Publications

Can Scientific Software Development Use the Outsourcing Model Successfully

Workshop on the Science of Scientific-Software Development and Use

Sivasankaran Rajamanickam, Sivasankaran Rajamanickam

ARIAA Update -- SST

PM/PI Meeting AI/Codesign

Clayton Hughes, Rizwan Ashraf, Roberto Gioiosa, Cynthia Ann Phillips, Jonathan W. Berry, William Eugene Hart, Carl Laird, Sivasankaran Rajamanickam

Portability in Trilinos

FASTMath All hands

Sivasankaran Rajamanickam

Enabling Science Simulations with Scalable Computational Frameworks for Scientific Computing

Alphabet X

Sivasankaran Rajamanickam

Sandia / IBM Discussion on Machine Learning for Materials Applications

David John Littlewood, Mitchell Wood, David Montes de Oca Zapiain, Sivasankaran Rajamanickam, Nathaniel Albert Trask

https://www.osti.gov/search/identifier:1828106

Parallel, Portable Algorithms for Distance-2 Maximal Independent Set and Graph Coarsening

Ipdps 2022

Brian Michael Kelley, Sivasankaran Rajamanickam

Parallel, Portable Algorithms for Distance-2 Maximal Independent Set and Graph Coarsening

Ipdps 2022

Brian Michael Kelley, Sivasankaran Rajamanickam

Understanding the Design Space of Sparse/Dense Multiphase Dataflows for Mapping Graph Neural Networks on Spatial Accelerators

Raveesh Garg, Eric Qin, Francisco Munoz Martinez, Robert Guirado, Akshay Jain, Sergi Abadal, Jose L. Abellan, Manuel E. Acacio, Eduard Alarcon, Sivasankaran Rajamanickam, Tushar Krishna

https://www.osti.gov/search/identifier:1821960

Union: A Unified HW-SW Co-Design Ecosystem in MLIR for Evaluating Tensor Operations on Spatial Accelerators

30th International Conference on Parallel Architectures and Compilation Techniques (PACT)

Geonhwa Jeong, Gokcen Kestor, Prasanth Chatarsi, Angshuman Parashar, Po-An Tsai, Sivasankaran Rajamanickam, Roberto Gioiosa, Tushar Krishna

Advances in Mixed Precision Algorithms: 2021 Edition

Ahmad Abdelfattah, Hartwig Anzt, Alan Ayala, Erik Gunnar Boman, Erin Carson, Sebastien Cayrols, Terry Cojean, Jack Dongarra, Rob Falgout, Mark Gates, Thomas Gr\"{u}tzmacher, Nicholas J. Higham, Scott E. Kruger, Sherry Li, Neil Lindquist, Yang Liu, Jennifer Ann Loe, Pratik Nayak, Daniel Osei-Kuffuor, Sri Pranesh, Sivasankaran Rajamanickam, Tobias Ribizel, Bryce Barry Smith, Kasia Swirydowicz, Stephen Thomas, Stanimire Tomov, Yaohung M. Tsai, Ichitaro Yamazaki, Urike Meier Yang

https://www.osti.gov/search/identifier:1814447

Union: A Unified HW-SW Co-Design Ecosystem in MLIR for Evaluating Tensor Operations on Spatial Accelerators

30th International Conference on Parallel Architectures and Compilation Techniques (PACT)

Geonhwa Jeong, Gokcen Kestor, Prasanth Chatarsi, Angshuman Parashar, Po-An Tsai, Sivasankaran Rajamanickam, Roberto Gioiosa, Tushar Krishna

Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication

IEEE Transaction on Parallel and Distributed Systems

Gordon Moon, Hyoukjun Kwon, Geonhwa Jeong, Prasanth Chatarsi, Sivasankaran Rajamanickam, Tushar Krishna

https://www.osti.gov/search/identifier:1820407

Sphynx: a parallel multi-GPU graph partitioner

SIAM Conference on Applied and Computational Discrete Algorithms (ACDA)

Seher Acer, Erik Gunnar Boman, Christian Alexander Glusa, Sivasankaran Rajamanickam

The Kokkos EcoSystem: Comprehensive Performance Portability For High Performance Computing

Computing in Science & Engineering

Christian Robert Trott, Luc Berger-Vergiat, David Zoeller Poliakoff, Sivasankaran Rajamanickam, Damien Lebrun-Grandie, Jonathan Madsen, Nader Al Awar, Milos Gligoric, Galen Shipman, Geoff Womeldorff

https://www.osti.gov/search/identifier:1817719

Learning Transferable DFT Neural Network Surrogates

CSRI Summer 2021 Poster Blitz

Kyle Ravi Lennon, Sivasankaran Rajamanickam

Kokkos Kernels 3.4

ECP All-PI meeting

Sivasankaran Rajamanickam, Luc Berger-Vergiat, Vinh Quang Dang, Nathan David Ellingwood, Evan Charles Harvey, Brian Michael Kelley, Christian Robert Trott

Properties of GMRES with Iterative Refinement on GPUs

PASC 21 Conference

Jennifer Ann Loe, Christian Alexander Glusa, Ichitaro Yamazaki, Erik Gunnar Boman, Sivasankaran Rajamanickam

A Block-Based Triangle Counting Algorithm on Heterogeneous Environments

IEEE Transactions on Parallel and Distributed Systems

Abdurrahman Yasar, Sivasankaran Rajamanickam, Jonathan W. Berry, Umit Catalyurek

https://www.osti.gov/search/identifier:1810367

Kokkos 3: Programming Model Extensions for the Exascale Era

Transactions on Parallel and Distributed Systems

Christian Robert Trott, Damien Lebrun-Grandie, Daniel Arndt, Jan Ciesko, Vinh Quang Dang, Nathan David Ellingwood, Rahulkumar Gayatri, Evan Charles Harvey, D.S. Hollman, Daniel Alejandro Ibanez-Granados, Nevin Liber, Jonathan Madsen, Jeff Miles, David Zoeller Poliakoff, Amy Jo Powell, Sivasankaran Rajamanickam, Mikael Simberg, Daniel Sunderland, Bruno Turcksin, Jeremiah Wilke

https://www.osti.gov/search/identifier:1822222

Accelerating Finite-Temperature Kohn-Sham Density Functional Theory with Deep Neural Networks

Austin Ellis, Lenz Fielder, Gabriel ANUOLUWAPO Popoola, Normand A. Modine, John Adam Stephens, Aidan P. Thompson, Sivasankaran Rajamanickam

https://www.osti.gov/search/identifier:1817970

Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication

Gordon Moon, Hyoukjun Kwon, Geonhwa Jeong, Prasanth Chatarsi, Sivasankaran Rajamanickam, Tushar Krishna

https://www.osti.gov/search/identifier:1808019

Exagraph: Combinatorial Methods for Enabling Exascale Science

Exascale Computing Project Annual Meeting

Mahantesh Halappanavar, Seher Acer, Erik Gunnar Boman, Aydin Buluc, Saliya Ekanayate, SM Feerdous, Nitin Gawande, Sayan Ghosh, Arif Khan, Marco Minotoli, Alex Pothen, Sivasankaran Rajamanickam, Oguz Selvitopi, Nathan Tallent, Antonio Tumeo

https://www.osti.gov/search/identifier:1870360

Experimental Evaluation of Multiprecision Strategies for GMRES on GPUs

ASHES Workshop for IPDPS 2021

Jennifer Ann Loe, Christian Alexander Glusa, Ichitaro Yamazaki, Erik Gunnar Boman, Sivasankaran Rajamanickam

https://www.osti.gov/search/identifier:1869548

An Introduction to the Materials Learning Algorithms Package (MALA)

CECAM networking workshop

Lenz Fiedler, Austin Ellis, Sivasankaran Rajamanickam, Attila Cangi

https://www.osti.gov/search/identifier:1867139

Fugaku and A64FX Update - April 2021

RIKEN/Department of Energy Collaboration Update April 2021

Simon David Hammond, Matthew Jon Curry, Kevin Duvall Davis, Vinh Quang Dang, Oksana Guba, Robert J. Hoekstra, James H. Laros, Kevin Pedretti, David Zoeller Poliakoff, Sivasankaran Rajamanickam, Christian Robert Trott, Andrew J Younge