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Marco Lattuada 0001
Person information
- affiliation: Politecnico di Milano, Italy
Other persons with the same name
- Marco Lattuada 0002
— University of Fribourg, Switzerland
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2020 – today
- 2023
- [j13]Federica Filippini
, Marco Lattuada
, Michele Ciavotta
, Arezoo Jahani, Danilo Ardagna
, Edoardo Amaldi:
A Path Relinking Method for the Joint Online Scheduling and Capacity Allocation of DL Training Workloads in GPU as a Service Systems. IEEE Trans. Serv. Comput. 16(3): 1630-1646 (2023) - [c26]Bruno Guindani, Marco Lattuada, Danilo Ardagna:
aMLLibrary: An AutoML Approach For Performance Prediction. ECMS 2023: 215-221 - [c25]Fabrizio De Vita
, Rawan M. A. Nawaiseh, Dario Bruneo, Valeria Tomaselli, Marco Lattuada, Mirko Falchetto:
µ-FF: On-Device Forward-Forward Training Algorithm for Microcontrollers. SMARTCOMP 2023: 49-56 - 2022
- [j12]Marco Lattuada, Eugenio Gianniti, Danilo Ardagna
, Li Zhang:
Performance prediction of deep learning applications training in GPU as a service systems. Clust. Comput. 25(2): 1279-1302 (2022) - [j11]Marco Minutoli
, Vito Giovanni Castellana, Nicola Saporetti, Stefano Devecchi, Marco Lattuada
, Pietro Fezzardi
, Antonino Tumeo
, Fabrizio Ferrandi
:
Svelto: High-Level Synthesis of Multi-Threaded Accelerators for Graph Analytics. IEEE Trans. Computers 71(3): 520-533 (2022) - [j10]Marco Lattuada
, Enrico Barbierato, Eugenio Gianniti
, Danilo Ardagna
:
Optimal Resource Allocation of Cloud-Based Spark Applications. IEEE Trans. Cloud Comput. 10(2): 1301-1316 (2022) - [j9]Michele Ciavotta
, Giovanni Paolo Gibilisco, Danilo Ardagna
, Elisabetta Di Nitto
, Marco Lattuada
, Marcos Aurélio Almeida da Silva:
Architectural Design of Cloud Applications: A Performance-Aware Cost Minimization Approach. IEEE Trans. Cloud Comput. 10(3): 1571-1591 (2022) - [c24]Danilo Pau
, Davide Denaro, Marco Lattuada, Mahdi Mseddi:
Neural keypoint detection for visual gestures on micro-controllers. MetroXRAINE 2022: 175-180 - 2021
- [c23]Fabrizio Ferrandi
, Vito Giovanni Castellana, Serena Curzel
, Pietro Fezzardi, Michele Fiorito
, Marco Lattuada, Marco Minutoli
, Christian Pilato, Antonino Tumeo:
Invited: Bambu: an Open-Source Research Framework for the High-Level Synthesis of Complex Applications. DAC 2021: 1327-1330 - [c22]Federica Filippini
, Danilo Ardagna
, Marco Lattuada, Edoardo Amaldi, Maciek Riedl, Katarzyna Materka, Pawel Skrzypek, Michele Ciavotta, Fabrizio Magugliani, Marco Cicala:
ANDREAS: Artificial intelligence traiNing scheDuler foR accElerAted resource clusterS. FiCloud 2021: 388-393 - [c21]Danilo Pau
, Marco Lattuada
, Francesco Loro, Antonio De Vita, Gian Domenico Licciardo
:
Comparing Industry Frameworks with Deeply Quantized Neural Networks on Microcontrollers. ICCE 2021: 1-6 - [i2]Federica Filippini, Danilo Ardagna, Marco Lattuada
, Edoardo Amaldi, Michele Ciavotta, Maciek Riedl, Katarzyna Materka, Pawel Skrzypek, Fabrizio Magugliani, Marco Cicala:
ANDREAS: Artificial intelligence traiNing scheDuler foR accElerAted resource clusterS. CoRR abs/2105.05080 (2021) - [i1]Alexandre Maros, Fabricio Murai, Ana Paula Couto da Silva, Jussara M. Almeida, Marco Lattuada, Eugenio Gianniti, Marjan Hosseini, Danilo Ardagna:
Machine Learning for Performance Prediction of Spark Cloud Applications. CoRR abs/2108.12214 (2021) - 2020
- [c20]Federica Filippini
, Marco Lattuada
, Arezoo Jahani, Michele Ciavotta, Danilo Ardagna
, Edoardo Amaldi:
Hierarchical Scheduling in on-demand GPU-as-a-Service Systems. SYNASC 2020: 125-132
2010 – 2019
- 2019
- [j8]Andy S. Alic
, Jussara M. Almeida
, Giovanni Aloisio, Nazareno Andrade, Nuno Antunes
, Danilo Ardagna
, Rosa M. Badia
, Tânia Basso, Ignacio Blanquer, Tarciso Braz
, Andrey Brito, Donatello Elia
, Sandro Fiore
, Dorgival O. Guedes, Marco Lattuada
, Daniele Lezzi
, Matheus Maciel, Wagner Meira Jr., Demetrio Gomes Mestre
, Regina Moraes
, Fábio Morais, Carlos Eduardo S. Pires, Nádia P. Kozievitch
, Walter dos Santos, Paulo Silva
, Marco Vieira
:
BIGSEA: A Big Data analytics platform for public transportation information. Future Gener. Comput. Syst. 96: 243-269 (2019) - [j7]Marco Lattuada
, Fabrizio Ferrandi
:
A Design Flow Engine for the Support of Customized Dynamic High Level Synthesis Flows. ACM Trans. Reconfigurable Technol. Syst. 12(4): 19:1-19:26 (2019) - [c19]Alexandre Maros, Fabricio Murai, Ana Paula Couto da Silva
, Jussara M. Almeida, Marco Lattuada
, Eugenio Gianniti, Marjan Hosseini
, Danilo Ardagna
:
Machine Learning for Performance Prediction of Spark Cloud Applications. CLOUD 2019: 99-106 - [c18]Vito Giovanni Castellana, Marco Minutoli
, Antonino Tumeo, Marco Lattuada
, Pietro Fezzardi, Fabrizio Ferrandi
:
Software defined architectures for data analytics. ASP-DAC 2019: 711-718 - [c17]Marco Lattuada, Eugenio Gianniti, Marjan Hosseini
, Danilo Ardagna
, Alexandre Maros, Fabricio Murai, Ana Paula Couto da Silva, Jussara M. Almeida:
Gray-Box Models for Performance Assessment of Spark Applications. CLOSER 2019: 609-618 - [c16]Arezoo Jahani, Marco Lattuada
, Michele Ciavotta
, Danilo Ardagna
, Edoardo Amaldi, Li Zhang:
Optimizing on-demand GPUs in the Cloud for Deep Learning Applications Training. ICCCS 2019: 1-8 - 2018
- [j6]Marco Lattuada
, Fabrizio Ferrandi
, Maxime Perrotin:
Data Transfers Analysis in Computer Assisted Design Flow of FPGA Accelerators for Aerospace Systems. IEEE Trans. Multi Scale Comput. Syst. 4(1): 3-16 (2018) - 2017
- [j5]Marco Lattuada
, Fabrizio Ferrandi
:
Exploiting vectorization in high level synthesis of nested irregular loops. J. Syst. Archit. 75: 1-14 (2017) - [j4]Pietro Fezzardi
, Marco Lattuada
, Fabrizio Ferrandi
:
Using Efficient Path Profiling to Optimize Memory Consumption of On-Chip Debugging for High-Level Synthesis. ACM Trans. Embed. Comput. Syst. 16(5s): 149:1-149:19 (2017) - 2016
- [j3]Marco Lattuada
, Christian Pilato
, Fabrizio Ferrandi
:
Performance Estimation of Task Graphs Based on Path Profiling. Int. J. Parallel Program. 44(4): 735-771 (2016) - [c15]Marco Minutoli
, Vito Giovanni Castellana, Antonino Tumeo
, Marco Lattuada
, Fabrizio Ferrandi
:
Enabling the high level synthesis of data analytics accelerators. CODES+ISSS 2016: 15:1-15:3 - [c14]Marco Minutoli
, Vito Giovanni Castellana, Antonino Tumeo
, Fabrizio Ferrandi
, Marco Lattuada
:
A Dynamically Scheduled Architecture for the Synthesis of Graph Database Queries. FCCM 2016: 136 - [c13]Marco Minutoli
, Vito Giovanni Castellana, Antonino Tumeo
, Marco Lattuada
, Fabrizio Ferrandi
:
A dynamically scheduled architecture for the synthesis of graph methods. Hot Chips Symposium 2016: 1-7 - [c12]Marco Minutoli
, Vito Giovanni Castellana, Antonino Tumeo
, Marco Lattuada
, Fabrizio Ferrandi
:
Efficient synthesis of graph methods: a dynamically scheduled architecture. ICCAD 2016: 128 - 2015
- [j2]Marco Lattuada
, Fabrizio Ferrandi
:
Modeling Resolution of Resources Contention in Synchronous Data Flow Graphs. J. Signal Process. Syst. 80(1): 39-47 (2015) - [c11]Marco Lattuada
, Fabrizio Ferrandi
:
Exploiting Outer Loops Vectorization in High Level Synthesis. ARCS 2015: 31-42 - [c10]Marco Lattuada
, Fabrizio Ferrandi
:
Code Transformations Based on Speculative SDC Scheduling. ICCAD 2015: 71-77 - [c9]Vito Giovanni Castellana, Marco Minutoli
, Alessandro Morari, Antonino Tumeo
, Marco Lattuada
, Fabrizio Ferrandi
:
High Level Synthesis of RDF Queries for Graph Analytics. ICCAD 2015: 323-330 - 2013
- [c8]Marco Lattuada
, Fabrizio Ferrandi
:
Modeling pipelined application with Synchronous Data Flow graphs. ICSAMOS 2013: 49-55 - 2012
- [c7]Marco Lattuada
, Fabrizio Ferrandi
:
Performance estimation of embedded software with confidence levels. ASP-DAC 2012: 573-578 - 2010
- [b1]Marco Lattuada:
A methodology for performance estimation of heterogeneous multiprocessors embedded systems. Polytechnic University of Milan, Italy, 2010 - [j1]Koen Bertels, Vlad Mihai Sima
, Yana Yankova, Georgi Kuzmanov, Wayne Luk, José Gabriel F. Coutinho, Fabrizio Ferrandi
, Christian Pilato
, Marco Lattuada
, Donatella Sciuto
, Andrea Michelotti:
HArtes: Hardware-Software Codesign for Heterogeneous Multicore Platforms. IEEE Micro 30(5): 88-97 (2010) - [c6]Marco Lattuada
, Fabrizio Ferrandi
:
Combining Target-independent Analysis with Dynamic Profiling to Build the Performance Model of a DSP. CIT 2010: 1895-1901 - [c5]Marco Lattuada
, Fabrizio Ferrandi
:
Performance modeling of embedded applications with zero architectural knowledge. CODES+ISSS 2010: 277-286 - [c4]Marco Lattuada
, Fabrizio Ferrandi
:
Fine grain analysis of simulators accuracy for calibrating performance models. International Symposium on Rapid System Prototyping 2010: 1-7
2000 – 2009
- 2009
- [c3]Marco Lattuada
, Christian Pilato
, Antonino Tumeo
, Fabrizio Ferrandi
:
Performance modeling of parallel applications on MPSoCs. SoC 2009: 64-67 - [c2]Fabrizio Ferrandi
, Marco Lattuada
, Christian Pilato
, Antonino Tumeo
:
Performance estimation for task graphs combining sequential path profiling and control dependence regions. MEMOCODE 2009: 131-140 - 2007
- [c1]Fabrizio Ferrandi
, Luca Fossati, Marco Lattuada
, Gianluca Palermo
, Donatella Sciuto
, Antonino Tumeo
:
Automatic Parallelization of Sequential Specifications for Symmetric MPSoCs. IESS 2007: 179-192
Coauthor Index
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last updated on 2024-08-05 20:25 CEST by the dblp team
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