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Evaluating execution time predictions on GPU kernels using an analytical model and machine learning techniques

Marcos Amaris Raphael Camargo; Daniel de Angelis Cordeiro; Alfredo Goldman; Denise Trystram

Journal of Parallel and Distributed Computing Maryland Heights v. 171, p. 66-78, jan. 2023

Available at IME - Inst. Matemática e Estatística (PROD-3100774 )(GetIt)

Title:
Evaluating execution time predictions on GPU kernels using an analytical model and machine learning techniques
Author: Marcos Amaris
Raphael Camargo; Daniel de Angelis Cordeiro; Alfredo Goldman; Denise Trystram
Subjects: APRENDIZADO COMPUTACIONAL
Is Part Of: Journal of Parallel and Distributed Computing Maryland Heights v. 171, p. 66-78, jan. 2023
Notes: Disponível em: http://dx.doi.org/10.1016/j.jpdc.2022.09.002. Acesso em: 13 out. 2022
Publisher: Maryland Heights
Creation Date: 2023
Format: p. 66-78.
Language: English

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