Publications

Ichitaro Yamazaki, Alexander Heinlein, Sivasankaran Rajamanickam (2023). An Experimental Study of Two-level Schwarz Domain-Decomposition Preconditioners on GPUs. 2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS).

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Michael Eydenberg, Mark Plagge, Sivasankaran Rajamanickam (2023). A Comparison of Spectral and Spatial Graph Convolutional Neural Network Kernels Using GraphSAGE-Sparse. 2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).

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Kim Liegeois, Sivasankaran Rajamanickam, Luc Berger-Vergiat (2023). Performance Portable Batched Sparse Linear Solvers. IEEE Transactions on Parallel and Distributed Systems.

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Ichitaro Yamazaki, Christian Glusa, Jennifer Loe, Piotr Luszczek, Sivasankaran Rajamanickam, Jack Dongarra (2022). High-Performance GMRES Multi-Precision Benchmark: Design, Performance, and Challenges. 2022 IEEE/ACM International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS).

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Lenz Fiedler, Nils Hoffmann, Parvez Mohammed, Gabriel A. Popoola, Tamar Yovell, Vladyslav Oles, J. Austin Ellis, Sivasankaran Rajamanickam, Attila Cangi (2022). Training-free hyperparameter optimization of neural networks for electronic structures in matter. Machine Learning: Science and Technology.

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Raveesh Garg, Eric Qin, Francisco Munoz-Martinez, Robert Guirado, Akshay Jain, Sergi Abadal, Jose Abellan, Manuel Acacio, Eduard Alarcon, Sivasankaran Rajamanickam, Tushar Krishna (2022). Understanding the design-space of sparse/dense multiphase GNN dataflows on spatial accelerators. 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS).

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Brian Kelley, Sivasankaran Rajamanickam (2022). Parallel, Portable Algorithms for Distance-2 Maximal Independent Set and Graph Coarsening. 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS).

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James Fox, Bo Zhao, Beatriz Gonzalez del Rio, Sivasankaran Rajamanickam, Rampi Ramprasad, Le Song (2022). Concentric Spherical Neural Network for 3D Representation Learning. 2022 International Joint Conference on Neural Networks (IJCNN), 2022.

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Ian Bogle, George M Slota, Erik G Boman, Karen Devine, Sivasankaran Rajamanickam (2022). Parallel graph coloring algorithms for distributed GPU environments. Parallel Computing.

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Alexander Heinlein, Mauro Perego, Sivasankaran Rajamanickam (2022). FROSch Preconditioners for Land Ice Simulations of Greenland and Antarctica. SIAM Journal on Scientific Computing.

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Eric Qin, Raveesh Garg, Abhimanyu Bambhaniya, Michael Pellauer, Angshuman Parashar, Sivasankaran Rajamanickam, Cong Hao, Tushar Krishna (2022). Enabling Flexibility for Sparse Tensor Acceleration via Heterogeneity. arXiv preprint arXiv:2201.08916.

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Gordon Moon, Hyoukjun Kwon, Geonhwa Jeong, Prashanth Chatarasi, Sivasankaran Rajamanickam, Tushar Krishna (2022). Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication. IEEE Transactions on Parallel and Distributed Systems.

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Jennifer A Loe, Christian A Glusa, Ichitaro Yamazaki, Erik G Boman, Sivasankaran Rajamanickam (2021). Experimental evaluation of multiprecision strategies for GMRES on GPUs. 2021 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).

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Eric Qin, Geonhwa Jeong, William Won, Sheng-Chun Kao, Hyoukjun Kwon, Sudarshan Srinivasan, Dipankar Das, Gordon E Moon, Sivasankaran Rajamanickam, Tushar Krishna (2021). Extending Sparse Tensor Accelerators to Support Multiple Compression Formats. 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS).

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Geonhwa Jeong, Gokcen Kestor, Prasanth Chatarasi, Angshuman Parashar, Po-An Tsai, Sivasankaran Rajamanickam, Roberto Gioiosa, Tushar Krishna (2021). Union: A unified HW-SW Co-Design ecosystem in MLIR for evaluating tensor operations on spatial accelerators. 2021 30th International Conference on Parallel Architectures and Compilation Techniques (PACT).

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Christian R Trott, Luc Berger-Vergiat, David Poliakoff, Sivasankaran Rajamanickam, Damien Lebrun-Grandie, Jonathan Madsen, Nader Al Awar, Milos Gligoric, Galen Shipman, Geoff Womeldorff (2021). The Kokkos EcoSystem: Comprehensive Performance Portability For High Performance Computing. Computing in Science and Engineering.

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Seher Acer, Erik G Boman, Christian A Glusa, Sivasankaran Rajamanickam (2021). Sphynx: A parallel multi-GPU graph partitioner for distributed-memory systems. Parallel Computing.

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Michael S Gilbert, Seher Acer, Erik G Boman, Kamesh Madduri, Sivasankaran Rajamanickam (2021). Performance-portable graph coarsening for efficient multilevel graph analysis. 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS).

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Sivasankaran Rajamanickam, Seher Acer, Luc Berger-Vergiat, Vinh Dang, Nathan Ellingwood, Evan Harvey, Brian Kelley, Christian R Trott, Jeremiah Wilke, Ichitaro Yamazaki (2021). Kokkos Kernels: Performance Portable Sparse/Dense Linear Algebra and Graph Kernels. arXiv preprint arXiv:2103.11991.

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Christian R Trott, Damien Lebrun-Grandie, Daniel Arndt, Jan Ciesko, Vinh Dang, Nathan Ellingwood, Rahulkumar Gayatri, Evan Harvey, Daisy S Hollman, Dan Ibanez, others (2021). Kokkos 3: Programming model extensions for the exascale era. IEEE Transactions on Parallel and Distributed Systems.

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Alexander Heinlein, Mauro Perego, Sivasankaran Rajamanickam (2021). FROSch Preconditioners for Land Ice Simulations of Greenland and Antarctica. Universität zu Köln.

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Eric Qin, Geonhwa Jeong, William Won, Sheng-Chun Kao, Hyoukjun Kwon, Sudarshan Srinivasan, Dipankar Das, Gordon E Moon, Sivasankaran Rajamanickam, Tushar Krishna (2021). Extending Sparse Tensor Accelerators to Support Multiple Compression Formats. arXiv preprint arXiv:2103.10452.

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Jennifer A Loe, Christian A Glusa, Ichitaro Yamazaki, Erik G Boman, Sivasankaran Rajamanickam (2021). Experimental Evaluation of Multiprecision Strategies for GMRES on GPUs. arXiv preprint arXiv:2105.07544.

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Seher Acer, Ariful Azad, Erik G Boman, Aydın Buluç, Karen D Devine, SM Ferdous, Nitin Gawande, Sayan Ghosh, Mahantesh Halappanavar, Ananth Kalyanaraman, others (2021). EXAGRAPH: Graph and combinatorial methods for enabling exascale applications. The International Journal of High Performance Computing Applications.

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James Fox, Bo Zhao, Sivasankaran Rajamanickam, Rampi Ramprasad, Le Song (2021). Concentric Spherical GNN for 3D Representation Learning. arXiv preprint arXiv:2103.10484.

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Francis J Alexander, James Ang, Jenna A Bilbrey, Jan Balewski, Tiernan Casey, Ryan Chard, Jong Choi, Sutanay Choudhury, Bert Debusschere, Anthony M DeGennaro, others (2021). Co-design center for exascale machine learning technologies (ExaLearn). The International Journal of High Performance Computing Applications.

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J Austin Ellis, Lenz Fiedler, Gabriel A Popoola, Normand A Modine, J Adam Stephens, Aidan P Thompson, Attila Cangi, Sivasankaran Rajamanickam (2021). Accelerating finite-temperature Kohn-Sham density functional theory with deep neural networks. Physical Review B.

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Ahmad Abdelfattah, Hartwig Anzt, Erik G Boman, Erin Carson, Terry Cojean, Jack Dongarra, Alyson Fox, Mark Gates, Nicholas J Higham, Xiaoye Li, others (2021). A survey of numerical methods utilizing mixed precision arithmetic. The International Journal of High Performance Computing Applications.

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Jennifer A Loe, Christian A Glusa, Ichitaro Yamazaki, Erik G Boman, Sivasankaran Rajamanickam (2021). A Study of Mixed Precision Strategies for GMRES on GPUs. arXiv preprint arXiv:2109.01232.

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Abdurrahman Yaşar, Sivasankaran Rajamanickam, Jonathan W Berry, Ümit V Catalyürek (2021). A Block-Based Triangle Counting Algorithm on Heterogeneous Environments. IEEE Transactions on Parallel and Distributed Systems.

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Seher Acer, Erik G Boman, Sivasankaran Rajamanickam (2020). SPHYNX: Spectral Partitioning for HYbrid aNd aXelerator-enabled systems. 2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).

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George M Slota, Cameron Root, Karen Devine, Kamesh Madduri, Sivasankaran Rajamanickam (2020). Scalable, multi-constraint, complex-objective graph partitioning. IEEE Transactions on Parallel and Distributed Systems.

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Christian Glusa, Erik G Boman, Edmond Chow, Sivasankaran Rajamanickam, Daniel B Szyld (2020). Scalable asynchronous domain decomposition solvers. SIAM Journal on Scientific Computing.

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Hartwig Anzt, Erik Boman, Rob Falgout, Pieter Ghysels, Michael Heroux, Xiaoye Li, Lois Curfman McInnes, Richard Tran Mills, Sivasankaran Rajamanickam, Karl Rupp, others (2020). Preparing sparse solvers for exascale computing. Philosophical Transactions of the Royal Society A.

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Ichitaro Yamazaki, Sivasankaran Rajamanickam, Nathan Ellingwood (2020). Performance portable supernode-based sparse triangular solver for manycore architectures. 49th International Conference on Parallel Processing-ICPP.

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Ian Bogle, Erik G Boman, Karen Devine, Sivasankaran Rajamanickam, George M Slota (2020). Distributed Memory Graph Coloring Algorithms for Multiple GPUs. 2020 IEEE/ACM 10th Workshop on Irregular Applications: Architectures and Algorithms (IA3).

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Léopold Cambier, Chao Chen, Erik G Boman, Sivasankaran Rajamanickam, Raymond S Tuminaro, Eric Darve (2020). An algebraic sparsified nested dissection algorithm using low-rank approximations. SIAM Journal on Matrix Analysis and Applications.

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Vinh Q Dang, Joseph D Kotulski, Sivasankaran Rajamanickam (2020). ADELUS: A Performance-Portable Dense LU Solver for Distributed-Memory Hardware-Accelerated Systems.. WACCPD@ SC.

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Ahmad Abdelfattah, Hartwig Anzt, Erik G Boman, Erin Carson, Terry Cojean, Jack Dongarra, Mark Gates, Thomas Grützmacher, Nicholas J Higham, Sherry Li, others (2020). A survey of numerical methods utilizing mixed precision arithmetic. arXiv preprint arXiv:2007.06674.

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Luca Bertagna, Oksana Guba, Mark A Taylor, James G Foucar, Jeff Larkin, Andrew M Bradley, Sivasankaran Rajamanickam, Andrew G Salinger (2020). A Performance-Portable Nonhydrostatic Atmospheric Dycore for the Energy Exascale Earth System Model Running at Cloud-Resolving Resolutions.. SC20: International Conference for High Performance Computing, Networking, Storage and Analysis.

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Seher Acer, Abdurrahman Yaşar, Sivasankaran Rajamanickam, Michael Wolf, Ümit V Catalyürek (2019). Scalable triangle counting on distributed-memory systems. 2019 IEEE High Performance Extreme Computing Conference (HPEC).

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J Austin Ellis, Sivasankaran Rajamanickam (2019). Scalable inference for sparse deep neural networks using Kokkos kernels. 2019 IEEE High Performance Extreme Computing Conference (HPEC).

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George M Slota, Jonathan W Berry, Simon D Hammond, Stephen L Olivier, Cynthia A Phillips, Sivasankaran Rajamanickam (2019). Scalable generation of graphs for benchmarking HPC community-detection algorithms. Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis.

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Abdurrahman Yaşar, Sivasankaran Rajamanickam, Jonathan Berry, Michael Wolf, Jeffrey S Young, Ümit V Catalyürek (2019). Linear algebra-based triangle counting via fine-grained tasking on heterogeneous environments:(Update on static graph challenge). 2019 IEEE High Performance Extreme Computing Conference (HPEC).

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Mehmet Deveci, Karen D Devine, Kevin Pedretti, Mark A Taylor, Sivasankaran Rajamanickam, Ümit V Catalyürek (2019). Geometric Mapping of Tasks to Processors on Parallel Computers with Mesh or Torus Networks. IEEE Transactions on Parallel and Distributed Systems.

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Chao Chen, Léopold Cambier, Erik G Boman, Sivasankaran Rajamanickam, Raymond S Tuminaro, Eric Darve (2019). A robust hierarchical solver for ill-conditioned systems with applications to ice sheet modeling. Journal of Computational Physics.

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Damodar Sahasrabudhe, Eric T Phipps, Sivasankaran Rajamanickam, Martin Berzins (2019). A Portable SIMD Primitive Using Kokkos for Heterogeneous Architectures. International Workshop on Accelerator Programming Using Directives.

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Ian Bogle, Karen Devine, Mauro Perego, Sivasankaran Rajamanickam, George M Slota (2019). A Parallel Graph Algorithm for Detecting Mesh Singularities in Distributed Memory Ice Sheet Simulations. Proceedings of the 48th International Conference on Parallel Processing.

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Kyungjoo Kim, H Carter Edwards, Sivasankaran Rajamanickam (2018). Tacho: memory-scalable task parallel sparse Cholesky factorization. 2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).

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Mehmet Deveci, Christian Trott, Sivasankaran Rajamanickam (2018). Multithreaded sparse matrix-matrix multiplication for many-core and GPU architectures. Parallel Computing.

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Mehmet Deveci, Karen D Devine, Kevin Pedretti, Mark A Taylor, Sivasankaran Rajamanickam, Ümit V Catalyürek (2018). Geometric partitioning and ordering strategies for task mapping on parallel computers. arXiv preprint arXiv:1804.09798.

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Alexander Heinlein, Axel Klawonn, Sivasankaran Rajamanickam, Oliver Rheinbach (2018). FROSch: a fast and robust overlapping Schwarz domain decomposition preconditioner based on Xpetra in Trilinos. International Conference on Domain Decomposition Methods.

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Abdurrahman Yaşar, Sivasankaran Rajamanickam, Michael Wolf, Jonathan Berry, Ümit V Catalyürek (2018). Fast triangle counting using cilk. 2018 IEEE High Performance extreme Computing Conference (HPEC).

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George M Slota, Siva Rajamanickam (2018). Experimental design of work chunking for graph algorithms on high bandwidth memory architectures. 2018 IEEE International Parallel and Distributed Processing Symposium (IPDPS).

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Marta D'Elia, H Carter Edwards, J Hu, E Phipps, Sivasankaran Rajamanickam (2018). Ensemble grouping strategies for embedded stochastic collocation methods applied to anisotropic diffusion problems. SIAM/ASA Journal on Uncertainty Quantification.

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Christian Glusa, Erik G Boman, Edmond Chow, Sivasankaran Rajamanickam, Paritosh Ramanan (2018). Asynchronous one-level and two-level domain decomposition solvers. International Conference on Domain Decomposition Methods.

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Chao Chen, Hadi Pouransari, Sivasankaran Rajamanickam, Erik G Boman, Eric Darve (2018). A distributed-memory hierarchical solver for general sparse linear systems. Parallel Computing.

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Mehmet Deveci, Christian Trott, Sivasankaran Rajamanickam (2017). Performance-portable sparse matrix-matrix multiplication for many-core architectures. 2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).

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George M Slota, Sivasankaran Rajamanickam, Karen Devine, Kamesh Madduri (2017). Partitioning trillion-edge graphs in minutes. 2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS).

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George M Slota, Sivasankaran Rajamanickam, Kamesh Madduri (2017). Order or shuffle: Empirically evaluating vertex order impact on parallel graph computations. 2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).

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Michael M Wolf, Mehmet Deveci, Jonathan W Berry, Simon D Hammond, Sivasankaran Rajamanickam (2017). Fast linear algebra-based triangle counting with kokkoskernels. 2017 IEEE High Performance Extreme Computing Conference (HPEC).

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Eric Phipps, Marta D'Elia, H Carter Edwards, Mark Hoemmen, Jonathan Hu, Sivasankaran Rajamanickam (2017). Embedded ensemble propagation for improving performance, portability, and scalability of uncertainty quantification on emerging computational architectures. SIAM Journal on Scientific Computing.

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George M Slota, Sivasankaran Rajamanickam, Kamesh Madduri (2017). Distributed graph layout for scalable small-world network analysis. arXiv preprint arXiv:1701.00503.

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Kyungjoo Kim, Timothy B Costa, Mehmet Deveci, Andrew M Bradley, Simon D Hammond, Murat E Guney, Sarah Knepper, Shane Story, Sivasankaran Rajamanickam (2017). Designing vector-friendly compact BLAS and LAPACK kernels. Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis.

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Joshua D Booth, Nathan D Ellingwood, Heidi K Thornquist, Sivasankaran Rajamanickam (2017). Basker: Parallel sparse LU factorization utilizing hierarchical parallelism and data layouts. Parallel Computing.

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Mehmet Deveci, Erik G Boman, Karen D Devine, Sivasankaran Rajamanickam (2016). Parallel graph coloring for manycore architectures. 2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS).

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George M Slota, Kamesh Madduri, Sivasankaran Rajamanickam (2016). Complex network partitioning using label propagation. SIAM Journal on Scientific Computing.

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Joshua Dennis Booth, Sivasankaran Rajamanickam, Heidi Thornquist (2016). Basker: a threaded sparse lu factorization utilizing hierarchical parallelism and data layouts. 2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).

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Timothy A Davis, Sivasankaran Rajamanickam, Wissam M Sid-Lakhdar (2016). A survey of direct methods for sparse linear systems. Acta Numerica.

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Joshua Dennis Booth, Kyungjoo Kim, Sivasankaran Rajamanickam (2016). A comparison of high-level programming choices for incomplete sparse factorization across different architectures. 2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).

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George M Slota, Sivasankaran Rajamanickam, Kamesh Madduri (2016). A case study of complex graph analysis in distributed memory: Implementation and optimization. 2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS).

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Mehmet Deveci, Sivasankaran Rajamanickam, Karen D Devine, Ümit V Catalyürek (2015). Multi-jagged: A scalable parallel spatial partitioning algorithm. IEEE Transactions on Parallel and Distributed Systems.

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George M Slota, Sivasankaran Rajamanickam, Kamesh Madduri (2015). High-performance graph analytics on manycore processors. 2015 IEEE International Parallel and Distributed Processing Symposium.

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Vladimir Ufimtsev, Sanjukta Bhowmick, Sivasankaran Rajamanickam (2014). Building blocks for graph based network analysis. 2014 IEEE High Performance Extreme Computing Conference (HPEC).

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Paul Lin, Matthew Bettencourt, Stefan Domino, Travis Fisher, Mark Hoemmen, Jonathan Hu, Eric Phipps, Andrey Prokopenko, Sivasankaran Rajamanickam, Christopher Siefert, others (2014). Towards extreme-scale simulations with next-generation Trilinos: a low Mach fluid application case study. 2014 IEEE International Parallel & Distributed Processing Symposium Workshops.

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Paul Lin, Matthew Bettencourt, Stefan Domino, Travis Fisher, Mark Hoemmen, Jonathan Hu, Eric Phipps, Andrey Prokopenko, Sivasankaran Rajamanickam, Christopher Siefert, others (2014). Towards extreme-scale simulations for low mach fluids with second-generation Trilinos. Parallel Processing Letters.

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George M Slota, Kamesh Madduri, Sivasankaran Rajamanickam (2014). PuLP: Scalable multi-objective multi-constraint partitioning for small-world networks. 2014 IEEE International Conference on Big Data (Big Data).

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Mehmet Deveci, Sivasankaran Rajamanickam, Vitus J Leung, Kevin Pedretti, Stephen L Olivier, David P Bunde, Ümit V Catalyürek, Karen Devine (2014). Exploiting geometric partitioning in task mapping for parallel computers. 2014 IEEE 28th international parallel and distributed processing symposium.

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Ichitaro Yamazaki, Sivasankaran Rajamanickam, Erik G Boman, Mark Hoemmen, Michael A Heroux, Stanimire Tomov (2014). Domain decomposition preconditioners for communication-avoiding Krylov methods on a hybrid CPU/GPU cluster. SC'14: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis.

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George M Slota, Sivasankaran Rajamanickam, Kamesh Madduri (2014). BFS and coloring-based parallel algorithms for strongly connected components and related problems. 2014 IEEE 28th International Parallel and Distributed Processing Symposium.

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Heidi K Thornquist, Sivasankaran Rajamanickam (2014). A hybrid approach for parallel transistor-level full-chip circuit simulation. International Conference on High Performance Computing for Computational Science.

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Erik G Boman, Karen D Devine, Sivasankaran Rajamanickam (2013). Scalable matrix computations on large scale-free graphs using 2D graph partitioning. Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis.

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Heidi K Thornquist, Eric R Keiter, Sivasankaran Rajamanickam (2013). Electrical modeling and simulation for stockpile stewardship. XRDS: Crossroads, The ACM Magazine for Students.

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Sivasankaran Rajamanickam, Erik Boman, Michael Heroux (2012). ShyLU: A Hybrid-Hybrid Solver for Multicore Platforms. Parallel & Distributed Processing Symposium (IPDPS), 2012 IEEE 26th International.

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Sivasankaran Rajamanickam, Erik G Boman (2012). Parallel partitioning with zoltan: Is hypergraph partitioning worth it?. Graph Partitioning and Graph Clustering.

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Ariful Azad, Mahantesh Halappanavar, Sivasankaran Rajamanickam, Erik G Boman, Arif Khan, Alex Pothen (2012). Multithreaded Algorithms for Maximum Matching in Bipartite Graphs. Parallel & Distributed Processing Symposium (IPDPS), 2012 IEEE 26th International.

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Eric Bavier, Mark Hoemmen, Sivasankaran Rajamanickam, Heidi Thornquist (2012). Amesos2 and Belos: Direct and iterative solvers for large sparse linear systems. Scientific Programming.

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Chris Baker, Erik Boman, Mike Heroux, Eric Keiter, Siva Rajamanickam, Rich Schiek, Heidi Thornquist (2011). Enabling next-generation parallel circuit simulation with Trilinos. European Conference on Parallel Processing.

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Sivasankaran Rajamanickam, Erik G Boman (2011). An Evaluation of the Zoltan Parallel Graph and Hypergraph Partitioners.. 10th DIMACS Implementation Challenge, Graph Partitioning and Graph Clustering.

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Erik Boman, Sivasankaran Rajamanickam (2011). A study of combinatorial issues in a sparse hybrid solver. Proceedings of SciDAC conference.

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Yanqing Chen, Timothy A Davis, William W Hager, Sivasankaran Rajamanickam (2008). Algorithm 887: CHOLMOD, supernodal sparse Cholesky factorization and update/downdate. ACM Transactions on Mathematical Software (TOMS).

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Sridhar Satuloori, Sivasankaran R (Rajamanickam) (2007). System and method for dynamically disabling partially streamed content. US Patent 7,308,504.

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Vasanth Kalyanavarathan, Sivasankaran R (Rajamanickam) (2007). System and method for cluster-sensitive sticky load balancing. US Patent 7,185,096.

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