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2020 – today
- 2024
- [j30]Michael S. Gilbert
, Kamesh Madduri
Jet: Multilevel Graph Partitioning on Graphics Processing Units. SIAM J. Sci. Comput. 46(5): 700- (2024) - [i32]Kylee Santos, Stan G. Moore, Tomas Oppelstrup, Amirali Sharifian, Ilya Sharapov, Aidan P. Thompson, Delyan Z. Kalchev, Danny Perez, Robert Schreiber, Scott Pakin, Edgar A Leon, James H. Laros III, Michael James, Sivasankaran Rajamanickam:
Breaking the Molecular Dynamics Timescale Barrier Using a Wafer-Scale System. CoRR abs/2405.07898 (2024) - 2023
- [j29]Kim Liegeois
Performance Portable Batched Sparse Linear Solvers. IEEE Trans. Parallel Distributed Syst. 34(5): 1524-1535 (2023) - [c49]Jon Roose, Miheer Vaidya, Ponnuswamy Sadayappan, Sivasankaran Rajamanickam:
TenSQL: An SQL Database Built on GraphBLAS. HPEC 2023: 1-8 - [c48]Michael Eydenberg, Mark Plagge, Siva Rajamanickam:
A Comparison of Spectral and Spatial Graph Convolutional Neural Network Kernels Using GraphSAGE-Sparse. IPDPS Workshops 2023: 189-198 - [c47]Ichitaro Yamazaki, Alexander Heinlein
An Experimental Study of Two-level Schwarz Domain-Decomposition Preconditioners on GPUs. IPDPS 2023: 680-689 - [i31]Raveesh Garg
Exploiting Inter-Operation Data Reuse in Scientific Applications using GOGETA. CoRR abs/2303.11499 (2023) - [i30]Ichitaro Yamazaki, Alexander Heinlein, Sivasankaran Rajamanickam:
An Experimental Study of Two-Level Schwarz Domain Decomposition Preconditioners on GPUs. CoRR abs/2304.04876 (2023) - [i29]Michael S. Gilbert, Kamesh Madduri, Erik G. Boman, Sivasankaran Rajamanickam:
Jet: Multilevel Graph Partitioning on GPUs. CoRR abs/2304.13194 (2023) - 2022
- [j28]Lenz Fiedler
Training-free hyperparameter optimization of neural networks for electronic structures in matter. Mach. Learn. Sci. Technol. 3(4): 45008 (2022) - [j27]Ian Bogle
Parallel graph coloring algorithms for distributed GPU environments. Parallel Comput. 110: 102896 (2022) - [j26]Alexander Heinlein
FROSch Preconditioners for Land Ice Simulations of Greenland and Antarctica. SIAM J. Sci. Comput. 44(2): 339- (2022) - [j25]Abdurrahman Yasar
A Block-Based Triangle Counting Algorithm on Heterogeneous Environments. IEEE Trans. Parallel Distributed Syst. 33(2): 444-458 (2022) - [j24]Christian R. Trott
Kokkos 3: Programming Model Extensions for the Exascale Era. IEEE Trans. Parallel Distributed Syst. 33(4): 805-817 (2022) - [j23]Gordon Euhyun Moon
Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication. IEEE Trans. Parallel Distributed Syst. 33(4): 1002-1014 (2022) - [c46]Evan Harvey, Reed Milewicz, Christian Trott, Luc Berger-Vergiat, Siva Rajamanickam:
Half-Precision Scalar Support in Kokkos and Kokkos Kernels: An Engineering Study and Experience Report. e-Science 2022: 551-560 - [c45]James Fox, Bo Zhao
Concentric Spherical Neural Network for 3D Representation Learning. IJCNN 2022: 1-8 - [c44]Brian Kelley, Sivasankaran Rajamanickam:
Parallel, Portable Algorithms for Distance-2 Maximal Independent Set and Graph Coarsening. IPDPS 2022: 280-290 - [c43]Raveesh Garg
Understanding the Design-Space of Sparse/Dense Multiphase GNN dataflows on Spatial Accelerators. IPDPS 2022: 571-582 - [c42]Ichitaro Yamazaki, Christian Glusa, Jennifer A. Loe, Piotr Luszczek, Sivasankaran Rajamanickam, Jack J. Dongarra:
High-Performance GMRES Multi-Precision Benchmark: Design, Performance, and Challenges. PMBS@SC 2022: 112-122 - [p2]George M. Slota, Sivasankaran Rajamanickam, Kamesh Madduri:
Multicore Algorithms for Graph Connectivity Problems. Massive Graph Analytics 2022: 63-84 - [p1]George M. Slota, Karen D. Devine, Kamesh Madduri, Sivasankaran Rajamanickam:
Partitioning Trillion-Edge Graphs. Massive Graph Analytics 2022: 223-240 - [i28]Eric Qin, Raveesh Garg, Abhimanyu Bambhaniya, Michael Pellauer, Angshuman Parashar, Sivasankaran Rajamanickam, Cong Hao, Tushar Krishna:
Enabling Flexibility for Sparse Tensor Acceleration via Heterogeneity. CoRR abs/2201.08916 (2022) - [i27]Brian Kelley, Sivasankaran Rajamanickam:
Parallel, Portable Algorithms for Distance-2 Maximal Independent Set and Graph Coarsening. CoRR abs/2204.02934 (2022) - [i26]Abdurrahman Yasar, Sivasankaran Rajamanickam, Jonathan W. Berry, Ümit V. Çatalyürek:
PGAbB: A Block-Based Graph Processing Framework for Heterogeneous Platforms. CoRR abs/2209.04541 (2022) - 2021
- [j22]Christian Trott
The Kokkos EcoSystem: Comprehensive Performance Portability for High Performance Computing. Comput. Sci. Eng. 23(5): 10-18 (2021) - [j21]Ahmad Abdelfattah, Hartwig Anzt
A survey of numerical linear algebra methods utilizing mixed-precision arithmetic. Int. J. High Perform. Comput. Appl. 35(4) (2021) - [j20]Seher Acer, Ariful Azad, Erik G. Boman, Aydin Buluç
EXAGRAPH: Graph and combinatorial methods for enabling exascale applications. Int. J. High Perform. Comput. Appl. 35(6): 553-571 (2021) - [j19]Francis J. Alexander
Co-design Center for Exascale Machine Learning Technologies (ExaLearn). Int. J. High Perform. Comput. Appl. 35(6): 598-616 (2021) - [j18]Seher Acer
Sphynx: A parallel multi-GPU graph partitioner for distributed-memory systems. Parallel Comput. 106: 102769 (2021) - [c41]Geonhwa Jeong, Gokcen Kestor, Prasanth Chatarasi, Angshuman Parashar, Po-An Tsai, Sivasankaran Rajamanickam, Roberto Gioiosa, Tushar Krishna:
Union: A Unified HW-SW Co-Design Ecosystem in MLIR for Evaluating Tensor Operations on Spatial Accelerators. PACT 2021: 30-44 - [c40]Michael S. Gilbert, Seher Acer, Erik G. Boman, Kamesh Madduri, Sivasankaran Rajamanickam:
Performance-Portable Graph Coarsening for Efficient Multilevel Graph Analysis. IPDPS 2021: 213-222 - [c39]Jennifer A. Loe, Christian A. Glusa, Ichitaro Yamazaki, Erik G. Boman, Sivasankaran Rajamanickam:
Experimental Evaluation of Multiprecision Strategies for GMRES on GPUs. IPDPS Workshops 2021: 469-478 - [c38]Eric Qin, Geonhwa Jeong, William Won
Extending Sparse Tensor Accelerators to Support Multiple Compression Formats. IPDPS 2021: 1014-1024 - [i25]Raveesh Garg, Eric Qin, Francisco Muñoz-Martínez, Robert Guirado, Akshay Jain, Sergi Abadal, José L. Abellán, Manuel E. Acacio, Eduard Alarcón, Sivasankaran Rajamanickam, Tushar Krishna:
A Taxonomy for Classification and Comparison of Dataflows for GNN Accelerators. CoRR abs/2103.07977 (2021) - [i24]Eric Qin, Geonhwa Jeong, William Won, Sheng-Chun Kao, Hyoukjun Kwon, Sudarshan Srinivasan, Dipankar Das, Gordon Euhyun Moon, Sivasankaran Rajamanickam, Tushar Krishna:
Extending Sparse Tensor Accelerators to Support Multiple Compression Formats. CoRR abs/2103.10452 (2021) - [i23]James Fox, Bo Zhao, Sivasankaran Rajamanickam, Rampi Ramprasad, Le Song:
Concentric Spherical GNN for 3D Representation Learning. CoRR abs/2103.10484 (2021) - [i22]Sivasankaran Rajamanickam, Seher Acer, Luc Berger-Vergiat, Vinh Q. Dang, Nathan D. Ellingwood, Evan Harvey, Brian Kelley, Christian R. Trott, Jeremiah J. Wilke, Ichitaro Yamazaki:
Kokkos Kernels: Performance Portable Sparse/Dense Linear Algebra and Graph Kernels. CoRR abs/2103.11991 (2021) - [i21]Luc Berger-Vergiat, Brian Kelley, Sivasankaran Rajamanickam, Jonathan J. Hu, Katarzyna Swirydowicz, Paul Mullowney, Stephen J. Thomas, Ichitaro Yamazaki:
Two-Stage Gauss-Seidel Preconditioners and Smoothers for Krylov Solvers on a GPU cluster. CoRR abs/2104.01196 (2021) - [i20]Seher Acer, Erik G. Boman, Christian A. Glusa, Sivasankaran Rajamanickam:
Sphynx: a parallel multi-GPU graph partitioner for distributed-memory systems. CoRR abs/2105.00578 (2021) - [i19]Jennifer A. Loe, Christian A. Glusa, Ichitaro Yamazaki, Erik G. Boman, Sivasankaran Rajamanickam:
Experimental Evaluation of Multiprecision Strategies for GMRES on GPUs. CoRR abs/2105.07544 (2021) - [i18]Gordon Euhyun Moon, Hyoukjun Kwon, Geonhwa Jeong, Prasanth Chatarasi, Sivasankaran Rajamanickam, Tushar Krishna:
Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication. CoRR abs/2106.10499 (2021) - [i17]Ian Bogle, Erik G. Boman, Karen D. Devine, Sivasankaran Rajamanickam, George M. Slota:
Parallel Graph Coloring Algorithms for Distributed GPU Environments. CoRR abs/2107.00075 (2021) - [i16]Jennifer A. Loe, Christian A. Glusa, Ichitaro Yamazaki, Erik G. Boman, Sivasankaran Rajamanickam:
A Study of Mixed Precision Strategies for GMRES on GPUs. CoRR abs/2109.01232 (2021) - [i15]Geonhwa Jeong, Gokcen Kestor, Prasanth Chatarasi, Angshuman Parashar, Po-An Tsai, Sivasankaran Rajamanickam, Roberto Gioiosa, Tushar Krishna:
Union: A Unified HW-SW Co-Design Ecosystem in MLIR for Evaluating Tensor Operations on Spatial Accelerators. CoRR abs/2109.07419 (2021) - 2020
- [j17]Léopold Cambier
An Algebraic Sparsified Nested Dissection Algorithm Using Low-Rank Approximations. SIAM J. Matrix Anal. Appl. 41(2): 715-746 (2020) - [j16]Christian Glusa
Scalable Asynchronous Domain Decomposition Solvers. SIAM J. Sci. Comput. 42(6): C384-C409 (2020) - [j15]George M. Slota
Scalable, Multi-Constraint, Complex-Objective Graph Partitioning. IEEE Trans. Parallel Distributed Syst. 31(12): 2789-2801 (2020) - [c37]Ichitaro Yamazaki, Sivasankaran Rajamanickam, Nathan D. Ellingwood:
Performance Portable Supernode-based Sparse Triangular Solver for Manycore Architectures. ICPP 2020: 70:1-70:11 - [c36]Seher Acer, Erik G. Boman, Sivasankaran Rajamanickam:
SPHYNX: Spectral Partitioning for HYbrid aNd aXelerator-enabled systems. IPDPS Workshops 2020: 440-449 - [c35]Ian Bogle, Erik G. Boman, Karen D. Devine, Sivasankaran Rajamanickam, George M. Slota:
Distributed Memory Graph Coloring Algorithms for Multiple GPUs. IA3@SC 2020: 54-62 - [c34]Vinh Q. Dang, Joseph D. Kotulski, Sivasankaran Rajamanickam:
ADELUS: A Performance-Portable Dense LU Solver for Distributed-Memory Hardware-Accelerated Systems. WACCPD@SC 2020: 80-101 - [c33]Luca Bertagna
A performance-portable nonhydrostatic atmospheric dycore for the energy exascale earth system model running at cloud-resolving resolutions. SC 2020: 92 - [e1]H. Martin Bücker
Proceedings of the SIAM Workshop on Combinatorial Scientific Computing, CSC 2020, Seattle, USA, February 11-13, 2020. SIAM 2020, ISBN 978-1-61197-622-9 [contents] - [i14]Ahmad Abdelfattah, Hartwig Anzt, Erik G. Boman, Erin C. Carson, Terry Cojean
A Survey of Numerical Methods Utilizing Mixed Precision Arithmetic. CoRR abs/2007.06674 (2020) - [i13]Abdurrahman Yasar, Sivasankaran Rajamanickam, Jonathan W. Berry, Ümit V. Çatalyürek:
A Block-Based Triangle Counting Algorithm on Heterogeneous Environments. CoRR abs/2009.12457 (2020) - [i12]J. Austin Ellis, Attila Cangi
Accelerating Finite-temperature Kohn-Sham Density Functional Theory with Deep Neural Networks. CoRR abs/2010.04905 (2020)
2010 – 2019
- 2019
- [j14]Chao Chen
A robust hierarchical solver for ill-conditioned systems with applications to ice sheet modeling. J. Comput. Phys. 396: 819-836 (2019) - [j13]Mehmet Deveci, Karen D. Devine
Geometric Mapping of Tasks to Processors on Parallel Computers with Mesh or Torus Networks. IEEE Trans. Parallel Distributed Syst. 30(9): 2018-2032 (2019) - [c32]Seher Acer
Scalable Triangle Counting on Distributed-Memory Systems. HPEC 2019: 1-5 - [c31]J. Austin Ellis, Sivasankaran Rajamanickam:
Scalable Inference for Sparse Deep Neural Networks using Kokkos Kernels. HPEC 2019: 1-7 - [c30]Abdurrahman Yasar, Sivasankaran Rajamanickam, Jonathan W. Berry, Michael M. Wolf, Jeffrey S. Young, Ümit V. Çatalyürek:
Linear Algebra-Based Triangle Counting via Fine-Grained Tasking on Heterogeneous Environments : (Update on Static Graph Challenge). HPEC 2019: 1-4 - [c29]Ian Bogle, Karen D. Devine, Mauro Perego, Sivasankaran Rajamanickam, George M. Slota:
A Parallel Graph Algorithm for Detecting Mesh Singularities in Distributed Memory Ice Sheet Simulations. ICPP 2019: 1:1-1:10 - [c28]George M. Slota, Jonathan W. Berry, Simon D. Hammond, Stephen L. Olivier
Scalable generation of graphs for benchmarking HPC community-detection algorithms. SC 2019: 73:1-73:14 - [c27]Damodar Sahasrabudhe, Eric T. Phipps, Sivasankaran Rajamanickam, Martin Berzins:
A Portable SIMD Primitive Using Kokkos for Heterogeneous Architectures. WACCPD@SC 2019: 140-163 - [i11]James Fox, Sivasankaran Rajamanickam:
How Robust Are Graph Neural Networks to Structural Noise? CoRR abs/1912.10206 (2019) - 2018
- [j12]Marta D'Elia, H. Carter Edwards, Jonathan J. Hu, Eric T. Phipps
Ensemble Grouping Strategies for Embedded Stochastic Collocation Methods Applied to Anisotropic Diffusion Problems. SIAM/ASA J. Uncertain. Quantification 6(1): 87-117 (2018) - [j11]Chao Chen
A distributed-memory hierarchical solver for general sparse linear systems. Parallel Comput. 74: 49-64 (2018) - [j10]Mehmet Deveci, Christian Trott
Multithreaded sparse matrix-matrix multiplication for many-core and GPU architectures. Parallel Comput. 78: 33-46 (2018) - [c26]Abdurrahman Yasar, Sivasankaran Rajamanickam, Michael M. Wolf, Jonathan W. Berry, Ümit V. Çatalyürek:
Fast Triangle Counting Using Cilk. HPEC 2018: 1-7 - [c25]Kyungjoo Kim, H. Carter Edwards, Sivasankaran Rajamanickam:
Tacho: Memory-Scalable Task Parallel Sparse Cholesky Factorization. IPDPS Workshops 2018: 550-559 - [c24]George M. Slota, Sivasankaran Rajamanickam:
Experimental Design of Work Chunking for Graph Algorithms on High Bandwidth Memory Architectures. IPDPS 2018: 875-884 - [i10]Mehmet Deveci, Christian Trott, Sivasankaran Rajamanickam:
Multi-threaded Sparse Matrix-Matrix Multiplication for Many-Core and GPU Architectures. CoRR abs/1801.03065 (2018) - [i9]Mehmet Deveci, Simon D. Hammond, Michael M. Wolf, Sivasankaran Rajamanickam:
Sparse Matrix-Matrix Multiplication on Multilevel Memory Architectures : Algorithms and Experiments. CoRR abs/1804.00695 (2018) - [i8]Mehmet Deveci, Karen D. Devine, Kevin T. Pedretti, Mark A. Taylor, Sivasankaran Rajamanickam, Ümit V. Çatalyürek:
Geometric Partitioning and Ordering Strategies for Task Mapping on Parallel Computers. CoRR abs/1804.09798 (2018) - [i7]Christian A. Glusa, Paritosh Ramanan, Erik G. Boman, Edmond Chow, Sivasankaran Rajamanickam:
Asynchronous One-Level and Two-Level Domain Decomposition Solvers. CoRR abs/1808.08172 (2018) - 2017
- [j9]Joshua Dennis Booth, Nathan D. Ellingwood, Heidi K. Thornquist, Sivasankaran Rajamanickam:
Basker: Parallel sparse LU factorization utilizing hierarchical parallelism and data layouts. Parallel Comput. 68: 17-31 (2017) - [j8]Eric T. Phipps
Embedded Ensemble Propagation for Improving Performance, Portability, and Scalability of Uncertainty Quantification on Emerging Computational Architectures. SIAM J. Sci. Comput. 39(2) (2017) - [c23]Michael M. Wolf, Mehmet Deveci, Jonathan W. Berry, Simon D. Hammond, Sivasankaran Rajamanickam:
Fast linear algebra-based triangle counting with KokkosKernels. HPEC 2017: 1-7 - [c22]George M. Slota, Sivasankaran Rajamanickam, Kamesh Madduri:
Order or Shuffle: Empirically Evaluating Vertex Order Impact on Parallel Graph Computations. IPDPS Workshops 2017: 588-597 - [c21]George M. Slota, Sivasankaran Rajamanickam, Karen D. Devine, Kamesh Madduri:
Partitioning Trillion-Edge Graphs in Minutes. IPDPS 2017: 646-655 - [c20]Mehmet Deveci, Christian Trott, Sivasankaran Rajamanickam:
Performance-Portable Sparse Matrix-Matrix Multiplication for Many-Core Architectures. IPDPS Workshops 2017: 693-702 - [c19]Kyungjoo Kim, Timothy B. Costa, Mehmet Deveci, Andrew M. Bradley
Designing vector-friendly compact BLAS and LAPACK kernels. SC 2017: 55 - [i6]George M. Slota, Sivasankaran Rajamanickam, Kamesh Madduri:
Distributed Graph Layout for Scalable Small-world Network Analysis. CoRR abs/1701.00503 (2017) - [i5]Chao Chen, Hadi Pouransari, Sivasankaran Rajamanickam, Erik G. Boman, Eric Darve:
A distributed-memory hierarchical solver for general sparse linear systems. CoRR abs/1712.07297 (2017) - 2016
- [j7]Timothy A. Davis, Sivasankaran Rajamanickam, Wissam M. Sid-Lakhdar:
A survey of direct methods for sparse linear systems. Acta Numer. 25: 383-566 (2016) - [j6]George M. Slota, Kamesh Madduri
Complex Network Partitioning Using Label Propagation. SIAM J. Sci. Comput. 38(5) (2016) - [j5]Mehmet Deveci, Sivasankaran Rajamanickam, Karen D. Devine, Ümit V. Çatalyürek:
Multi-Jagged: A Scalable Parallel Spatial Partitioning Algorithm. IEEE Trans. Parallel Distributed Syst. 27(3): 803-817 (2016) - [c18]George M. Slota, Sivasankaran Rajamanickam, Kamesh Madduri
A Case Study of Complex Graph Analysis in Distributed Memory: Implementation and Optimization. IPDPS 2016: 293-302 - [c17]Joshua Dennis Booth, Kyungjoo Kim, Sivasankaran Rajamanickam:
A Comparison of High-Level Programming Choices for Incomplete Sparse Factorization Across Different Architectures. IPDPS Workshops 2016: 397-406 - [c16]Joshua Dennis Booth, Sivasankaran Rajamanickam, Heidi Thornquist:
Basker: A Threaded Sparse LU Factorization Utilizing Hierarchical Parallelism and Data Layouts. IPDPS Workshops 2016: 673-682 - [c15]Mehmet Deveci, Erik G. Boman, Karen D. Devine, Sivasankaran Rajamanickam:
Parallel Graph Coloring for Manycore Architectures. IPDPS 2016: 892-901 - [i4]Joshua Dennis Booth, Sivasankaran Rajamanickam, Heidi K. Thornquist:
Basker: A Threaded Sparse LU Factorization Utilizing Hierarchical Parallelism and Data Layouts. CoRR abs/1601.05725 (2016) - [i3]Kyungjoo Kim, Sivasankaran Rajamanickam, George Stelle, H. Carter Edwards, Stephen L. Olivier:
Task Parallel Incomplete Cholesky Factorization using 2D Partitioned-Block Layout. CoRR abs/1601.05871 (2016) - [i2]George M. Slota, Sivasankaran Rajamanickam, Karen D. Devine, Kamesh Madduri:
Partitioning Trillion-edge Graphs in Minutes. CoRR abs/1610.07220 (2016) - 2015
- [c14]George M. Slota, Sivasankaran Rajamanickam, Kamesh Madduri
High-Performance Graph Analytics on Manycore Processors. IPDPS 2015: 17-27 - [i1]Eric T. Phipps, Marta D'Elia, H. Carter Edwards, Mark Hoemmen, Jonathan J. Hu, Sivasankaran Rajamanickam:
Embedded Ensemble Propagation for Improving Performance, Portability and Scalability of Uncertainty Quantification on Emerging Computational Architectures. CoRR abs/1511.03703 (2015) - 2014
- [j4]Paul T. Lin, Matthew T. Bettencourt, Stefan Domino, Travis Fisher, Mark Hoemmen, Jonathan J. Hu, Eric T. Phipps, Andrey Prokopenko, Sivasankaran Rajamanickam, Christopher M. Siefert, Stephen Kennon:
Towards Extreme-Scale Simulations for Low Mach Fluids with Second-Generation Trilinos. Parallel Process. Lett. 24(4) (2014) - [c13]George M. Slota, Kamesh Madduri
PuLP: Scalable multi-objective multi-constraint partitioning for small-world networks. IEEE BigData 2014: 481-490 - [c12]Vladimir Ufimtsev, Sanjukta Bhowmick, Sivasankaran Rajamanickam:
Building blocks for graph based network analysis. HPEC 2014: 1-6 - [c11]Mehmet Deveci, Sivasankaran Rajamanickam, Vitus J. Leung, Kevin T. Pedretti, Stephen L. Olivier
Exploiting Geometric Partitioning in Task Mapping for Parallel Computers. IPDPS 2014: 27-36 - [c10]George M. Slota, Sivasankaran Rajamanickam, Kamesh Madduri
BFS and Coloring-Based Parallel Algorithms for Strongly Connected Components and Related Problems. IPDPS 2014: 550-559 - [c9]Paul T. Lin, Matthew T. Bettencourt, Stefan Domino, Travis Fisher, Mark Hoemmen, Jonathan J. Hu, Eric T. Phipps, Andrey Prokopenko, Sivasankaran Rajamanickam, Christopher M. Siefert, Eric C. Cyr
Towards Extreme-Scale Simulations with Next-Generation Trilinos: A Low Mach Fluid Application Case Study. IPDPS Workshops 2014: 1485-1494 - [c8]Ichitaro Yamazaki, Sivasankaran Rajamanickam, Erik G. Boman, Mark Hoemmen, Michael A. Heroux
Domain Decomposition Preconditioners for Communication-Avoiding Krylov Methods on a Hybrid CPU/GPU Cluster. SC 2014: 933-944 - [c7]Heidi K. Thornquist, Sivasankaran Rajamanickam:
A Hybrid Approach for Parallel Transistor-Level Full-Chip Circuit Simulation. VECPAR 2014: 102-111 - 2013
- [j3]Heidi Thornquist, Eric R. Keiter, Sivasankaran Rajamanickam:
Electrical modeling and simulation for stockpile stewardship. XRDS 19(3): 18-22 (2013) - [c6]Erik G. Boman, Karen D. Devine, Sivasankaran Rajamanickam:
Scalable matrix computations on large scale-free graphs using 2D graph partitioning. SC 2013: 50:1-50:12 - 2012
- [j2]Eric Bavier, Mark Hoemmen, Sivasankaran Rajamanickam, Heidi Thornquist:
Amesos2 and Belos: Direct and iterative solvers for large sparse linear systems. Sci. Program. 20(3): 241-255 (2012) - [c5]Sivasankaran Rajamanickam, Erik G. Boman:
Parallel partitioning with Zoltan: Is hypergraph partitioning worth it? Graph Partitioning and Graph Clustering 2012: 37-52 - [c4]Sivasankaran Rajamanickam, Erik G. Boman, Michael A. Heroux
ShyLU: A Hybrid-Hybrid Solver for Multicore Platforms. IPDPS 2012: 631-643 - [c3]Ariful Azad, Mahantesh Halappanavar, Sivasankaran Rajamanickam, Erik G. Boman, Arif M. Khan, Alex Pothen
Multithreaded Algorithms for Maxmum Matching in Bipartite Graphs. IPDPS 2012: 860-872 - 2011
- [c2]Chris G. Baker, Erik G. Boman, Michael A. Heroux, Eric R. Keiter
Enabling Next-Generation Parallel Circuit Simulation with Trilinos. Euro-Par Workshops (1) 2011: 315-323 - [c1]Sivasankaran Rajamanickam, Erik G. Boman, Michael A. Heroux
Poster: a hybrid-hybrid solver for manycore platforms. SC Companion 2011: 35-36
2000 – 2009
- 2008
- [j1]Yanqing Chen, Timothy A. Davis, William W. Hager, Sivasankaran Rajamanickam:
Algorithm 887: CHOLMOD, Supernodal Sparse Cholesky Factorization and Update/Downdate. ACM Trans. Math. Softw. 35(3): 22:1-22:14 (2008)
Coauthor Index
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