Nicholas Malaya

According to our database, Nicholas Malaya authored at least 18 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Experiences Readying Applications for Exascale.

Paul T. Bauman, Reuben D. Budiardja, Dmytro Bykov, Noel Chalmers, Jacqueline Chen, Nicholas Curtis, Marc Day, Markus Eisenbach, Lucas Esclapez, Alessandro Fanfarillo, William Freitag, Nicholas Frontiere, Antigoni Georgiadou, Joseph Glenski, Kalyana C. Gottiparthi, Marc T. Henry de Frahan, Gustav R. Jansen, Wayne Joubert, Justin G. Lietz, Jakub Kurzak, Nicholas Malaya, Bronson Messer, Damon McDougall, Paul Mullowney, Stephen Nichols, Matthew R. Norman, Thomas Papatheodore, Jon S. Rood, Philip C. Roth, Sarat Sreepathi, James B. White III, Noah Wolfe

CoRR, 2023

An Estimator for the Sensitivity to Perturbations of Deep Neural Networks.

Naman Maheshwari, Nicholas Malaya, Scott Moe, Jaydeep P. Kulkarni, Sudhanva Gurumurthi

CoRR, 2023

Experiences readying applications for Exascale.

Nicholas Malaya, Bronson Messer, Joseph Glenski, Antigoni Georgiadou, Justin Lietz, Kalyana C. Gottiparthi, Marc Day, Jackie Chen, Jon S. Rood, Lucas Esclapez, James B. White III, Gustav R. Jansen, Nicholas Curtis, Stephen Nichols, Jakub Kurzak, Noel Chalmers, Chip Freitag, Paul T. Bauman, Alessandro Fanfarillo, Reuben D. Budiardja, Thomas Papatheodore, Nicholas Frontiere, Damon McDougall, Matthew R. Norman, Sarat Sreepathi, Philip C. Roth, Dmytro Bykov, Noah Wolfe, Paul Mullowney, Markus Eisenbach, Marc T. Henry de Frahan, Wayne Joubert

Proceedings of the International Conference for High Performance Computing, 2023

Efficient Probabilistic Tuning of Ensemble Forecasting Method.

Alessandro Fanfarillo, Nicholas Malaya, Guido Cervone, Luca Delle Monache

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

A Research Retrospective on AMD's Exascale Computing Journey.

Gabriel H. Loh, Michael J. Schulte, Mike Ignatowski, Vignesh Adhinarayanan, Shaizeen Aga, Derrick Aguren, Varun Agrawal, Ashwin M. Aji, Johnathan Alsop, Paul T. Bauman, Bradford M. Beckmann, Majed Valad Beigi, Sergey Blagodurov, Travis Boraten, Michael Boyer, William C. Brantley, Noel Chalmers, Shaoming Chen, Kevin Cheng, Michael L. Chu, David Cownie, Nicholas Curtis, Joris Del Pino, Nam Duong, Alexandru Dutu, Yasuko Eckert, Christopher Erb, Chip Freitag, Joseph L. Greathouse, Sudhanva Gurumurthi, Anthony Gutierrez, Khaled Hamidouche, Sachin Hossamani, Wei Huang, Mahzabeen Islam, Nuwan Jayasena, John Kalamatianos, Onur Kayiran, Jagadish Kotra, Alan Lee, Daniel Lowell, Niti Madan, Abhinandan Majumdar, Nicholas Malaya, Srilatha Manne, Susumu Mashimo, Damon McDougall, Elliot Mednick, Michael Mishkin, Mark Nutter, Indrani Paul, Matthew Poremba, Brandon Potter, Kishore Punniyamurthy, Sooraj Puthoor, Steven E. Raasch, Karthik Rao, Gregory Rodgers, Marko Scrbak, Mohammad Seyedzadeh, John Slice, Vilas Sridharan, René van Oostrum, Eric Van Tassell, Abhinav Vishnu, Samuel Wasmundt, Mark Wilkening, Noah Wolfe, Mark Wyse, Adithya Yalavarti, Dmitri Yudanov

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

ADARNet: Deep Learning Predicts Adaptive Mesh Refinement.

Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya, Aparna Chandramowlishwaran

Proceedings of the 52nd International Conference on Parallel Processing, 2023

2022

NUNet: Deep Learning for Non-Uniform Super-Resolution of Turbulent Flows.

Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya, Aparna Chandramowlishwaran

CoRR, 2022

Evaluating GPU Programming Models for the LUMI Supercomputer.

George S. Markomanolis, Aksel Alpay, Jeff Young, Michael Klemm, Nicholas Malaya, Aniello Esposito, Jussi Heikonen, Sergey I. Bastrakov, Alexander Debus, Thomas Kluge, Klaus Steiniger, Jan Stephan, René Widera, Michael Bussmann

Proceedings of the Supercomputing Frontiers - 7th Asian Conference, 2022

2021

SURFNet: Super-Resolution of Turbulent Flows with Transfer Learning using Small Datasets.

Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya, Aparna Chandramowlishwaran

Proceedings of the 30th International Conference on Parallel Architectures and Compilation Techniques, 2021

2020

Automating Artifact Detection in Video Games.

Parmida Davarmanesh, Kuanhao Jiang, Tingting Ou, Artem Vysogorets, Stanislav Ivashkevich, Max Kiehn, Shantanu H. Joshi, Nicholas Malaya

CoRR, 2020

Vandermonde Wave Function Ansatz for Improved Variational Monte Carlo.

Alberto Acevedo, Michael Curry, Shantanu H. Joshi, Brett Leroux, Nicholas Malaya

Proceedings of the Fourth IEEE/ACM Workshop on Deep Learning on Supercomputers, 2020

CFDNet: a deep learning-based accelerator for fluid simulations.

Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya, Aparna Chandramowlishwaran

Proceedings of the ICS '20: 2020 International Conference on Supercomputing, 2020

2017

Experiences Porting Scientific Applications to the Intel (KNL) Xeon Phi Platform.

Nicholas Malaya, Damon McDougall, Craig Michoski, Myoungkyu Lee, Christopher S. Simmons

Proceedings of the Practice and Experience in Advanced Research Computing 2017: Sustainability, 2017

Accelerating Matrix Processing with GPUs.

Nicholas Malaya, Shuai Che, Joseph L. Greathouse, René van Oostrum, Michael J. Schulte

Proceedings of the 24th IEEE Symposium on Computer Arithmetic, 2017

2014

Experiences from Leadership Computing in Simulations of Turbulent Fluid Flows.

Myoungkyu Lee, Rhys Ulerich, Nicholas Malaya, Robert D. Moser

Comput. Sci. Eng., 2014

2013

MASA : a library for verification using manufactured and analytical solutions.

Nicholas Malaya, Kemelli C. Estacio-Hiroms, Roy H. Stogner, Karl W. Schulz, Paul T. Bauman, Graham F. Carey

Eng. Comput., 2013

Petascale direct numerical simulation of turbulent channel flow on up to 786K cores.

Myoungkyu Lee, Nicholas Malaya, Robert D. Moser

Proceedings of the International Conference for High Performance Computing, 2013

2010

Petascale I/O using HDF-5.

Nicholas Malaya, Karl W. Schulz, Robert D. Moser

Proceedings of the 2010 TeraGrid Conference, 2010