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