Artigos com autorizações de acesso público - Alex NicolauSaiba mais
3 artigos não disponíveis publicamente
Using data dependence analysis and loop transformations to teach vectorization
N Watkinson, A Shivam, Z Chen, A Veidenbaum, A Nicolau
2017 International Conference on Computational Science and Computational …, 2017
Autorizações: US National Science Foundation
Polygonal iteration space partitioning
A Shivam, A Nicolau, AV Veidenbaum, MM Furnari, R Cammarota
Languages and Compilers for Parallel Computing: 29th International Workshop …, 2017
Autorizações: US National Science Foundation
Lightning Talks of EduHPC 2021
HA Gabb, A Nicolau, S Puri, MD Shah, R Toppur, N Watkinson, W Xu, ...
2021 IEEE/ACM Ninth Workshop on Education for High Performance Computing …, 2021
Autorizações: US National Science Foundation
11 artigos disponíveis publicamente
An empirical study of the effect of source-level loop transformations on compiler stability
Z Gong, Z Chen, J Szaday, D Wong, Z Sura, N Watkinson, S Maleki, ...
Proceedings of the ACM on Programming Languages 2 (OOPSLA), 1-29, 2018
Autorizações: US National Science Foundation
SIMD-based soft error detection
Z Chen, A Nicolau, AV Veidenbaum
Proceedings of the ACM International Conference on Computing Frontiers, 45-54, 2016
Autorizações: US National Science Foundation
Torchhd: An open source python library to support research on hyperdimensional computing and vector symbolic architectures
M Heddes, I Nunes, P Vergés, D Kleyko, D Abraham, T Givargis, ...
Journal of Machine Learning Research 24 (255), 1-10, 2023
Autorizações: European Commission
Lore: A loop repository for the evaluation of compilers
Z Chen, Z Gong, JJ Szaday, DC Wong, D Padua, A Nicolau, ...
2017 IEEE International Symposium on Workload Characterization (IISWC), 219-228, 2017
Autorizações: US National Science Foundation
Using hardware counters to predict vectorization
N Watkinson, A Shivam, Z Chen, A Veidenbaum, A Nicolau, Z Gong
Languages and Compilers for Parallel Computing: 30th International Workshop …, 2019
Autorizações: US National Science Foundation
Large-scale neural circuit mapping data analysis accelerated with the graphical processing unit (GPU)
Y Shi, AV Veidenbaum, A Nicolau, X Xu
Journal of neuroscience methods 239, 1-10, 2015
Autorizações: US National Institutes of Health
Towards an achievable performance for the loop nests
A Shivam, N Watkinson, A Nicolau, D Padua, AV Veidenbaum
Languages and Compilers for Parallel Computing: 31st International Workshop …, 2019
Autorizações: US National Science Foundation
A radiative transfer module for calculating photolysis rates and solar heating in climate models: Solar-J v7. 5
J Hsu, MJ Prather, P Cameron-Smith, A Veidenbaum, A Nicolau
Geoscientific Model Development 10 (7), 2525-2545, 2017
Autorizações: US Department of Energy, US National Aeronautics and Space Administration
A compilation and run-time framework for maximizing performance of self-scheduling algorithms
Y Wang, LA Beni, A Nicolau, AV Veidenbaum, R Cammarota
IFIP International Conference on Network and Parallel Computing, 459-470, 2014
Autorizações: National Natural Science Foundation of China
Enhancing the Privacy of Machine Learning via faster arithmetic over Torus FHE
MT Trifan, A Nicolau, A Veidenbaum
2023 IEEE 10th International Conference on Cyber Security and Cloud …, 2023
Autorizações: US National Science Foundation
Fault Tolerant Scheduling for Parallel Loops on Shared Memory Systems.
Y Wang, R Cammarota, A Nicolau
J. Inf. Sci. Eng. 31 (6), 1937-1959, 2015
Autorizações: National Natural Science Foundation of China
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