default search action
Nicholas Malaya
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [c14]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:
Realizing the AMD Exascale Heterogeneous Processor Vision : Industry Product. ISCA 2024: 876-889 - [c13]Suyash Tandon, Leopold Grinberg, Gheorghe-Teodor Bercea, Carlo Bertolli, Mark Olesen, Simone Bnà, Nicholas Malaya:
Porting HPC Applications to AMD Instinct™ MI300A using Unified Memory and OpenMP®. ISC 2024: 1-9 - [i8]Suyash Tandon, Leopold Grinberg, Gheorghe-Teodor Bercea, Carlo Bertolli, Mark Olesen, Simone Bnà, Nicholas Malaya:
Porting HPC Applications to AMD InstinctTM MI300A Using Unified Memory and OpenMP. CoRR abs/2405.00436 (2024) - [i7]Ronald M. Caplan, Miko M. Stulajter, Jon A. Linker, Jeff Larkin, Henry A. Gabb, Shiquan Su, Ivan Rodriguez, Zachary S. Tschirhart, Nicholas Malaya:
Portability of Fortran's 'do concurrent' on GPUs. CoRR abs/2408.07843 (2024) - 2023
- [c12]Octavi Obiols-Sales
, Abhinav Vishnu
ADARNet: Deep Learning Predicts Adaptive Mesh Refinement. ICPP 2023: 524-534 - [c11]Gabriel H. Loh
A Research Retrospective on AMD's Exascale Computing Journey. ISCA 2023: 81:1-81:14 - [c10]Nicholas Malaya
Experiences readying applications for Exascale. SC 2023: 53:1-53:13 - [c9]Alessandro Fanfarillo
Efficient Probabilistic Tuning of Ensemble Forecasting Method. SC Workshops 2023: 384-386 - [i6]Naman Maheshwari, Nicholas Malaya, Scott Moe, Jaydeep P. Kulkarni, Sudhanva Gurumurthi:
An Estimator for the Sensitivity to Perturbations of Deep Neural Networks. CoRR abs/2307.12679 (2023) - [i5]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
Experiences Readying Applications for Exascale. CoRR abs/2310.01586 (2023) - 2022
- [c8]George S. Markomanolis
Evaluating GPU Programming Models for the LUMI Supercomputer. SCFA 2022: 79-101 - [i4]Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya, Aparna Chandramowlishwaran:
NUNet: Deep Learning for Non-Uniform Super-Resolution of Turbulent Flows. CoRR abs/2203.14154 (2022) - 2021
- [c7]Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya, Aparna Chandramowlishwaran
SURFNet: Super-Resolution of Turbulent Flows with Transfer Learning using Small Datasets. PACT 2021: 331-344 - [i3]Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya, Aparna Chandramowlishwaran:
SURFNet: Super-resolution of Turbulent Flows with Transfer Learning using Small Datasets. CoRR abs/2108.07667 (2021) - 2020
- [c6]Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya, Aparna Chandramowlishwaran:
CFDNet: a deep learning-based accelerator for fluid simulations. ICS 2020: 3:1-3:12 - [c5]Alberto Acevedo, Michael Curry
Vandermonde Wave Function Ansatz for Improved Variational Monte Carlo. DLS@SC 2020: 40-47 - [i2]Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya, Aparna Chandramowlishwaran:
CFDNet: a deep learning-based accelerator for fluid simulations. CoRR abs/2005.04485 (2020) - [i1]Parmida Davarmanesh, Kuanhao Jiang, Tingting Ou, Artem Vysogorets, Stanislav Ivashkevich, Max Kiehn, Shantanu H. Joshi, Nicholas Malaya:
Automating Artifact Detection in Video Games. CoRR abs/2011.15103 (2020)
2010 – 2019
- 2017
- [c4]Nicholas Malaya, Shuai Che, Joseph L. Greathouse, René van Oostrum, Michael J. Schulte:
Accelerating Matrix Processing with GPUs. ARITH 2017: 139-141 - [c3]Nicholas Malaya, Damon McDougall, Craig Michoski, Myoungkyu Lee
Experiences Porting Scientific Applications to the Intel (KNL) Xeon Phi Platform. PEARC 2017: 40:1-40:8 - 2014
- [j2]Myoungkyu Lee
Experiences from Leadership Computing in Simulations of Turbulent Fluid Flows. Comput. Sci. Eng. 16(5): 24-31 (2014) - 2013
- [j1]Nicholas Malaya, Kemelli C. Estacio-Hiroms
MASA : a library for verification using manufactured and analytical solutions. Eng. Comput. 29(4): 487-496 (2013) - [c2]Myoungkyu Lee
Petascale direct numerical simulation of turbulent channel flow on up to 786K cores. SC 2013: 61:1-61:11 - 2010
- [c1]Nicholas Malaya, Karl W. Schulz, Robert D. Moser:
Petascale I/O using HDF-5. TG 2010: 11:1-11:4
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-21 21:27 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: