Listar por autor "López Albelda, Bernabé"
Mostrando ítems 1-6 de 6
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A Hybrid Piece-Wise Slowdown Model for Concurrent Kernel Execution on GPU
López Albelda, Bernabé; Castro, Francisco M.; González-Linares, José María
; Guil-Mata, Nicolás (José Cano, Phil Trinder, 2022-08)
Current execution of kernels on GPUs allows improving the use of hardware resources and reducing the execution time of co-executed kernels. In addition, efficient kernel-oriented scheduling policies pursuing criteria based ... -
FlexSched: Efficient scheduling techniques for concurrent kernel execution on GPUs
López Albelda, Bernabé; Castro, Francisco M.; González-Linares, José María; Guil-Mata, Nicolás (Springer Nature, 2022)
Nowadays, GPU clusters are available in almost every data processing center. Their GPUs are typically shared by different applications that might have different processing needs and/or different levels of priority. In this ... -
Heuristics for concurrent task scheduling on GPUs
López Albelda, Bernabé; Lázaro Muñoz, Antonio José; González-Linares, José María; Guil-Mata, Nicolás (Wiley, 2019)
Concurrent execution of tasks in GPUs can reduce the computation time of a workload by overlapping data transfer and execution commands. However, it is difficult to implement an efficient runtime scheduler that minimizes ... -
Planificación concurrente de comandos en GPU
(UMA Editorial, 2023)En esta tesis se analiza el problema de planificar un conjunto de tareas sobre una GPU desde diferentes puntos de vista. Por una parte, se estudia el solapamiento de comandos de transferencia de datos con comandos de ... -
A scheduling theory framework for GPU tasks efficient execution
Lázaro Muñoz, Antonio José; López Albelda, Bernabé; González-Linares, José María; Guil-Mata, Nicolás (2018-07-16)
Concurrent execution of tasks in GPUs can reduce the computation time of a workload by overlapping data transfer and execution commands. However it is difficult to implement an efficient run- time scheduler ... -
Tasks Fairness Scheduler for GPU
López Albelda, Bernabé; González-Linares, José María; Guil-Mata, Nicolás (2019-09-24)
Nowadays GPU clusters are available in almost every data processing center. Their GPUs are typically shared by different applications that might have different processing needs and/or different levels of priority. As current ...