Sivasankaran Rajamanickam

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 88

Top Venues

CoRR

IPDPS

IPDPS Workshops

IEEE Trans. Parallel Distributed Syst.

Publications

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 (2024)
Jon Roose, Miheer Vaidya, Ponnuswamy Sadayappan, Sivasankaran Rajamanickam
TenSQL: An SQL Database Built on GraphBLAS. HPEC (2023)
Michael S. Gilbert, Kamesh Madduri, Erik G. Boman, Sivasankaran Rajamanickam
Jet: Multilevel Graph Partitioning on GPUs. CoRR (2023)
Kim Liegeois, Sivasankaran Rajamanickam, Luc Berger-Vergiat
Performance Portable Batched Sparse Linear Solvers. IEEE Trans. Parallel Distributed Syst. 34 (5) (2023)
Ichitaro Yamazaki, Alexander Heinlein, Sivasankaran Rajamanickam
An Experimental Study of Two-Level Schwarz Domain Decomposition Preconditioners on GPUs. CoRR (2023)
Raveesh Garg, Michael Pellauer, Sivasankaran Rajamanickam, Tushar Krishna
Exploiting Inter-Operation Data Reuse in Scientific Applications using GOGETA. CoRR (2023)
Ichitaro Yamazaki, Alexander Heinlein, Sivasankaran Rajamanickam
An Experimental Study of Two-level Schwarz Domain-Decomposition Preconditioners on GPUs. IPDPS (2023)
Alexander Heinlein, Mauro Perego, Sivasankaran Rajamanickam
FROSch Preconditioners for Land Ice Simulations of Greenland and Antarctica. SIAM J. Sci. Comput. 44 (2) (2022)
Gordon Euhyun Moon, Hyoukjun Kwon, Geonhwa Jeong, Prasanth Chatarasi, Sivasankaran Rajamanickam, Tushar Krishna
Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication. IEEE Trans. Parallel Distributed Syst. 33 (4) (2022)
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
Understanding the Design-Space of Sparse/Dense Multiphase GNN dataflows on Spatial Accelerators. IPDPS (2022)
Abdurrahman Yasar, Sivasankaran Rajamanickam, Jonathan W. Berry, Ümit V. Çatalyürek
A Block-Based Triangle Counting Algorithm on Heterogeneous Environments. IEEE Trans. Parallel Distributed Syst. 33 (2) (2022)
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 (2022)
Ian Bogle, George M. Slota, Erik G. Boman, Karen D. Devine, Sivasankaran Rajamanickam
Parallel graph coloring algorithms for distributed GPU environments. Parallel Comput. 110 (2022)
Brian Kelley, Sivasankaran Rajamanickam
Parallel, Portable Algorithms for Distance-2 Maximal Independent Set and Graph Coarsening. IPDPS (2022)
Lenz Fiedler, Nils Hoffmann, Parvez Mohammed, Gabriel A. Popoola, Tamar Yovell, Vladyslav Oles, J. Austin Ellis, Sivasankaran Rajamanickam, Attila Cangi
Training-free hyperparameter optimization of neural networks for electronic structures in matter. Mach. Learn. Sci. Technol. 3 (4) (2022)
Ichitaro Yamazaki, Christian A. Glusa, Jennifer A. Loe, Piotr Luszczek, Sivasankaran Rajamanickam, Jack J. Dongarra
High-Performance GMRES Multi-Precision Benchmark: Design, Performance, and Challenges. PMBS@SC (2022)
Brian Kelley, Sivasankaran Rajamanickam
Parallel, Portable Algorithms for Distance-2 Maximal Independent Set and Graph Coarsening. CoRR (2022)
James Fox, Bo Zhao, Beatriz Gonzalez del Rio, Sivasankaran Rajamanickam, Rampi Ramprasad, Le Song
Concentric Spherical Neural Network for 3D Representation Learning. IJCNN (2022)
Christian R. Trott, Damien Lebrun-Grandié, Daniel Arndt, Jan Ciesko, Vinh Q. Dang, Nathan D. Ellingwood, Rahulkumar Gayatri, Evan Harvey, Daisy S. Hollman, Dan Ibanez, Nevin Liber, Jonathan R. Madsen, Jeff Miles, David Poliakoff, Amy Powell, Sivasankaran Rajamanickam, Mikael Simberg, Dan Sunderland, Bruno Turcksin, Jeremiah Wilke
Kokkos 3: Programming Model Extensions for the Exascale Era. IEEE Trans. Parallel Distributed Syst. 33 (4) (2022)
Abdurrahman Yasar, Sivasankaran Rajamanickam, Jonathan W. Berry, Ümit V. Çatalyürek
PGAbB: A Block-Based Graph Processing Framework for Heterogeneous Platforms. CoRR (2022)
James Fox, Bo Zhao, Sivasankaran Rajamanickam, Rampi Ramprasad, Le Song
Concentric Spherical GNN for 3D Representation Learning. CoRR (2021)
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 (2021)
Ian Bogle, Erik G. Boman, Karen D. Devine, Sivasankaran Rajamanickam, George M. Slota
Parallel Graph Coloring Algorithms for Distributed GPU Environments. CoRR (2021)
Seher Acer, Erik G. Boman, Christian A. Glusa, Sivasankaran Rajamanickam
Sphynx: a parallel multi-GPU graph partitioner for distributed-memory systems. CoRR (2021)
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 (2021)
Jennifer A. Loe, Christian A. Glusa, Ichitaro Yamazaki, Erik G. Boman, Sivasankaran Rajamanickam
A Study of Mixed Precision Strategies for GMRES on GPUs. CoRR (2021)
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 (2021)
Seher Acer, Ariful Azad, Erik G. Boman, Aydin Buluç, Karen D. Devine, S. M. Ferdous, Nitin Gawande, Sayan Ghosh, Mahantesh Halappanavar, Ananth Kalyanaraman, Arif Khan, Marco Minutoli, Alex Pothen, Sivasankaran Rajamanickam, Oguz Selvitopi, Nathan R. Tallent, Antonino Tumeo
EXAGRAPH: Graph and combinatorial methods for enabling exascale applications. Int. J. High Perform. Comput. Appl. 35 (6) (2021)
Christian Trott, Luc Berger-Vergiat, David Poliakoff, Sivasankaran Rajamanickam, Damien Lebrun-Grandié, Jonathan R. Madsen, Nader Al Awar, Milos Gligoric, Galen M. Shipman, Geoff Womeldorff
The Kokkos EcoSystem: Comprehensive Performance Portability for High Performance Computing. Comput. Sci. Eng. 23 (5) (2021)
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)
Michael S. Gilbert, Seher Acer, Erik G. Boman, Kamesh Madduri, Sivasankaran Rajamanickam
Performance-Portable Graph Coarsening for Efficient Multilevel Graph Analysis. IPDPS (2021)
Francis J. Alexander, James Ang, Jenna A. Bilbrey, Jan Balewski, Tiernan Casey, Ryan Chard, Jong Choi, Sutanay Choudhury, Bert J. Debusschere, Anthony M. DeGennaro, Nikoli Dryden, J. Austin Ellis, Ian T. Foster, Cristina Garcia-Cardona, Sayan Ghosh, Peter Harrington, Yunzhi Huang, Shantenu Jha, Travis Johnston, Ai Kagawa, Ramakrishnan Kannan, Neeraj Kumar, Zhengchun Liu, Naoya Maruyama, Satoshi Matsuoka, Erin McCarthy, Jamaludin Mohd-Yusof, Peter Nugent, Yosuke Oyama, Thomas Proffen, David Pugmire, Sivasankaran Rajamanickam, Vinay Ramakrishniah, Malachi Schram, Sudip K. Seal, Ganesh Sivaraman, Christine Sweeney, Li Tan, Rajeev Thakur, Brian Van Essen, Logan T. Ward, Paul M. Welch, Michael Wolf, Sotiris S. Xantheas, Kevin G. Yager, Shinjae Yoo, Byung-Jun Yoon
Co-design Center for Exascale Machine Learning Technologies (ExaLearn). Int. J. High Perform. Comput. Appl. 35 (6) (2021)
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 (2021)
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 (2021)
Seher Acer, Erik G. Boman, Christian A. Glusa, Sivasankaran Rajamanickam
Sphynx: A parallel multi-GPU graph partitioner for distributed-memory systems. Parallel Comput. 106 (2021)
Jennifer A. Loe, Christian A. Glusa, Ichitaro Yamazaki, Erik G. Boman, Sivasankaran Rajamanickam
Experimental Evaluation of Multiprecision Strategies for GMRES on GPUs. CoRR (2021)
Gordon Euhyun Moon, Hyoukjun Kwon, Geonhwa Jeong, Prasanth Chatarasi, Sivasankaran Rajamanickam, Tushar Krishna
Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication. CoRR (2021)
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. IPDPS (2021)
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)
Ichitaro Yamazaki, Sivasankaran Rajamanickam, Nathan D. Ellingwood
Performance Portable Supernode-based Sparse Triangular Solver for Manycore Architectures. ICPP (2020)
Christian A. Glusa, Erik G. Boman, Edmond Chow, Sivasankaran Rajamanickam, Daniel B. Szyld
Scalable Asynchronous Domain Decomposition Solvers. SIAM J. Sci. Comput. 42 (6) (2020)
George M. Slota, Cameron Root, Karen D. Devine, Kamesh Madduri, Sivasankaran Rajamanickam
Scalable, Multi-Constraint, Complex-Objective Graph Partitioning. IEEE Trans. Parallel Distributed Syst. 31 (12) (2020)
Abdurrahman Yasar, Sivasankaran Rajamanickam, Jonathan W. Berry, Ümit V. Çatalyürek
A Block-Based Triangle Counting Algorithm on Heterogeneous Environments. CoRR (2020)
Seher Acer, Erik G. Boman, Sivasankaran Rajamanickam
SPHYNX: Spectral Partitioning for HYbrid aNd aXelerator-enabled systems. IPDPS Workshops (2020)
Ahmad Abdelfattah, Hartwig Anzt, Erik G. Boman, Erin C. Carson, Terry Cojean, Jack J. Dongarra, Mark Gates, Thomas Grützmacher, Nicholas J. Higham, Xiaoye Sherry Li, Neil Lindquist, Yang Liu, Jennifer A. Loe, Piotr Luszczek, Pratik Nayak, Srikara Pranesh, Sivasankaran Rajamanickam, Tobias Ribizel, Barry Smith, Kasia Swirydowicz, Stephen J. Thomas, Stanimire Tomov, Yaohung M. Tsai, Ichitaro Yamazaki, Ulrike Meier Yang
A Survey of Numerical Methods Utilizing Mixed Precision Arithmetic. CoRR (2020)
Vinh Q. Dang, Joseph D. Kotulski, Sivasankaran Rajamanickam
ADELUS: A Performance-Portable Dense LU Solver for Distributed-Memory Hardware-Accelerated Systems. WACCPD@SC (2020)
Luca Bertagna, Oksana Guba, Mark A. Taylor, James G. Foucar, Jeff Larkin, Andrew M. Bradley, Sivasankaran Rajamanickam, Andrew G. Salinger
A performance-portable nonhydrostatic atmospheric dycore for the energy exascale earth system model running at cloud-resolving resolutions. SC (2020)
Ian Bogle, Erik G. Boman, Karen D. Devine, Sivasankaran Rajamanickam, George M. Slota
Distributed Memory Graph Coloring Algorithms for Multiple GPUs. IA3@SC (2020)
J. Austin Ellis, Attila Cangi, Normand A. Modine, J. Adam Stephens, Aidan P. Thompson, Sivasankaran Rajamanickam
Accelerating Finite-temperature Kohn-Sham Density Functional Theory with Deep Neural Networks. CoRR (2020)
Léopold Cambier, Chao Chen, Erik G. Boman, Sivasankaran Rajamanickam, Raymond S. Tuminaro, Eric Darve
An Algebraic Sparsified Nested Dissection Algorithm Using Low-Rank Approximations. SIAM J. Matrix Anal. Appl. 41 (2) (2020)
J. Austin Ellis, Sivasankaran Rajamanickam
Scalable Inference for Sparse Deep Neural Networks using Kokkos Kernels. HPEC (2019)
Chao Chen, Léopold Cambier, Erik G. Boman, Sivasankaran Rajamanickam, Raymond S. Tuminaro, Eric Darve
A robust hierarchical solver for ill-conditioned systems with applications to ice sheet modeling. J. Comput. Phys. 396 (2019)
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)
Seher Acer, Abdurrahman Yasar, Sivasankaran Rajamanickam, Michael M. Wolf, Ümit V. Çatalyürek
Scalable Triangle Counting on Distributed-Memory Systems. HPEC (2019)
Mehmet Deveci, Karen D. Devine, Kevin T. Pedretti, Mark A. Taylor, Sivasankaran Rajamanickam, Ümit V. Çatalyürek
Geometric Mapping of Tasks to Processors on Parallel Computers with Mesh or Torus Networks. IEEE Trans. Parallel Distributed Syst. 30 (9) (2019)
James Fox, Sivasankaran Rajamanickam
How Robust Are Graph Neural Networks to Structural Noise? CoRR (2019)
George M. Slota, Jonathan W. Berry, Simon D. Hammond, Stephen L. Olivier, Cynthia A. Phillips, Sivasankaran Rajamanickam
Scalable generation of graphs for benchmarking HPC community-detection algorithms. SC (2019)
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)
Damodar Sahasrabudhe, Eric T. Phipps, Sivasankaran Rajamanickam, Martin Berzins
A Portable SIMD Primitive Using Kokkos for Heterogeneous Architectures. WACCPD@SC (2019)
Kyungjoo Kim, H. Carter Edwards, Sivasankaran Rajamanickam
Tacho: Memory-Scalable Task Parallel Sparse Cholesky Factorization. IPDPS Workshops (2018)
Mehmet Deveci, Simon D. Hammond, Michael M. Wolf, Sivasankaran Rajamanickam
Sparse Matrix-Matrix Multiplication on Multilevel Memory Architectures : Algorithms and Experiments. CoRR (2018)
Marta D'Elia, H. Carter Edwards, Jonathan J. Hu, Eric T. Phipps, Sivasankaran Rajamanickam
Ensemble Grouping Strategies for Embedded Stochastic Collocation Methods Applied to Anisotropic Diffusion Problems. SIAM/ASA J. Uncertain. Quantification 6 (1) (2018)
Mehmet Deveci, Christian Trott, Sivasankaran Rajamanickam
Multithreaded sparse matrix-matrix multiplication for many-core and GPU architectures. Parallel Comput. 78 (2018)
Christian A. Glusa, Paritosh Ramanan, Erik G. Boman, Edmond Chow, Sivasankaran Rajamanickam
Asynchronous One-Level and Two-Level Domain Decomposition Solvers. CoRR (2018)
Abdurrahman Yasar, Sivasankaran Rajamanickam, Michael M. Wolf, Jonathan W. Berry, Ümit V. Çatalyürek
Fast Triangle Counting Using Cilk. HPEC (2018)
George M. Slota, Sivasankaran Rajamanickam
Experimental Design of Work Chunking for Graph Algorithms on High Bandwidth Memory Architectures. IPDPS (2018)
Chao Chen, Hadi Pouransari, Sivasankaran Rajamanickam, Erik G. Boman, Eric Darve
A distributed-memory hierarchical solver for general sparse linear systems. Parallel Comput. 74 (2018)
Mehmet Deveci, Christian Trott, Sivasankaran Rajamanickam
Multi-threaded Sparse Matrix-Matrix Multiplication for Many-Core and GPU Architectures. CoRR (2018)
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 (2018)
George M. Slota, Sivasankaran Rajamanickam, Karen D. Devine, Kamesh Madduri
Partitioning Trillion-Edge Graphs in Minutes. IPDPS (2017)
Chao Chen, Hadi Pouransari, Sivasankaran Rajamanickam, Erik G. Boman, Eric Darve
A distributed-memory hierarchical solver for general sparse linear systems. CoRR (2017)
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. SIAM J. Sci. Comput. 39 (2) (2017)
Mehmet Deveci, Christian Trott, Sivasankaran Rajamanickam
Performance-Portable Sparse Matrix-Matrix Multiplication for Many-Core Architectures. IPDPS Workshops (2017)
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 (2017)
George M. Slota, Sivasankaran Rajamanickam, Kamesh Madduri
Distributed Graph Layout for Scalable Small-world Network Analysis. CoRR (2017)
Kyungjoo Kim, Timothy B. Costa, Mehmet Deveci, Andrew M. Bradley, Simon D. Hammond, Murat Efe Guney, Sarah Knepper, Shane Story, Sivasankaran Rajamanickam
Designing vector-friendly compact BLAS and LAPACK kernels. SC (2017)
Michael M. Wolf, Mehmet Deveci, Jonathan W. Berry, Simon D. Hammond, Sivasankaran Rajamanickam
Fast linear algebra-based triangle counting with KokkosKernels. HPEC (2017)
George M. Slota, Sivasankaran Rajamanickam, Kamesh Madduri
Order or Shuffle: Empirically Evaluating Vertex Order Impact on Parallel Graph Computations. IPDPS Workshops (2017)
Timothy A. Davis, Sivasankaran Rajamanickam, Wissam M. Sid-Lakhdar
A survey of direct methods for sparse linear systems. Acta Numer. 25 (2016)
George M. Slota, Sivasankaran Rajamanickam, Karen D. Devine, Kamesh Madduri
Partitioning Trillion-edge Graphs in Minutes. CoRR (2016)
Joshua Dennis Booth, Kyungjoo Kim, Sivasankaran Rajamanickam
A Comparison of High-Level Programming Choices for Incomplete Sparse Factorization Across Different Architectures. IPDPS Workshops (2016)
George M. Slota, Kamesh Madduri, Sivasankaran Rajamanickam
Complex Network Partitioning Using Label Propagation. SIAM J. Sci. Comput. 38 (5) (2016)
Joshua Dennis Booth, Sivasankaran Rajamanickam, Heidi K. Thornquist
Basker: A Threaded Sparse LU Factorization Utilizing Hierarchical Parallelism and Data Layouts. CoRR (2016)
Kyungjoo Kim, Sivasankaran Rajamanickam, George Stelle, H. Carter Edwards, Stephen L. Olivier
Task Parallel Incomplete Cholesky Factorization using 2D Partitioned-Block Layout. CoRR (2016)
Mehmet Deveci, Erik G. Boman, Karen D. Devine, Sivasankaran Rajamanickam
Parallel Graph Coloring for Manycore Architectures. IPDPS (2016)
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) (2016)
George M. Slota, Sivasankaran Rajamanickam, Kamesh Madduri
A Case Study of Complex Graph Analysis in Distributed Memory: Implementation and Optimization. IPDPS (2016)
Joshua Dennis Booth, Sivasankaran Rajamanickam, Heidi Thornquist
Basker: A Threaded Sparse LU Factorization Utilizing Hierarchical Parallelism and Data Layouts. IPDPS Workshops (2016)
George M. Slota, Sivasankaran Rajamanickam, Kamesh Madduri
High-Performance Graph Analytics on Manycore Processors. IPDPS (2015)
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 (2015)
Ichitaro Yamazaki, Sivasankaran Rajamanickam, Erik G. Boman, Mark Hoemmen, Michael A. Heroux, Stanimire Tomov
Domain Decomposition Preconditioners for Communication-Avoiding Krylov Methods on a Hybrid CPU/GPU Cluster. SC (2014)
Mehmet Deveci, Sivasankaran Rajamanickam, Vitus J. Leung, Kevin T. Pedretti, Stephen L. Olivier, David P. Bunde, Ümit V. Çatalyürek, Karen D. Devine
Exploiting Geometric Partitioning in Task Mapping for Parallel Computers. IPDPS (2014)
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, Stephen Kennon
Towards Extreme-Scale Simulations with Next-Generation Trilinos: A Low Mach Fluid Application Case Study. IPDPS Workshops (2014)
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)
George M. Slota, Kamesh Madduri, Sivasankaran Rajamanickam
PuLP: Scalable multi-objective multi-constraint partitioning for small-world networks. IEEE BigData (2014)
George M. Slota, Sivasankaran Rajamanickam, Kamesh Madduri
BFS and Coloring-Based Parallel Algorithms for Strongly Connected Components and Related Problems. IPDPS (2014)
Vladimir Ufimtsev, Sanjukta Bhowmick, Sivasankaran Rajamanickam
Building blocks for graph based network analysis. HPEC (2014)
Heidi K. Thornquist, Sivasankaran Rajamanickam
A Hybrid Approach for Parallel Transistor-Level Full-Chip Circuit Simulation. VECPAR (2014)
Heidi Thornquist, Eric R. Keiter, Sivasankaran Rajamanickam
Electrical modeling and simulation for stockpile stewardship. XRDS 19 (3) (2013)
Erik G. Boman, Karen D. Devine, Sivasankaran Rajamanickam
Scalable matrix computations on large scale-free graphs using 2D graph partitioning. SC (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Sivasankaran Rajamanickam