Zobrazeno 1 - 10
of 127
pro vyhledávání: '"Sivasankaran Rajamanickam"'
Autor:
Lenz Fiedler, Normand A. Modine, Steve Schmerler, Dayton J. Vogel, Gabriel A. Popoola, Aidan P. Thompson, Sivasankaran Rajamanickam, Attila Cangi
Publikováno v:
npj Computational Materials, Vol 9, Iss 1, Pp 1-10 (2023)
Abstract The properties of electrons in matter are of fundamental importance. They give rise to virtually all material properties and determine the physics at play in objects ranging from semiconductor devices to the interior of giant gas planets. Mo
Externí odkaz:
https://doaj.org/article/f472e14ee9f14f318128eada67a6336e
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 34:1524-1535
Autor:
Nitin A. Gawande, Mahantesh Halappanavar, Erik G. Boman, S. M. Ferdous, Marco Minutoli, Karen D. Devine, Ariful Azad, Alex Pothen, Oguz Selvitopi, Arif O. Khan, Antonino Tumeo, Sayan Ghosh, Aydin Buluc, Nathan R. Tallent, Ananth Kalyanaraman, Sivasankaran Rajamanickam, Seher Acer
Publikováno v:
The International Journal of High Performance Computing Applications. 35:553-571
Combinatorial algorithms in general and graph algorithms in particular play a critical enabling role in numerous scientific applications. However, the irregular memory access nature of these algorithms makes them one of the hardest algorithmic kernel
Autor:
Shinjae Yoo, Logan Ward, Nikoli Dryden, Ramakrishnan Kannan, Rajeev Thakur, Bert Debusschere, Ganesh Sivaraman, Sutanay Choudhury, Zhengchun Liu, Neeraj Kumar, Peter Nugent, Francis J. Alexander, Sudip K. Seal, Shantenu Jha, James A. Ang, David Pugmire, Li Tan, Ian Foster, Yunzhi Huang, Paul M. Welch, Cristina Garcia Cardona, Sivasankaran Rajamanickam, Thomas Proffen, Ai Kagawa, Malachi Schram, Byung-Jun Yoon, Jamaludin Mohd-Yusof, Erin McCarthy, Tiernan Casey, Sotiris S. Xantheas, Vinay Ramakrishniah, Jan Balewski, Sayan Ghosh, Brian Van Essen, Michael M. Wolf, Christine Sweeney, J. Austin Ellis, Peter Harrington, Jong Choi, Yosuke Oyama, Naoya Maruyama, Satoshi Matsuoka, Jenna A. Bilbrey, Kevin G. Yager, Anthony M. DeGennaro, Travis Johnston, Ryan Chard
Publikováno v:
The International Journal of High Performance Computing Applications. 35:598-616
Rapid growth in data, computational methods, and computing power is driving a remarkable revolution in what variously is termed machine learning (ML), statistical learning, computational learning, and artificial intelligence. In addition to highly vi
Autor:
Sivasankaran Rajamanickam, Galen M. Shipman, Luc Berger-Vergiat, Jonathan Madsen, Christian Robert Trott, Nader Al Awar, Geoff Womeldorff, Milos Gligoric, David Poliakoff, Damien Lebrun-Grandie
Publikováno v:
Computing in Science & Engineering. 23:10-18
State-of-the-art engineering and science codes have grown in complexity dramatically over the last two decades. Application teams have adopted more sophisticated development strategies, leveraging third party libraries, deploying comprehensive testin
Autor:
Ichitaro Yamazaki, Christian Glusa, Jennifer Loe, Piotr Luszczek, Sivasankaran Rajamanickam, Jack Dongarra
Publikováno v:
2022 IEEE/ACM International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS).
Autor:
James Fox, Bo Zhao, Beatriz Gonzalez del Rio, Sivasankaran Rajamanickam, Rampi Ramprasad, Le Song
Publikováno v:
2022 International Joint Conference on Neural Networks (IJCNN).