1]Yozo Hida, James Demmel, Julien Langou, Jakub Kurzak, Ming Gu, Alfredo Buttari, Stanimire Tomov, Piotr Luszczek, Julie Langou, Osni Marques, Christof Vömel, Xiaoye S. Li, E. Jason Riedy
Prospectus for a Dense Linear Algebra Software Library. Handbook of Parallel Computing 2007 - [i1]Alfredo Buttari, Julien Langou, Jakub Kurzak, Jack J. Dongarra:
A Class of Parallel Tiled Linear Algebra Algorithms for Multicore Architectures. CoRR abs/0709.1272 (2007) - 2006
- [c6]Alfredo Buttari, Jack J. Dongarra, Jakub Kurzak, Julie Langou, Julien Langou, Piotr Luszczek, Stanimire Tomov:
Exploiting Mixed Precision Floating Point Hardware in Scientific Computations. High Performance Computing Workshop 2006: 19-36 - [c5]Alfredo Buttari
The Impact of Multicore on Math Software. PARA 2006: 1-10 - [c4]James Demmel, Jack J. Dongarra, Beresford N. Parlett, William Kahan, Ming Gu, David Bindel
Prospectus for the Next LAPACK and ScaLAPACK Libraries. PARA 2006: 11-23 - [c3]Jakub Kurzak, Jack J. Dongarra:
Implementing Linear Algebra Routines on Multi-core Processors with Pipelining and a Look Ahead. PARA 2006: 147-156 - [c2]Julie Langou, Julien Langou, Piotr Luszczek, Jakub Kurzak, Alfredo Buttari
Tools and techniques for performance - Exploiting the performance of 32 bit floating point arithmetic in obtaining 64 bit accuracy (revisiting iterative refinement for linear systems). SC 2006: 113 - [c1]Alfredo Buttari
Poster reception - Targeting multi-core architectures for linear algebra applications. SC 2006: 162 - 2005
- [j1]Jakub Kurzak, B. Montgomery Pettitt:
Massively parallel implementation of a fast multipole method for distributed memory machines. J. Parallel Distributed Comput. 65(7): 870-881 (2005)
Coauthor Index
[j35] [j34] [c40] [c39] [c38] [c37] [j33] [j32] [j31] [j30] [j29] [j28] [j27] [j26] [c35] [c34] [c33] [p5] [j25] [j24] [c32] [c31] [c30] [j23] [j22] [j21] [c29] [c27] [c26] [c25] [c24] [j20] [j19] [j18] [c23] [c22] [c21] [p4] [j17] [c19] [c18] [j16] [c16] [c15] [p3] [c14] [j15] [j14] [j13] [c12] [c11] [p2] [p1] [e1] [i3] [j12] [j11] [j10] [j9] [j8] [j7] [j5] [j4] [c10] [c9] [i2] [j3] [j2] [c7] [r1] [i1] [c6] [c5] [c4] [c3] [c2] [c1]
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last updated on 2024-12-01 01:08 CET by the dblp team
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