Nicholas Malaya

26 papers A* 2A 4B 2C 2Journal 10Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Insights from Optimizing HPL Performance on Exascale Systems: A Comparative Analysis of Panel Factorization. SC Hao Lu, Michael A. Matheson, Noel Chalmers, Aditya Kashi, Nicholas Malaya, Feiyi Wang
2024	—	`conf`	Portability of Fortran's 'do concurrent' on GPUs. SC Workshops Ronald M. Caplan, Miko M. Stulajter, Jon A. Linker, Jeff Larkin, Henry A. Gabb, Shiquan Su, Ivan Rodriguez, Zachary S. Tschirhart, Nicholas Malaya
2024	J	`jnl`	Portability of Fortran's 'do concurrent' on GPUs. CoRR Ronald M. Caplan, Miko M. Stulajter, Jon A. Linker, Jeff Larkin, Henry A. Gabb, Shiquan Su, Ivan Rodriguez, Zachary S. Tschirhart, Nicholas Malaya
2024	J	`jnl`	Porting HPC Applications to AMD InstinctTM MI300A Using Unified Memory and OpenMP. CoRR Suyash Tandon, Leopold Grinberg, Gheorghe-Teodor Bercea, Carlo Bertolli, Mark Olesen, Simone Bnà, Nicholas Malaya
2024	C	`conf`	Porting HPC Applications to AMD Instinct™ MI300A using Unified Memory and OpenMP®. ISC Suyash Tandon, Leopold Grinberg, Gheorghe-Teodor Bercea, Carlo Bertolli, Mark Olesen, Simone Bnà, Nicholas Malaya
2024	A*	`conf`	Realizing the AMD Exascale Heterogeneous Processor Vision : Industry Product. ISCA Alan Smith, Gabriel H. Loh, Michael J. Schulte, Mike Ignatowski, Samuel Naffziger, Mike Mantor, Nathan Kalyanasundharam, Vamsi Alla, Nicholas Malaya, Joseph L. Greathouse, Eric Chapman, Raja Swaminathan
2023	A*	`conf`	A Research Retrospective on AMD's Exascale Computing Journey. ISCA 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
2023	B	`conf`	ADARNet: Deep Learning Predicts Adaptive Mesh Refinement. ICPP Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya, Aparna Chandramowlishwaran
2023	J	`jnl`	An Estimator for the Sensitivity to Perturbations of Deep Neural Networks. CoRR Naman Maheshwari, Nicholas Malaya, Scott Moe, Jaydeep P. Kulkarni, Sudhanva Gurumurthi
2023	—	`conf`	Efficient Probabilistic Tuning of Ensemble Forecasting Method. SC Workshops Alessandro Fanfarillo, Nicholas Malaya, Guido Cervone, Luca Delle Monache
2023	J	`jnl`	Experiences Readying Applications for Exascale. CoRR 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
2023	A	`conf`	Experiences readying applications for Exascale. SC 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
2022	—	`conf`	Evaluating GPU Programming Models for the LUMI Supercomputer. SCFA 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
2022	J	`jnl`	NUNet: Deep Learning for Non-Uniform Super-Resolution of Turbulent Flows. CoRR Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya, Aparna Chandramowlishwaran
2021	B	`conf`	SURFNet: Super-Resolution of Turbulent Flows with Transfer Learning using Small Datasets. PACT Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya, Aparna Chandramowlishwaran
2021	J	`jnl`	SURFNet: Super-resolution of Turbulent Flows with Transfer Learning using Small Datasets. CoRR Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya, Aparna Chandramowlishwaran
2020	J	`jnl`	Automating Artifact Detection in Video Games. CoRR Parmida Davarmanesh, Kuanhao Jiang, Tingting Ou, Artem Vysogorets, Stanislav Ivashkevich, Max Kiehn, Shantanu H. Joshi, Nicholas Malaya
2020	A	`conf`	CFDNet: a deep learning-based accelerator for fluid simulations. ICS Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya, Aparna Chandramowlishwaran
2020	J	`jnl`	CFDNet: a deep learning-based accelerator for fluid simulations. CoRR Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya, Aparna Chandramowlishwaran
2020	—	`conf`	Vandermonde Wave Function Ansatz for Improved Variational Monte Carlo. DLS@SC Alberto Acevedo, Michael Curry, Shantanu H. Joshi, Brett Leroux, Nicholas Malaya
2017	C	`conf`	Accelerating Matrix Processing with GPUs. ARITH Nicholas Malaya, Shuai Che, Joseph L. Greathouse, René van Oostrum, Michael J. Schulte
2017	—	`conf`	Experiences Porting Scientific Applications to the Intel (KNL) Xeon Phi Platform. PEARC Nicholas Malaya, Damon McDougall, Craig Michoski, Myoungkyu Lee, Christopher S. Simmons
2014	J	`jnl`	Experiences from Leadership Computing in Simulations of Turbulent Fluid Flows. Comput. Sci. Eng. Myoungkyu Lee, Rhys Ulerich, Nicholas Malaya, Robert D. Moser
2013	J	`jnl`	MASA : a library for verification using manufactured and analytical solutions. Eng. Comput. Nicholas Malaya, Kemelli C. Estacio-Hiroms, Roy H. Stogner, Karl W. Schulz, Paul T. Bauman, Graham F. Carey
2013	A	`conf`	Petascale direct numerical simulation of turbulent channel flow on up to 786K cores. SC Myoungkyu Lee, Nicholas Malaya, Robert D. Moser
2010	—	`conf`	Petascale I/O using HDF-5. TG Nicholas Malaya, Karl W. Schulz, Robert D. Moser