Sfoglia per Autore
Efficient synthesis of graph methods: a dynamically scheduled architecture
2016-01-01 Minutoli, Marco; Castellana, VITO GIOVANNI; Tumeo, Antonino; Lattuada, Marco; Ferrandi, Fabrizio
A Dynamically Scheduled Architecture for the Synthesis of Graph Database Queries
2016-01-01 Minutoli, M.; Castellana, VITO GIOVANNI; Tumeo, Antonino; Ferrandi, Fabrizio; Lattuada, Marco
Considerations on the use of custom accelerators for big data analytics
2017-01-01 Castellana, Vito Giovanni; Tumeo, Antonino; Minutoli, Marco; Lattuada, Marco; Ferrandi, Fabrizio
Using Efficient Path Profiling to Optimize Memory Consumption of On-Chip Debugging for High-Level Synthesis
2017-01-01 Fezzardi, Pietro; Lattuada, Marco; Ferrandi, Fabrizio
Exploiting Vectorization in High Level Synthesis of Nested Irregular Loops
2017-01-01 Lattuada, Marco; Ferrandi, Fabrizio
Data Transfers Analysis in Computer Assisted Design Flow of FPGA Accelerators for Aerospace Systems
2018-01-01 Lattuada, Marco; Ferrandi, Fabrizio; Perrotin, Maxime
A Design Flow Engine for the Support of Customized Dynamic High Level Synthesis Flows
2019-01-01 Lattuada, Marco; Ferrandi, Fabrizio
Software defined architectures for data analytics
2019-01-01 Castellana, Vito Giovanni; Minutoli, Marco; Tumeo, Antonino; Lattuada, Marco; Fezzardi, Pietro; Ferrandi, Fabrizio
Machine Learning for Performance Prediction of Spark Cloud Applications
2019-01-01 Maros, Alexandre; Murai, Fabricio; Couto da Silva, Ana Paula; M. Almeida, Jussara; Lattuada, Marco; Gianniti, Eugenio; Hosseini, Marjan; Ardagna, Danilo
BIGSEA: A Big Data analytics platform for public transportation information
2019-01-01 Alic, Andy S.; Almeida, Jussara; Aloisio, Giovanni; Andrade, Nazareno; Antunes, Nuno; Ardagna, Danilo; Badia, Rosa M.; Basso, Tania; Blanquer, Ignacio; Braz, Tarciso; Brito, Andrey; Elia, Donatello; Fiore, Sandro; Guedes, Dorgival; Lattuada, Marco; Lezzi, Daniele; Maciel, Matheus; Meira, Wagner; Mestre, Demetrio; Moraes, Regina; Morais, Fabio; Pires, Carlos Eduardo; Kozievitch, Nádia P.; Santos, Walter dos; Silva, Paulo; Vieira, Marco
Gray-Box Models for Performance Assessment of Spark Applications
2019-01-01 Lattuada, Marco; Gianniti, Eugenio; Hosseini, Marjan; Ardagna, Danilo; Alexandre, Maros; Fabricio, Murai; COUTO da SILVA, ANA PAULA; Jussara, M. Almeida.
Optimizing on-demand GPUs in the Cloud for Deep Learning Applications Training
2019-01-01 Jahani, Arezoo; Lattuada, Marco; Ciavotta, Michele; Ardagna, Danilo; Amaldi, Edoardo; Zhang, Li
Architectural Design of Cloud Applications: a Performance-aware Cost Minimization Approach. IEEE Transactions on Cloud Computing
2020-01-01 Ciavotta, M.; Gibilisco, G. P.; Ardagna, D.; Di Nitto, E.; Lattuada, M.; Almeida da Silva, M. A.
Optimal Resource Allocation of Cloud-Based Spark Applications
2020-01-01 Lattuada, M.; Barbierato, E.; Gianniti, E.; Ardagna, D.
Hierarchical Scheduling in on-demand GPU-as-a-Service Systems
2020-01-01 Filippini, Federica; Lattuada, Marco; Ciavotta, Michele; Jahani, Arezoo; Ardagna, Danilo; Amaldi, Edoardo
ANDREAS: Artificial intelligence traiNing scheDuler foR accElerAted resource clusterS
2021-01-01 Filippini, Federica; Ardagna, Danilo; Lattuada, Marco; Amaldi, Edoardo; Riedl, Maciek; Materka, Katarzyna; Skrzypek, Paweł; Ciavotta, Michele; Magugliani, Fabrizio; Cicala, Marco
Performance Prediction of Deep Learning Applications Training in GPU as a Service Systems
2022-01-01 Lattuada, Marco; Gianniti, Eugenio; Ardagna, Danilo; Zhang, Li
A Path Relinking Method for the Joint Online Scheduling and Capacity Allocation of DL Training Workloads in GPU as a Service Systems
2023-01-01 Filippini, Federica; Lattuada, Marco; Ciavotta, Michele; Jahani, Arezoo; Ardagna, Danilo; Amaldi, Edoardo
AMLLibrary: An AutoML Approach for Performance Prediction
2023-01-01 Guindani, Bruno; Lattuada, Marco; Ardagna, Danilo
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