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Hasan Metin Aktulga
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2020 – today
- 2024
- [j23]Shihab Shahriar Khan, Bryce Palmer, Christopher Edelmaier, Hasan Metin Aktulga
:
OpenRAND: A performance portable, reproducible random number generation library for parallel computations. SoftwareX 27: 101773 (2024) - [i8]Doga Dikbayir, Abdel Alsnayyan, Vishnu Naresh Boddeti, Balasubramaniam Shanker, Hasan Metin Aktulga
A Deep Learning Framework for Three Dimensional Shape Reconstruction from Phaseless Acoustic Scattering Far-field Data. CoRR abs/2407.09525 (2024) - 2023
- [j22]Abdullah Alperen, Hasan Metin Aktulga
Hybrid eigensolvers for nuclear configuration interaction calculations. Comput. Phys. Commun. 292: 108888 (2023) - [j21]Madushanka Manathunga
Quantum Mechanics/Molecular Mechanics Simulations on NVIDIA and AMD Graphics Processing Units. J. Chem. Inf. Model. 63(3): 711-717 (2023) - [j20]David A. Case
AmberTools. J. Chem. Inf. Model. 63(20): 6183-6191 (2023) - [c21]Mehmet Cagri Kaymak, Samuel S. Schoenholz, Ekin D. Cubuk, Kurt A. O'Hearn, Kenneth M. Merz Jr., Hasan Metin Aktulga
End-to-End Differentiable Reactive Molecular Dynamics Simulations Using JAX. ISC 2023: 202-219 - [i7]Abdullah Alperen, Hasan Metin Aktulga, Pieter Maris, Chao Yang:
Hybrid Eigensolvers for Nuclear Configuration Interaction Calculations. CoRR abs/2305.15552 (2023) - [i6]Shihab Shahriar Khan, Bryce Palmer, Christopher Edelmaier, Hasan Metin Aktulga:
OpenRAND: A Performance Portable, Reproducible Random Number Generation Library for Parallel Computations. CoRR abs/2310.19925 (2023) - 2022
- [j19]Aidan P. Thompson
LAMMPS - a flexible simulation tool for particle-based materials modeling at the atomic, meso, and continuum scales. Comput. Phys. Commun. 271: 108171 (2022) - [j18]Michael P. Lingg
High Performance Evaluation of Helmholtz Potentials Using the Multi-Level Fast Multipole Algorithm. IEEE Trans. Parallel Distributed Syst. 33(12): 3651-3666 (2022) - [c20]Fazlay Rabbi, Christopher S. Daley, Ümit V. Çatalyürek, Hasan Metin Aktulga
A Portable Sparse Solver Framework for Large Matrices on Heterogeneous Architectures. HIPC 2022: 145-155 - 2021
- [c19]Abdullah Alperen, Md. Afibuzzaman, Fazlay Rabbi, M. Yusuf Özkaya, Ümit V. Çatalyürek, Hasan Metin Aktulga
An Evaluation of Task-Parallel Frameworks for Sparse Solvers on Multicore and Manycore CPU Architectures. ICPP 2021: 30:1-30:11 - [c18]Doga Dikbayir, Balasubramaniam Shanker, Hasan Metin Aktulga
Optimizing Data Locality and Termination Criterion for t-SNE. IJCNN 2021: 1-10 - 2020
- [j17]Nicolas Michel
Toward scalable many-body calculations for nuclear open quantum systems using the Gamow Shell Model. Comput. Phys. Commun. 247 (2020) - [j16]Stephen M. Hughey
Fast and scalable evaluation of pairwise potentials. Comput. Phys. Commun. 255: 107248 (2020) - [j15]Kurt A. O'Hearn, Abdullah Alperen, Hasan Metin Aktulga
Fast Solvers for Charge Distribution Models on Shared Memory Platforms. SIAM J. Sci. Comput. 42(1): C1-C22 (2020) - [c17]Michael P. Lingg, Stephen M. Hughey, Doga Dikbayir, Balasubramaniam Shanker, Hasan Metin Aktulga
Exploring Task Parallelism for the Multilevel Fast Multipole Algorithm. HiPC 2020: 41-50 - [c16]Md. Afibuzzaman, Pieter Maris, Taylor L. Groves, Dossay Oryspayev, Brandon Cook, Chao Yang, Hasan Metin Aktulga
Evaluation of the Communication Motif for a Distributed Eigensolver using the SST Network Simulation Tool. PMBS@SC 2020: 138-148 - [i5]Michael P. Lingg, Stephen M. Hughey, Hasan Metin Aktulga, Balasubramaniam Shanker:
High Performance Evaluation of Helmholtz Potentials usingthe Multi-Level Fast Multipole Algorithm. CoRR abs/2006.15367 (2020)
2010 – 2019
- 2019
- [j14]Hasan Metin Aktulga
Optimizing the performance of reactive molecular dynamics simulations for many-core architectures. Int. J. High Perform. Comput. Appl. 33(2) (2019) - [c15]Md. Afibuzzaman, Fazlay Rabbi, M. Yusuf Özkaya, Hasan Metin Aktulga
DeepSparse: A Task-Parallel Framework for SparseSolvers on Deep Memory Architectures. HiPC 2019: 373-382 - [c14]Mehmet Cagri Kaymak, Hasan Metin Aktulga
Data Analysis for Atomic Shapes in Nuclear Science. ICCS (2) 2019: 219-233 - [c13]Kurt A. O'Hearn, Abdullah Alperen, Hasan Metin Aktulga
Performance optimization of reactive molecular dynamics simulations with dynamic charge distribution models on distributed memory platforms. ICS 2019: 150-159 - [c12]Fazlay Rabbi, Christopher S. Daley
Evaluation of Directive-Based GPU Programming Models on a Block Eigensolver with Consideration of Large Sparse Matrices. WACCPD@SC 2019: 66-88 - 2018
- [j13]Meiyue Shao
Accelerating nuclear configuration interaction calculations through a preconditioned block iterative eigensolver. Comput. Phys. Commun. 222: 1-13 (2018) - [j12]Md. Afibuzzaman
Scalable nuclear density functional theory with Sky3D. Comput. Phys. Commun. 223: 34-44 (2018) - [c11]Michael P. Lingg, Stephen M. Hughey
Optimization of the Spherical Harmonics Transform based Tree Traversals in the Helmholtz FMM Algorithm. ICPP 2018: 91:1-91:11 - 2017
- [j11]Sudhir B. Kylasa, Hasan Metin Aktulga
Reactive Molecular Dynamics on Massively Parallel Heterogeneous Architectures. IEEE Trans. Parallel Distributed Syst. 28(1): 202-214 (2017) - [j10]Hasan Metin Aktulga
A High Performance Block Eigensolver for Nuclear Configuration Interaction Calculations. IEEE Trans. Parallel Distributed Syst. 28(6): 1550-1563 (2017) - [i4]Hasan Metin Aktulga, Christopher Knight, Paul K. Coffman, Kurt A. O'Hearn, Tzu-Ray Shan, Wei Jiang:
Optimizing the Performance of Reactive Molecular Dynamics Simulations for Multi-Core Architectures. CoRR abs/1706.07772 (2017) - 2016
- [c10]Suleyman Salin, Murat Manguoglu, Hasan Metin Aktulga:
Learning the Domain of Sparse Matrices. ICMLA 2016: 800-805 - [c9]Kurt A. O'Hearn, Hasan Metin Aktulga
Towards Fast Scalable Solvers for Charge Equilibration in Molecular Dynamics Applications. ScalA@SC 2016: 9-16 - [i3]Meiyue Shao
Accelerating Nuclear Configuration Interaction Calculations through a Preconditioned Block Iterative Eigensolver. CoRR abs/1609.01689 (2016) - 2015
- [j9]Dossay Oryspayev, Hasan Metin Aktulga
Performance analysis of distributed symmetric sparse matrix vector multiplication algorithm for multi-core architectures. Concurr. Comput. Pract. Exp. 27(17): 5019-5036 (2015) - [j8]Mark Dittner
Efficient global optimization of reactive force-field parameters. J. Comput. Chem. 36(20): 1550-1561 (2015) - [r2]Erik Saule, Hasan Metin Aktulga
An Out-of-Core Task-based Middleware for Data-Intensive Scientific Computing. Handbook on Data Centers 2015: 647-667 - 2014
- [j7]Hasan Metin Aktulga
Improving the scalability of a symmetric iterative eigensolver for multi-core platforms. Concurr. Comput. Pract. Exp. 26(16): 2631-2651 (2014) - [j6]Sudhir B. Kylasa, Hasan Metin Aktulga
PuReMD-GPU: A reactive molecular dynamics simulation package for GPUs. J. Comput. Phys. 272: 343-359 (2014) - [j5]Hasan Metin Aktulga
Parallel eigenvalue calculation based on multiple shift-invert Lanczos and contour integral based spectral projection method. Parallel Comput. 40(7): 195-212 (2014) - [j4]Myoungsoo Jung, Ellis Herbert Wilson III, Wonil Choi, John Shalf
Exploring the future of out-of-core computing with compute-local non-volatile memory. Sci. Program. 22(2): 125-139 (2014) - [c8]Hasan Metin Aktulga
Optimizing Sparse Matrix-Multiple Vectors Multiplication for Nuclear Configuration Interaction Calculations. IPDPS 2014: 1213-1222 - 2013
- [c7]Myoungsoo Jung, Ellis Herbert Wilson, Wonil Choi, John Shalf
Exploring the future of out-of-core computing with compute-local non-volatile memory. SC 2013: 75:1-75:11 - 2012
- [j3]Hasan Metin Aktulga
Parallel reactive molecular dynamics: Numerical methods and algorithmic techniques. Parallel Comput. 38(4-5): 245-259 (2012) - [j2]Hasan Metin Aktulga
Reactive Molecular Dynamics: Numerical Methods and Algorithmic Techniques. SIAM J. Sci. Comput. 34(1) (2012) - [c6]Zheng Zhou, Erik Saule, Hasan Metin Aktulga
An Out-of-Core Eigensolver on SSD-equipped Clusters. CLUSTER 2012: 248-256 - [c5]Hasan Metin Aktulga
Topology-Aware Mappings for Large-Scale Eigenvalue Problems. Euro-Par 2012: 830-842 - [c4]Zheng Zhou, Erik Saule, Hasan Metin Aktulga
An Out-of-Core Dataflow Middleware to Reduce the Cost of Large Scale Iterative Solvers. ICPP Workshops 2012: 71-80 - 2011
- [c3]Hasan Metin Aktulga
On Reducing I/O Overheads in Large-Scale Invariant Subspace Projections. Euro-Par Workshops (1) 2011: 305-314 - [c2]Hasan Metin Aktulga
Large-scale parallel null space calculation for nuclear configuration interaction. HPCS 2011: 176-185 - [r1]Ananth Grama, Joseph C. Fogarty, Hasan Metin Aktulga, Sagar Pandit:
N-Body Computational Methods. Encyclopedia of Parallel Computing 2011: 1259-1268 - [i2]Esmond G. Ng, Jason Sarich, Stefan M. Wild, Todd S. Munson, Hasan Metin Aktulga, Chao Yang, Pieter Maris, James P. Vary, Nicolas Schunck, M. G. Bertolli, Markus Kortelainen, Witold Nazarewicz, Thomas Papenbrock, M. V. Stoitsov:
Advancing Nuclear Physics Through TOPS Solvers and Tools. CoRR abs/1110.1708 (2011) - 2010
- [b1]Hasan Metin Aktulga:
Algorithmic and numerical techniques for atomistic modeling. Purdue University, USA, 2010
2000 – 2009
- 2007
- [j1]Hasan Metin Aktulga
Identifying Statistical Dependence in Genomic Sequences via Mutual Information Estimates. EURASIP J. Bioinform. Syst. Biol. 2007 (2007) - [c1]Hasan Metin Aktulga
Statistical Dependence in Biological Sequences. ISIT 2007: 2676-2680 - [i1]Hasan Metin Aktulga, Ioannis Kontoyiannis, Leszek Alex Lyznik, Lukasz Szpankowski, Ananth Grama, Wojciech Szpankowski:
Identifying statistical dependence in genomic sequences via mutual information estimates. CoRR abs/0710.5190 (2007)
Coauthor Index
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