Percorrendo por Assunto Escalonamento de Recursos
Mostrando regs. 1 a 9 de 9
| Data de publicação | Título | Autor(es) |
| 2020 | An Interference-Aware Application Classifier Based on Machine Learning to Improve Scheduling in Clouds | MEYER, VINICIUS; KIRCHOFF, DIONATRA F.; DA SILVA, MATHEUS L., et al |
| 2021 | C-MemMAP: clustering-driven compact, adaptable, and generalizable meta-LSTM models for memory access prediction | Pengmiao Zhang; Ajitesh Srivastava; Ta-Yang Wang, et al |
| 2020 | MemMAP: Compact and Generalizable Meta-LSTM Models for Memory Access Prediction | Ajitesh Srivastava; Ta-Yang Wang; Pengmiao Zhang, et al |
| 2015 | On the Impact of Energy-Efficient Strategies in HPC Clusters | Fabio Rossi; XAVIER, MIGUEL GOMES; MONTI, YURI J., et al |
| 2012 | Optimizing the Execution of Statistical Simulations for Human Evolution in Hyper-threaded Multicore Architectures | Raquel Dias; Cesar Augusto Fonticielha De Rose; Antonio Tadeu Azevedo Gomes, et al |
| 2012 | Optimizing the Execution of Statistical Simulations for Human Evolution in Hyper-threaded Multicore Architectures | Raquel Dias; Cesar Augusto Fonticielha De Rose; Antonio Tadeu Azevedo Gomes, et al |
| 2017 | Policies for Interference and Affinity-Aware Placement of Multi-tier Applications in Private Cloud Infrastructures | Uillian Ludwig; Dionatra Kirchoff; Ian B. Cezar, et al |
| 2017 | Policies for Interference and Affinity-Aware Placement of Multi-tier Applications in Private Cloud Infrastructures | Uillian Ludwig; Dionatra Kirchoff; Ian B. Cezar, et al |
| 2005 | Scheduling Divisible Workloads using the Adaptive Time Factoring Algorithm | Tiago Ferreto; Cesar Augusto Fonticielha De Rose |
