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Sivasankaran Rajamanickam

Pacific Northwest National Laboratory

26H指数
295论文数
3.5K被引数
收录论文 21
发表时间
Materials Learning Algorithms (MALA): Scalable machine learning for electronic structure calculations in large-scale atomistic simulationsMaterials Learning Algorithms (MALA): 可扩展机器学习方法,用于大规模原子模拟中的电子结构计算
err2025-06-06
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errOAAI
errCangi, Attila; Fiedler, Lenz; Brzoza, Bartosz; Shah, Karan; Callow, Timothy J.; Kotik, Daniel; Schmerler, Steve; Barry, Matthew C.; Goff, James M.; Rohskopf, Andrew; Vogel, Dayton J.; Modine, Normand; Thompson, Aidan P.; Rajamanickam, Sivasankaran
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Breaking the mold: Overcoming the time constraints of molecular dynamics on general-purpose hardware
err2025-02-19
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errPerez, Danny; Thompson, Aidan; Moore, Stan; Oppelstrup, Tomas; Sharapov, Ilya; Santos, Kylee; Sharifian, Amirali; Kalchev, Delyan Z.; Schreiber, Robert; Pakin, Scott; Leon, Edgar A.; Laros III, James H.; James, Michael; Rajamanickam, Sivasankaran
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Predicting electronic structures at any length scale with machine learning
err2023-06-27
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errOAAI
errFiedler, Lenz; Modine, Normand A. A.; Schmerler, Steve; Vogel, Dayton J. J.; Popoola, Gabriel A. A.; Thompson, Aidan P. P.; Rajamanickam, Sivasankaran; Cangi, Attila
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Performance Portable Batched Sparse Linear Solvers
err2023-05-01
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errOAAI
errLiegeois, Kim; Rajamanickam, Sivasankaran; Berger-Vergiat, Luc
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Training-free hyperparameter optimization of neural networks for electronic structures in matter用于物质中电子结构的神经网络的无训练超参数优化
err2022-10-28
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errFiedler, Lenz; Hoffmann, Nils; Mohammed, Parvez; Popoola, Gabriel A.; Yovell, Tamar; Oles, Vladyslav; Ellis, J. Austin; Rajamanickam, Sivasankaran; Cangi, Attila
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Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication使用平铺矩阵-矩阵乘法评估空间加速器体系结构
err2022-04-01
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errMoon, Gordon Euhyun; Kwon, Hyoukjun; Jeong, Geonhwa; Chatarasi, Prasanth; Rajamanickam, Sivasankaran; Krishna, Tushar
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Kokkos 3: Programming Model Extensions for the Exascale Era
err2022-04-01
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errOAAI
errTrott, Christian R.; Lebrun-Grandie, Damien; Arndt, Daniel; Ciesko, Jan; Dang, Vinh; Ellingwood, Nathan; Gayatri, Rahulkumar; Harvey, Evan; Hollman, Daisy S.; Ibanez, Dan; Liber, Nevin; Madsen, Jonathan; Miles, Jeff; Poliakoff, David; Powell, Amy; Rajamanickam, Sivasankaran; Simberg, Mikael; Sunderland, Dan; Turcksin, Bruno; Wilke, Jeremiah
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FROSch PRECONDITIONERS FOR LAND ICE SIMULATIONS OF GREENLAND AND ANTARCTICA
err2022-03-24
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errHeinlein, Alexander; Perego, Mauro; Rajamanickam, Sivasankaran
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A Block-Based Triangle Counting Algorithm on Heterogeneous Environments
err2022-02-01
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errYasar, Abdurrahman; Rajamanickam, Sivasankaran; Berry, Jonathan W.; Catalyurek, Umit V.
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EXAGRAPH: Graph and combinatorial methods for enabling exascale applications
err2021-09-30
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errAcer, Seher; Azad, Ariful; Boman, Erik G.; Buluc, Aydin; Devine, Karen D.; Ferdous, S. M.; Gawande, Nitin; Ghosh, Sayan; Halappanavar, Mahantesh; Kalyanaraman, Ananth; Khan, Arif; Minutoli, Marco; Pothen, Alex; Rajamanickam, Sivasankaran; Selvitopi, Oguz; Tallent, Nathan R.; Tumeo, Antonino
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Co-design Center for Exascale Machine Learning Technologies (ExaLearn)
err2021-09-27
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errAlexander, Francis J.; Ang, James; Bilbrey, Jenna A.; Balewski, Jan; Casey, Tiernan; Chard, Ryan; Choi, Jong; Choudhury, Sutanay; Debusschere, Bert; DeGennaro, Anthony M.; Dryden, Nikoli; Ellis, J. Austin; Foster, Ian; Cardona, Cristina Garcia; Ghosh, Sayan; Harrington, Peter; Huang, Yunzhi; Jha, Shantenu; Johnston, Travis; Kagawa, Ai; Kannan, Ramakrishnan; Kumar, Neeraj; Liu, Zhengchun; Maruyama, Naoya; Matsuoka, Satoshi; McCarthy, Erin; Mohd-Yusof, Jamaludin; Nugent, Peter; Oyama, Yosuke; Proffen, Thomas; Pugmire, David; Rajamanickam, Sivasankaran; Ramakrishniah, Vinay; Schram, Malachi; Seal, Sudip K.; Sivaraman, Ganesh; Sweeney, Christine; Tan, Li; Thakur, Rajeev; Van Essen, Brian; Ward, Logan; Welch, Paul; Wolf, Michael; Xantheas, Sotiris S.; Yager, Kevin G.; Yoo, Shinjae; Yoon, Byung-Jun
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Accelerating finite-temperature Kohn-Sham density functional theory with deep neural networks
err2021-07-08
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errEllis, J. A.; Fiedler, L.; Popoola, G. A.; Modine, N. A.; Stephens, J. A.; Thompson, A. P.; Cangi, A.; Rajamanickam, S.
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SCALABLE ASYNCHRONOUS DOMAIN DECOMPOSITION SOLVERS可扩展的异步域分解求解器
err2020-12-14
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PREAI
errGlusa, Christian; Boman, Erik G.; Chow, Edmond; Rajamanickam, Sivasankaran; Szyld, Daniel B.
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Scalable, Multi-Constraint, Complex-Objective Graph Partitioning
err2020-12-01
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errSlota, George M.; Root, Cameron; Devine, Karen; Madduri, Kamesh; Rajamanickam, Sivasankaran
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Preparing sparse solvers for exascale computing
err2020-01-20
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errAnzt, Hartwig; Boman, Erik; Falgout, Rob; Ghysels, Pieter; Heroux, Michael; Li, Xiaoye; McInnes, Lois Curfman; Mills, Richard Tran; Rajamanickam, Sivasankaran; Rupp, Karl; Smith, Barry; Yamazaki, Ichitaro; Yang, Ulrike Meier
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A robust hierarchical solver for ill-conditioned systems with applications to ice sheet modeling
err2019-11-01
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errChen, Chao; Cambier, Leopold; Boman, Erik G.; Rajamanickam, Sivasankaran; Tuminaro, Raymond S.; Darve, Eric
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Geometric Mapping of Tasks to Processors on Parallel Computers with Mesh or Torus Networks
err2019-09-01
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errDeveci, Mehmet; Devine, Karen D.; Pedretti, Kevin; Taylor, Mark A.; Rajamanickam, Sivasankaran; Catalyurek, Umit V.
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A survey of direct methods for sparse linear systems
err2016-05-23
err152
PREAI
errDavis, Timothy A.; Rajamanickam, Sivasankaran; Sid-Lakhdar, Wissam M.
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Multi-Jagged: A Scalable Parallel Spatial Partitioning Algorithm
err2016-03-01
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errDeveci, Mehmet; Rajamanickam, Sivasankaran; Devine, Karen D.; Catalyurek, Umit V.
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