Sivasankaran Rajamanickam

125 papers A 21B 4Journal 70Unranked 27
YearRankTypeTitle / Venue / Authors
2026 — conf
Beyond Exascale: Dataflow Domain Translation on a Cerebras Cluster.
SCA/HPC Asia
Tomas Oppelstrup, Nicholas Giamblanco, Delyan Z. Kalchev, Ilya Sharapov, Mark Taylor, Dirk Van Essendelft, Sivasankaran Rajamanickam, Michael James
2026 J jnl
ShyLU-node: On-node scalable solvers and preconditioners: Recent progress and current performance.
Parallel Comput.
Ichitaro Yamazaki, Nathan D. Ellingwood, Sivasankaran Rajamanickam
2025 J jnl
A Performance Portable Matrix Free Dense MTTKRP in GenTen.
CoRR
Gabriel Kosmacher, Eric T. Phipps, Sivasankaran Rajamanickam
2025 J jnl
Beyond Exascale: Dataflow Domain Translation on a Cerebras Cluster.
CoRR
Tomas Oppelstrup, Nicholas Giamblanco, Delyan Z. Kalchev, Ilya Sharapov, Mark Taylor, Dirk Van Essendelft, Sivasankaran Rajamanickam, Michael James
2025 A conf
Cello: Co-Designing Schedule and Hybrid Implicit/Explicit Buffer for Complex Tensor Reuse.
IPDPS
Raveesh Garg, Michael Pellauer, Sivasankaran Rajamanickam, Tushar Krishna
2025 — conf
Distributed Sparse Tensor Computations in MLIR.
SC Workshops
Miheer Vaidya, Shreya Singh, Devanshu Mantri, Michael Shannon Eydenberg, Brian Michael Kelley, Sivasankaran Rajamanickam, Atanas Rountev, P. Sadayappan
2025 J jnl
Do AI Models Perform Human-like Abstract Reasoning Across Modalities?
CoRR
Claas Beger, Ryan Yi, Shuhao Fu, Arseny Moskvichev, Sarah W. Tsai, Sivasankaran Rajamanickam, Melanie Mitchell
2025 — conf
Imperfect Recognition: A Study of OCR Limitations in the Context of Scientific Documents.
IPDPS (Workshops)
Chinmay Sahasrabudhe, Yang Ho, Nick Winovich, Sivasankaran Rajamanickam
2025 J jnl
LAPIS: A Performance Portable, High Productivity Compiler Framework.
CoRR
Brian Michael Kelley, Sivasankaran Rajamanickam
2025 J jnl
Materials Learning Algorithms (MALA): Scalable machine learning for electronic structure calculations in large-scale atomistic simulations.
Comput. Phys. Commun.
Attila Cangi, Lenz Fiedler, Bartosz Brzoza, Karan Shah, Timothy J. Callow, Daniel Kotik, Steve Schmerler, Matthew C. Barry, James M. Goff, Andrew Rohskopf, Dayton J. Vogel, Normand A. Modine, Aidan P. Thompson, Sivasankaran Rajamanickam
2025 J jnl
Performance Portable Gradient Computations Using Source Transformation.
CoRR
Kim Liegeois, Brian Michael Kelley, Eric T. Phipps, Sivasankaran Rajamanickam, Vassil Vassilev
2025 J jnl
ShyLU node: On-node Scalable Solvers and Preconditioners Recent Progresses and Current Performance.
CoRR
Ichitaro Yamazaki, Nathan D. Ellingwood, Sivasankaran Rajamanickam
2024 A conf
Breaking the Molecular Dynamics Timescale Barrier Using a Wafer-Scale System.
SC
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
2024 J jnl
Breaking the Molecular Dynamics Timescale Barrier Using a Wafer-Scale System.
CoRR
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
2024 J jnl
Breaking the mold: overcoming the time constraints of molecular dynamics on general-purpose hardware.
CoRR
Danny Perez, Aidan P. Thompson, Stan G. Moore, Tomas Oppelstrup, Ilya Sharapov, Kylee Santos, Amirali Sharifian, Delyan Z. Kalchev, Robert Schreiber, Scott Pakin, Edgar A. Leon, James H. Laros III, Michael James, Sivasankaran Rajamanickam
2024 J jnl
Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations.
CoRR
Attila Cangi, Lenz Fiedler, Bartosz Brzoza, Karan Shah, Timothy J. Callow, Daniel Kotik, Steve Schmerler, Matthew C. Barry, James M. Goff, Andrew Rohskopf, Dayton J. Vogel, Normand A. Modine, Aidan P. Thompson, Sivasankaran Rajamanickam
2023 J jnl
An Experimental Study of Two-Level Schwarz Domain Decomposition Preconditioners on GPUs.
CoRR
Ichitaro Yamazaki, Alexander Heinlein, Sivasankaran Rajamanickam
2023 A conf
An Experimental Study of Two-level Schwarz Domain-Decomposition Preconditioners on GPUs.
IPDPS
Ichitaro Yamazaki, Alexander Heinlein, Sivasankaran Rajamanickam
2023 J jnl
Exploiting Inter-Operation Data Reuse in Scientific Applications using GOGETA.
CoRR
Raveesh Garg, Michael Pellauer, Sivasankaran Rajamanickam, Tushar Krishna
2023 J jnl
Jet: Multilevel Graph Partitioning on GPUs.
CoRR
Michael S. Gilbert, Kamesh Madduri, Erik G. Boman, Sivasankaran Rajamanickam
2023 J jnl
Performance Portable Batched Sparse Linear Solvers.
IEEE Trans. Parallel Distributed Syst.
Kim Liegeois, Sivasankaran Rajamanickam, Luc Berger-Vergiat
2023 — conf
TenSQL: An SQL Database Built on GraphBLAS.
HPEC
Jon Roose, Miheer Vaidya, Ponnuswamy Sadayappan, Sivasankaran Rajamanickam
2022 J jnl
A Block-Based Triangle Counting Algorithm on Heterogeneous Environments.
IEEE Trans. Parallel Distributed Syst.
Abdurrahman Yasar, Sivasankaran Rajamanickam, Jonathan W. Berry, Ümit V. Çatalyürek
2022 B conf
Concentric Spherical Neural Network for 3D Representation Learning.
IJCNN
James Fox, Bo Zhao, Beatriz Gonzalez del Rio, Sivasankaran Rajamanickam, Rampi Ramprasad, Le Song
2022 J jnl
Enabling Flexibility for Sparse Tensor Acceleration via Heterogeneity.
CoRR
Eric Qin, Raveesh Garg, Abhimanyu Bambhaniya, Michael Pellauer, Angshuman Parashar, Sivasankaran Rajamanickam, Cong Hao, Tushar Krishna
2022 J jnl
Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication.
IEEE Trans. Parallel Distributed Syst.
Gordon Euhyun Moon, Hyoukjun Kwon, Geonhwa Jeong, Prasanth Chatarasi, Sivasankaran Rajamanickam, Tushar Krishna
2022 J jnl
FROSch Preconditioners for Land Ice Simulations of Greenland and Antarctica.
SIAM J. Sci. Comput.
Alexander Heinlein, Mauro Perego, Sivasankaran Rajamanickam
2022 — conf
High-Performance GMRES Multi-Precision Benchmark: Design, Performance, and Challenges.
PMBS@SC
Ichitaro Yamazaki, Christian Glusa, Jennifer A. Loe, Piotr Luszczek, Sivasankaran Rajamanickam, Jack J. Dongarra
2022 J jnl
Kokkos 3: Programming Model Extensions for the Exascale Era.
IEEE Trans. Parallel Distributed Syst.
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 J. Wilke
2022 — ch.
Multicore Algorithms for Graph Connectivity Problems.
Massive Graph Analytics
George M. Slota, Sivasankaran Rajamanickam, Kamesh Madduri
2022 J jnl
PGAbB: A Block-Based Graph Processing Framework for Heterogeneous Platforms.
CoRR
Abdurrahman Yasar, Sivasankaran Rajamanickam, Jonathan W. Berry, Ümit V. Çatalyürek
2022 J jnl
Parallel graph coloring algorithms for distributed GPU environments.
Parallel Comput.
Ian Bogle, George M. Slota, Erik G. Boman, Karen D. Devine, Sivasankaran Rajamanickam
2022 A conf
Parallel, Portable Algorithms for Distance-2 Maximal Independent Set and Graph Coarsening.
IPDPS
Brian Michael Kelley, Sivasankaran Rajamanickam
2022 J jnl
Parallel, Portable Algorithms for Distance-2 Maximal Independent Set and Graph Coarsening.
CoRR
Brian Michael Kelley, Sivasankaran Rajamanickam
2022 — ch.
Partitioning Trillion-Edge Graphs.
Massive Graph Analytics
George M. Slota, Karen D. Devine, Kamesh Madduri, Sivasankaran Rajamanickam
2022 J jnl
Training-free hyperparameter optimization of neural networks for electronic structures in matter.
Mach. Learn. Sci. Technol.
Lenz Fiedler, Nils Hoffmann, Parvez Mohammed, Gabriel A. Popoola, Tamar Yovell, Vladyslav Oles, J. Austin Ellis, Sivasankaran Rajamanickam, Attila Cangi
2022 A conf
Understanding the Design-Space of Sparse/Dense Multiphase GNN dataflows on Spatial Accelerators.
IPDPS
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
2021 J jnl
A Study of Mixed Precision Strategies for GMRES on GPUs.
CoRR
Jennifer A. Loe, Christian A. Glusa, Ichitaro Yamazaki, Erik G. Boman, Sivasankaran Rajamanickam
2021 J jnl
A Taxonomy for Classification and Comparison of Dataflows for GNN Accelerators.
CoRR
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
2021 J jnl
Co-design Center for Exascale Machine Learning Technologies (ExaLearn).
Int. J. High Perform. Comput. Appl.
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 Ramakrishnaiah, 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
2021 J jnl
Concentric Spherical GNN for 3D Representation Learning.
CoRR
James Fox, Bo Zhao, Sivasankaran Rajamanickam, Rampi Ramprasad, Le Song
2021 J jnl
EXAGRAPH: Graph and combinatorial methods for enabling exascale applications.
Int. J. High Perform. Comput. Appl.
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
2021 J jnl
Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication.
CoRR
Gordon Euhyun Moon, Hyoukjun Kwon, Geonhwa Jeong, Prasanth Chatarasi, Sivasankaran Rajamanickam, Tushar Krishna
2021 — conf
Experimental Evaluation of Multiprecision Strategies for GMRES on GPUs.
IPDPS Workshops
Jennifer A. Loe, Christian A. Glusa, Ichitaro Yamazaki, Erik G. Boman, Sivasankaran Rajamanickam
2021 J jnl
Experimental Evaluation of Multiprecision Strategies for GMRES on GPUs.
CoRR
Jennifer A. Loe, Christian A. Glusa, Ichitaro Yamazaki, Erik G. Boman, Sivasankaran Rajamanickam
2021 A conf
Extending Sparse Tensor Accelerators to Support Multiple Compression Formats.
IPDPS
Eric Qin, Geonhwa Jeong, William Won, Sheng-Chun Kao, Hyoukjun Kwon, Sudarshan Srinivasan, Dipankar Das, Gordon Euhyun Moon, Sivasankaran Rajamanickam, Tushar Krishna
2021 J jnl
Extending Sparse Tensor Accelerators to Support Multiple Compression Formats.
CoRR
Eric Qin, Geonhwa Jeong, William Won, Sheng-Chun Kao, Hyoukjun Kwon, Sudarshan Srinivasan, Dipankar Das, Gordon Euhyun Moon, Sivasankaran Rajamanickam, Tushar Krishna
2021 J jnl
Kokkos Kernels: Performance Portable Sparse/Dense Linear Algebra and Graph Kernels.
CoRR
Sivasankaran Rajamanickam, Seher Acer, Luc Berger-Vergiat, Vinh Q. Dang, Nathan D. Ellingwood, Evan Harvey, Brian Michael Kelley, Christian R. Trott, Jeremiah J. Wilke, Ichitaro Yamazaki
2021 J jnl
Parallel Graph Coloring Algorithms for Distributed GPU Environments.
CoRR
Ian Bogle, Erik G. Boman, Karen D. Devine, Sivasankaran Rajamanickam, George M. Slota
2021 A conf
Performance-Portable Graph Coarsening for Efficient Multilevel Graph Analysis.
IPDPS
Michael S. Gilbert, Seher Acer, Erik G. Boman, Kamesh Madduri, Sivasankaran Rajamanickam
2021 J jnl
Sphynx: A parallel multi-GPU graph partitioner for distributed-memory systems.
Parallel Comput.
Seher Acer, Erik G. Boman, Christian A. Glusa, Sivasankaran Rajamanickam
2021 J jnl
Sphynx: a parallel multi-GPU graph partitioner for distributed-memory systems.
CoRR
Seher Acer, Erik G. Boman, Christian A. Glusa, Sivasankaran Rajamanickam
2021 J jnl
The Kokkos EcoSystem: Comprehensive Performance Portability for High Performance Computing.
Comput. Sci. Eng.
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
2021 J jnl
Two-Stage Gauss-Seidel Preconditioners and Smoothers for Krylov Solvers on a GPU cluster.
CoRR
Luc Berger-Vergiat, Brian Michael Kelley, Sivasankaran Rajamanickam, Jonathan J. Hu, Katarzyna Swirydowicz, Paul Mullowney, Stephen J. Thomas, Ichitaro Yamazaki
2021 B conf
Union: A Unified HW-SW Co-Design Ecosystem in MLIR for Evaluating Tensor Operations on Spatial Accelerators.
PACT
Geonhwa Jeong, Gokcen Kestor, Prasanth Chatarasi, Angshuman Parashar, Po-An Tsai, Sivasankaran Rajamanickam, Roberto Gioiosa, Tushar Krishna
2021 J jnl
Union: A Unified HW-SW Co-Design Ecosystem in MLIR for Evaluating Tensor Operations on Spatial Accelerators.
CoRR
Geonhwa Jeong, Gokcen Kestor, Prasanth Chatarasi, Angshuman Parashar, Po-An Tsai, Sivasankaran Rajamanickam, Roberto Gioiosa, Tushar Krishna
2020 J jnl
A Block-Based Triangle Counting Algorithm on Heterogeneous Environments.
CoRR
Abdurrahman Yasar, Sivasankaran Rajamanickam, Jonathan W. Berry, Ümit V. Çatalyürek
2020 J jnl
A Survey of Numerical Methods Utilizing Mixed Precision Arithmetic.
CoRR
Ahmad Abdelfattah, Hartwig Anzt, Erik G. Boman, Erin 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
2020 A conf
A performance-portable nonhydrostatic atmospheric dycore for the energy exascale earth system model running at cloud-resolving resolutions.
SC
Luca Bertagna, Oksana Guba, Mark A. Taylor, James G. Foucar, Jeff Larkin, Andrew M. Bradley, Sivasankaran Rajamanickam, Andrew G. Salinger
2020 — conf
ADELUS: A Performance-Portable Dense LU Solver for Distributed-Memory Hardware-Accelerated Systems.
WACCPD@SC
Vinh Q. Dang, Joseph D. Kotulski, Sivasankaran Rajamanickam
2020 J jnl
Accelerating Finite-temperature Kohn-Sham Density Functional Theory with Deep Neural Networks.
CoRR
J. Austin Ellis, Attila Cangi, Normand A. Modine, J. Adam Stephens, Aidan P. Thompson, Sivasankaran Rajamanickam
2020 J jnl
An Algebraic Sparsified Nested Dissection Algorithm Using Low-Rank Approximations.
SIAM J. Matrix Anal. Appl.
Léopold Cambier, Chao Chen, Erik G. Boman, Sivasankaran Rajamanickam, Raymond S. Tuminaro, Eric Darve
2020 — conf
Distributed Memory Graph Coloring Algorithms for Multiple GPUs.
IA3@SC
Ian Bogle, Erik G. Boman, Karen D. Devine, Sivasankaran Rajamanickam, George M. Slota
2020 B conf
Performance Portable Supernode-based Sparse Triangular Solver for Manycore Architectures.
ICPP
Ichitaro Yamazaki, Sivasankaran Rajamanickam, Nathan D. Ellingwood
2020 — ed.
Proceedings of the SIAM Workshop on Combinatorial Scientific Computing, CSC 2020, Seattle, USA, February 11-13, 2020.
CSC
H. Martin Bücker, Xiaoye Sherry Li, Sivasankaran Rajamanickam
2020 — conf
SPHYNX: Spectral Partitioning for HYbrid aNd aXelerator-enabled systems.
IPDPS Workshops
Seher Acer, Erik G. Boman, Sivasankaran Rajamanickam
2020 J jnl
Scalable Asynchronous Domain Decomposition Solvers.
SIAM J. Sci. Comput.
Christian Glusa, Erik G. Boman, Edmond Chow, Sivasankaran Rajamanickam, Daniel B. Szyld
2020 J jnl
Scalable, Multi-Constraint, Complex-Objective Graph Partitioning.
IEEE Trans. Parallel Distributed Syst.
George M. Slota, Cameron Root, Karen D. Devine, Kamesh Madduri, Sivasankaran Rajamanickam
2019 B conf
A Parallel Graph Algorithm for Detecting Mesh Singularities in Distributed Memory Ice Sheet Simulations.
ICPP
Ian Bogle, Karen D. Devine, Mauro Perego, Sivasankaran Rajamanickam, George M. Slota
2019 — conf
A Portable SIMD Primitive Using Kokkos for Heterogeneous Architectures.
WACCPD@SC
Damodar Sahasrabudhe, Eric T. Phipps, Sivasankaran Rajamanickam, Martin Berzins
2019 J jnl
A robust hierarchical solver for ill-conditioned systems with applications to ice sheet modeling.
J. Comput. Phys.
Chao Chen, Léopold Cambier, Erik G. Boman, Sivasankaran Rajamanickam, Raymond S. Tuminaro, Eric Darve
2019 J jnl
Geometric Mapping of Tasks to Processors on Parallel Computers with Mesh or Torus Networks.
IEEE Trans. Parallel Distributed Syst.
Mehmet Deveci, Karen D. Devine, Kevin T. Pedretti, Mark A. Taylor, Sivasankaran Rajamanickam, Ümit V. Çatalyürek
2019 J jnl
How Robust Are Graph Neural Networks to Structural Noise?
CoRR
James Fox, Sivasankaran Rajamanickam
2019 — conf
Linear Algebra-Based Triangle Counting via Fine-Grained Tasking on Heterogeneous Environments : (Update on Static Graph Challenge).
HPEC
Abdurrahman Yasar, Sivasankaran Rajamanickam, Jonathan W. Berry, Michael M. Wolf, Jeffrey S. Young, Ümit V. Çatalyürek
2019 — conf
Scalable Inference for Sparse Deep Neural Networks using Kokkos Kernels.
HPEC
J. Austin Ellis, Sivasankaran Rajamanickam
2019 — conf
Scalable Triangle Counting on Distributed-Memory Systems.
HPEC
Seher Acer, Abdurrahman Yasar, Sivasankaran Rajamanickam, Michael M. Wolf, Ümit V. Çatalyürek
2019 A conf
Scalable generation of graphs for benchmarking HPC community-detection algorithms.
SC
George M. Slota, Jonathan W. Berry, Simon D. Hammond, Stephen L. Olivier, Cynthia A. Phillips, Sivasankaran Rajamanickam
2018 J jnl
A distributed-memory hierarchical solver for general sparse linear systems.
Parallel Comput.
Chao Chen, Hadi Pouransari, Sivasankaran Rajamanickam, Erik G. Boman, Eric Darve
2018 J jnl
Asynchronous One-Level and Two-Level Domain Decomposition Solvers.
CoRR
Christian A. Glusa, Paritosh Ramanan, Erik G. Boman, Edmond Chow, Sivasankaran Rajamanickam
2018 J jnl
Ensemble Grouping Strategies for Embedded Stochastic Collocation Methods Applied to Anisotropic Diffusion Problems.
SIAM/ASA J. Uncertain. Quantification
Marta D'Elia, H. Carter Edwards, Jonathan J. Hu, Eric T. Phipps, Sivasankaran Rajamanickam
2018 A conf
Experimental Design of Work Chunking for Graph Algorithms on High Bandwidth Memory Architectures.
IPDPS
George M. Slota, Sivasankaran Rajamanickam
2018 — conf
Fast Triangle Counting Using Cilk.
HPEC
Abdurrahman Yasar, Sivasankaran Rajamanickam, Michael M. Wolf, Jonathan W. Berry, Ümit V. Çatalyürek
2018 J jnl
Geometric Partitioning and Ordering Strategies for Task Mapping on Parallel Computers.
CoRR
Mehmet Deveci, Karen D. Devine, Kevin T. Pedretti, Mark A. Taylor, Sivasankaran Rajamanickam, Ümit V. Çatalyürek
2018 J jnl
Multi-threaded Sparse Matrix-Matrix Multiplication for Many-Core and GPU Architectures.
CoRR
Mehmet Deveci, Christian Trott, Sivasankaran Rajamanickam
2018 J jnl
Multithreaded sparse matrix-matrix multiplication for many-core and GPU architectures.
Parallel Comput.
Mehmet Deveci, Christian Trott, Sivasankaran Rajamanickam
2018 J jnl
Sparse Matrix-Matrix Multiplication on Multilevel Memory Architectures : Algorithms and Experiments.
CoRR
Mehmet Deveci, Simon D. Hammond, Michael M. Wolf, Sivasankaran Rajamanickam
2018 — conf
Tacho: Memory-Scalable Task Parallel Sparse Cholesky Factorization.
IPDPS Workshops
Kyungjoo Kim, H. Carter Edwards, Sivasankaran Rajamanickam
2017 J jnl
A distributed-memory hierarchical solver for general sparse linear systems.
CoRR
Chao Chen, Hadi Pouransari, Sivasankaran Rajamanickam, Erik G. Boman, Eric Darve
2017 J jnl
Basker: Parallel sparse LU factorization utilizing hierarchical parallelism and data layouts.
Parallel Comput.
Joshua Dennis Booth, Nathan D. Ellingwood, Heidi K. Thornquist, Sivasankaran Rajamanickam
2017 A conf
Designing vector-friendly compact BLAS and LAPACK kernels.
SC
Kyungjoo Kim, Timothy B. Costa, Mehmet Deveci, Andrew M. Bradley, Simon D. Hammond, Murat Efe Guney, Sarah Knepper, Shane Story, Sivasankaran Rajamanickam
2017 J jnl
Distributed Graph Layout for Scalable Small-world Network Analysis.
CoRR
George M. Slota, Sivasankaran Rajamanickam, Kamesh Madduri
2017 J jnl
Embedded Ensemble Propagation for Improving Performance, Portability, and Scalability of Uncertainty Quantification on Emerging Computational Architectures.
SIAM J. Sci. Comput.
Eric T. Phipps, Marta D'Elia, H. Carter Edwards, Mark Hoemmen, Jonathan J. Hu, Sivasankaran Rajamanickam
2017 — conf
Fast linear algebra-based triangle counting with KokkosKernels.
HPEC
Michael M. Wolf, Mehmet Deveci, Jonathan W. Berry, Simon D. Hammond, Sivasankaran Rajamanickam
2017 — conf
Order or Shuffle: Empirically Evaluating Vertex Order Impact on Parallel Graph Computations.
IPDPS Workshops
George M. Slota, Sivasankaran Rajamanickam, Kamesh Madduri
2017 A conf
Partitioning Trillion-Edge Graphs in Minutes.
IPDPS
George M. Slota, Sivasankaran Rajamanickam, Karen D. Devine, Kamesh Madduri
2017 — conf
Performance-Portable Sparse Matrix-Matrix Multiplication for Many-Core Architectures.
IPDPS Workshops
Mehmet Deveci, Christian Trott, Sivasankaran Rajamanickam
2016 A conf
A Case Study of Complex Graph Analysis in Distributed Memory: Implementation and Optimization.
IPDPS
George M. Slota, Sivasankaran Rajamanickam, Kamesh Madduri
2016 — conf
A Comparison of High-Level Programming Choices for Incomplete Sparse Factorization Across Different Architectures.
IPDPS Workshops
Joshua Dennis Booth, Kyungjoo Kim, Sivasankaran Rajamanickam
2016 J jnl
A survey of direct methods for sparse linear systems.
Acta Numer.
Timothy A. Davis, Sivasankaran Rajamanickam, Wissam M. Sid-Lakhdar
2016 — conf
Basker: A Threaded Sparse LU Factorization Utilizing Hierarchical Parallelism and Data Layouts.
IPDPS Workshops
Joshua Dennis Booth, Sivasankaran Rajamanickam, Heidi Thornquist
2016 J jnl
Basker: A Threaded Sparse LU Factorization Utilizing Hierarchical Parallelism and Data Layouts.
CoRR
Joshua Dennis Booth, Sivasankaran Rajamanickam, Heidi K. Thornquist
2016 J jnl
Complex Network Partitioning Using Label Propagation.
SIAM J. Sci. Comput.
George M. Slota, Kamesh Madduri, Sivasankaran Rajamanickam
2016 J jnl
Multi-Jagged: A Scalable Parallel Spatial Partitioning Algorithm.
IEEE Trans. Parallel Distributed Syst.
Mehmet Deveci, Sivasankaran Rajamanickam, Karen D. Devine, Ümit V. Çatalyürek
2016 A conf
Parallel Graph Coloring for Manycore Architectures.
IPDPS
Mehmet Deveci, Erik G. Boman, Karen D. Devine, Sivasankaran Rajamanickam
2016 J jnl
Partitioning Trillion-edge Graphs in Minutes.
CoRR
George M. Slota, Sivasankaran Rajamanickam, Karen D. Devine, Kamesh Madduri
2016 J jnl
Task Parallel Incomplete Cholesky Factorization using 2D Partitioned-Block Layout.
CoRR
Kyungjoo Kim, Sivasankaran Rajamanickam, George Stelle, H. Carter Edwards, Stephen L. Olivier
2015 J jnl
Embedded Ensemble Propagation for Improving Performance, Portability and Scalability of Uncertainty Quantification on Emerging Computational Architectures.
CoRR
Eric T. Phipps, Marta D'Elia, H. Carter Edwards, Mark Hoemmen, Jonathan J. Hu, Sivasankaran Rajamanickam
2015 A conf
High-Performance Graph Analytics on Manycore Processors.
IPDPS
George M. Slota, Sivasankaran Rajamanickam, Kamesh Madduri
2014 — conf
A Hybrid Approach for Parallel Transistor-Level Full-Chip Circuit Simulation.
VECPAR
Heidi K. Thornquist, Sivasankaran Rajamanickam
2014 A conf
BFS and Coloring-Based Parallel Algorithms for Strongly Connected Components and Related Problems.
IPDPS
George M. Slota, Sivasankaran Rajamanickam, Kamesh Madduri
2014 — conf
Building blocks for graph based network analysis.
HPEC
Vladimir Ufimtsev, Sanjukta Bhowmick, Sivasankaran Rajamanickam
2014 A conf
Domain Decomposition Preconditioners for Communication-Avoiding Krylov Methods on a Hybrid CPU/GPU Cluster.
SC
Ichitaro Yamazaki, Sivasankaran Rajamanickam, Erik G. Boman, Mark Hoemmen, Michael A. Heroux, Stanimire Tomov
2014 A conf
Exploiting Geometric Partitioning in Task Mapping for Parallel Computers.
IPDPS
Mehmet Deveci, Sivasankaran Rajamanickam, Vitus J. Leung, Kevin T. Pedretti, Stephen L. Olivier, David P. Bunde, Ümit V. Çatalyürek, Karen D. Devine
2014 — conf
PuLP: Scalable multi-objective multi-constraint partitioning for small-world networks.
IEEE BigData
George M. Slota, Kamesh Madduri, Sivasankaran Rajamanickam
2014 J jnl
Towards Extreme-Scale Simulations for Low Mach Fluids with Second-Generation Trilinos.
Parallel Process. Lett.
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
2014 — conf
Towards Extreme-Scale Simulations with Next-Generation Trilinos: A Low Mach Fluid Application Case Study.
IPDPS Workshops
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
2013 J jnl
Electrical modeling and simulation for stockpile stewardship.
XRDS
Heidi Thornquist, Eric R. Keiter, Sivasankaran Rajamanickam
2013 A conf
Scalable matrix computations on large scale-free graphs using 2D graph partitioning.
SC
Erik G. Boman, Karen D. Devine, Sivasankaran Rajamanickam
2012 J jnl
Amesos2 and Belos: Direct and iterative solvers for large sparse linear systems.
Sci. Program.
Eric Bavier, Mark Hoemmen, Sivasankaran Rajamanickam, Heidi Thornquist
2012 A conf
Multithreaded Algorithms for Maxmum Matching in Bipartite Graphs.
IPDPS
Ariful Azad, Mahantesh Halappanavar, Sivasankaran Rajamanickam, Erik G. Boman, Arif M. Khan, Alex Pothen
2012 — conf
Parallel partitioning with Zoltan: Is hypergraph partitioning worth it?
Graph Partitioning and Graph Clustering
Sivasankaran Rajamanickam, Erik G. Boman
2012 A conf
ShyLU: A Hybrid-Hybrid Solver for Multicore Platforms.
IPDPS
Sivasankaran Rajamanickam, Erik G. Boman, Michael A. Heroux
2011 — conf
Enabling Next-Generation Parallel Circuit Simulation with Trilinos.
Euro-Par Workshops (1)
Chris G. Baker, Erik G. Boman, Michael A. Heroux, Eric R. Keiter, Sivasankaran Rajamanickam, Rich Schiek, Heidi Thornquist
2011 — conf
Poster: a hybrid-hybrid solver for manycore platforms.
SC Companion
Sivasankaran Rajamanickam, Erik G. Boman, Michael A. Heroux
2008 J jnl
Algorithm 887: CHOLMOD, Supernodal Sparse Cholesky Factorization and Update/Downdate.
ACM Trans. Math. Softw.
Yanqing Chen, Timothy A. Davis, William W. Hager, Sivasankaran Rajamanickam