Browsing by Subject Escalonamento de Recursos

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Showing rec. 1 to 9 of 9
Issue DateTitleAuthor(s)
2020An Interference-Aware Application Classifier Based on Machine Learning to Improve Scheduling in CloudsMEYER, VINICIUS; KIRCHOFF, DIONATRA F.; DA SILVA, MATHEUS L., et al
2021C-MemMAP: clustering-driven compact, adaptable, and generalizable meta-LSTM models for memory access predictionPengmiao Zhang; Ajitesh Srivastava; Ta-Yang Wang, et al
2020MemMAP: Compact and Generalizable Meta-LSTM Models for Memory Access PredictionAjitesh Srivastava; Ta-Yang Wang; Pengmiao Zhang, et al
2015On the Impact of Energy-Efficient Strategies in HPC ClustersFabio Rossi; XAVIER, MIGUEL GOMES; MONTI, YURI J., et al
2012Optimizing the Execution of Statistical Simulations for Human Evolution in Hyper-threaded Multicore ArchitecturesRaquel Dias; Cesar Augusto Fonticielha De Rose; Antonio Tadeu Azevedo Gomes, et al
2012Optimizing the Execution of Statistical Simulations for Human Evolution in Hyper-threaded Multicore ArchitecturesRaquel Dias; Cesar Augusto Fonticielha De Rose; Antonio Tadeu Azevedo Gomes, et al
2017Policies for Interference and Affinity-Aware Placement of Multi-tier Applications in Private Cloud InfrastructuresUillian Ludwig; Dionatra Kirchoff; Ian B. Cezar, et al
2017Policies for Interference and Affinity-Aware Placement of Multi-tier Applications in Private Cloud InfrastructuresUillian Ludwig; Dionatra Kirchoff; Ian B. Cezar, et al
2005Scheduling Divisible Workloads using the Adaptive Time Factoring AlgorithmTiago Ferreto; Cesar Augusto Fonticielha De Rose