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Performance Portable Batched Sparse Linear Solvers
Kim Liegeois, Sivasankaran Rajamanickam, Luc Berger-Vergiat
Training-free hyperparameter optimization of neural networks for electronic structures in matter
Lenz Fiedler, Nils Hoffmann, Parvez Mohammed, Gabriel A. Popoola, Tamar Yovell, Vladyslav Oles, J. Austin Ellis, Sivasankaran Rajamanickam, Attila Cangi
Parallel graph coloring algorithms for distributed GPU environments
Ian Bogle, George M Slota, Erik G Boman, Karen Devine, Sivasankaran Rajamanickam
FROSch Preconditioners for Land Ice Simulations of Greenland and Antarctica
Alexander Heinlein, Mauro Perego, Sivasankaran Rajamanickam
Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication
Gordon Moon, Hyoukjun Kwon, Geonhwa Jeong, Prashanth Chatarasi, Sivasankaran Rajamanickam, Tushar Krishna
A Block-Based Triangle Counting Algorithm on Heterogeneous Environments
Abdurrahman Yaşar, Sivasankaran Rajamanickam, Jonathan W Berry, Ümit V Catalyürek
A survey of numerical methods utilizing mixed precision arithmetic
Ahmad Abdelfattah, Hartwig Anzt, Erik G Boman, Erin Carson, Terry Cojean, Jack Dongarra, Alyson Fox, Mark Gates, Nicholas J Higham, Xiaoye Li, others
Accelerating finite-temperature Kohn-Sham density functional theory with deep neural networks
J Austin Ellis, Lenz Fiedler, Gabriel A Popoola, Normand A Modine, J Adam Stephens, Aidan P Thompson, Attila Cangi, Sivasankaran Rajamanickam
Co-design center for exascale machine learning technologies (ExaLearn)
Francis J Alexander, James Ang, Jenna A Bilbrey, Jan Balewski, Tiernan Casey, Ryan Chard, Jong Choi, Sutanay Choudhury, Bert Debusschere, Anthony M DeGennaro, others
EXAGRAPH: Graph and combinatorial methods for enabling exascale applications
Seher Acer, Ariful Azad, Erik G Boman, Aydın Buluç, Karen D Devine, SM Ferdous, Nitin Gawande, Sayan Ghosh, Mahantesh Halappanavar, Ananth Kalyanaraman, others
Kokkos 3: Programming model extensions for the exascale era
Christian R Trott, Damien Lebrun-Grandie, Daniel Arndt, Jan Ciesko, Vinh Dang, Nathan Ellingwood, Rahulkumar Gayatri, Evan Harvey, Daisy S Hollman, Dan Ibanez, others
Sphynx: A parallel multi-GPU graph partitioner for distributed-memory systems
Seher Acer, Erik G Boman, Christian A Glusa, Sivasankaran Rajamanickam
The Kokkos EcoSystem: Comprehensive Performance Portability For High Performance Computing
Christian R Trott, Luc Berger-Vergiat, David Poliakoff, Sivasankaran Rajamanickam, Damien Lebrun-Grandie, Jonathan Madsen, Nader Al Awar, Milos Gligoric, Galen Shipman, Geoff Womeldorff
An algebraic sparsified nested dissection algorithm using low-rank approximations
Léopold Cambier, Chao Chen, Erik G Boman, Sivasankaran Rajamanickam, Raymond S Tuminaro, Eric Darve
Preparing sparse solvers for exascale computing
Hartwig Anzt, Erik Boman, Rob Falgout, Pieter Ghysels, Michael Heroux, Xiaoye Li, Lois Curfman McInnes, Richard Tran Mills, Sivasankaran Rajamanickam, Karl Rupp, others
Scalable asynchronous domain decomposition solvers
Christian Glusa, Erik G Boman, Edmond Chow, Sivasankaran Rajamanickam, Daniel B Szyld
Scalable, multi-constraint, complex-objective graph partitioning
George M Slota, Cameron Root, Karen Devine, Kamesh Madduri, Sivasankaran Rajamanickam
A robust hierarchical solver for ill-conditioned systems with applications to ice sheet modeling
Chao Chen, Léopold Cambier, Erik G Boman, Sivasankaran Rajamanickam, Raymond S Tuminaro, Eric Darve
Geometric Mapping of Tasks to Processors on Parallel Computers with Mesh or Torus Networks
Mehmet Deveci, Karen D Devine, Kevin Pedretti, Mark A Taylor, Sivasankaran Rajamanickam, Ümit V Catalyürek
A distributed-memory hierarchical solver for general sparse linear systems
Chao Chen, Hadi Pouransari, Sivasankaran Rajamanickam, Erik G Boman, Eric Darve
Ensemble grouping strategies for embedded stochastic collocation methods applied to anisotropic diffusion problems
Marta D'Elia, H Carter Edwards, J Hu, E Phipps, Sivasankaran Rajamanickam
Multithreaded sparse matrix-matrix multiplication for many-core and GPU architectures
Mehmet Deveci, Christian Trott, Sivasankaran Rajamanickam
Basker: Parallel sparse LU factorization utilizing hierarchical parallelism and data layouts
Joshua D Booth, Nathan D Ellingwood, Heidi K Thornquist, Sivasankaran Rajamanickam
Embedded ensemble propagation for improving performance, portability, and scalability of uncertainty quantification on emerging computational architectures
Eric Phipps, Marta D'Elia, H Carter Edwards, Mark Hoemmen, Jonathan Hu, Sivasankaran Rajamanickam
A survey of direct methods for sparse linear systems
Timothy A Davis, Sivasankaran Rajamanickam, Wissam M Sid-Lakhdar
Complex network partitioning using label propagation
George M Slota, Kamesh Madduri, Sivasankaran Rajamanickam
Multi-jagged: A scalable parallel spatial partitioning algorithm
Mehmet Deveci, Sivasankaran Rajamanickam, Karen D Devine, Ümit V Catalyürek
Towards extreme-scale simulations for low mach fluids with second-generation Trilinos
Paul Lin, Matthew Bettencourt, Stefan Domino, Travis Fisher, Mark Hoemmen, Jonathan Hu, Eric Phipps, Andrey Prokopenko, Sivasankaran Rajamanickam, Christopher Siefert, others
Electrical modeling and simulation for stockpile stewardship
Heidi K Thornquist, Eric R Keiter, Sivasankaran Rajamanickam
Amesos2 and Belos: Direct and iterative solvers for large sparse linear systems
Eric Bavier, Mark Hoemmen, Sivasankaran Rajamanickam, Heidi Thornquist
Parallel partitioning with zoltan: Is hypergraph partitioning worth it?
Sivasankaran Rajamanickam, Erik G Boman
Algorithm 887: CHOLMOD, supernodal sparse Cholesky factorization and update/downdate
Yanqing Chen, Timothy A Davis, William W Hager, Sivasankaran Rajamanickam