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pro vyhledávání: '"Khan, Jehandad"'
GPU kernels have come to the forefront of computing due to their utility in varied fields, from high-performance computing to machine learning. A typical GPU compute kernel is invoked millions, if not billions of times in a typical application, which
Externí odkaz:
http://arxiv.org/abs/2404.10162
Autor:
Khan, Jehandad
Computer networks are engineered for performance and flexibility, delivering billions of packets per second with high reliability, until they fail. It is during such time of crisis that debugging and troubleshooting come to the forefront, however, th
Externí odkaz:
http://hdl.handle.net/10919/93500
Autor:
Khan, Jehandad, Fultz, Paul, Tamazov, Artem, Lowell, Daniel, Liu, Chao, Melesse, Michael, Nandhimandalam, Murali, Nasyrov, Kamil, Perminov, Ilya, Shah, Tejash, Filippov, Vasilii, Zhang, Jing, Zhou, Jing, Natarajan, Bragadeesh, Daga, Mayank
Deep Learning has established itself to be a common occurrence in the business lexicon. The unprecedented success of deep learning in recent years can be attributed to: abundance of data, availability of gargantuan compute capabilities offered by GPU
Externí odkaz:
http://arxiv.org/abs/1910.00078
Publikováno v:
SAGE Open Medical Case Reports; 5/12/2024, p1-4, 4p
Akademický článek
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Publikováno v:
2014 International Joint Conference on Neural Networks (IJCNN); 2014, p609-616, 8p
Publikováno v:
21st European Signal Processing Conference (EUSIPCO 2013); 2013, p1-5, 5p
Autor:
Khan J, Bouaynaya N; Department of Electrical and Computer Engineering, Rowan University, 201 Mullica Hill Rd, Glassboro, NJ 08028, USA. bouaynaya@rowan.edu., Fathallah-Shaykh HM
Publikováno v:
EURASIP journal on bioinformatics & systems biology [EURASIP J Bioinform Syst Biol] 2014 Feb 12; Vol. 2014 (1), pp. 3. Date of Electronic Publication: 2014 Feb 12.