Marco Lattuada

459 citations

40 papers · 258 indexed · h-index 10

Hardware and Architecture top 5%
Computer Networks and Communications top 10%
Information Systems top 10%
Artificial Intelligence
Electrical and Electronic Engineering

Co-authors: Fabrizio Ferrandi Danilo Ardagna Antonino Tumeo Marco Minutoli Vito Giovanni Castellana Christian Pilato Li Zhang Michele Ciavotta
Topics: Parallel Computing and Optimization Techniques (22 papers)Embedded Systems Design Techniques (17 papers)Interconnection Networks and Systems (11 papers)
Cited by: Hardware and Architecture Computer Networks and Communications Information Systems
Journals: SHILAP Revista de lepidopterologíaIEEE Transactions on Computers IEEE Micro
Partner nations: Italy United States Iran

In The Last Decade

Marco Lattuada

38 papers receiving 245 citations

Peers

Countries citing papers authored by Marco Lattuada

Since Specialization

Citations

This map shows the geographic impact of Marco Lattuada's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Marco Lattuada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Lattuada more than expected).

Fields of papers citing papers by Marco Lattuada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marco Lattuada. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marco Lattuada. The network helps show where Marco Lattuada may publish in the future.

Co-authorship network of co-authors of Marco Lattuada

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Lattuada. A scholar is included among the top collaborators of Marco Lattuada based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marco Lattuada. Marco Lattuada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	aMLLibrary: An AutoML Approach For Performance Prediction 2023 ·(unknown),Marco Lattuada,Danilo Ardagna	2
2	Performance prediction of deep learning applications training in GPU as a service systems 2022 ·Cluster Computing ·Marco Lattuada,(unknown),Danilo Ardagna,Li Zhang	16
3	A Path Relinking Method for the Joint Online Scheduling and Capacity Allocation of DL Training Workloads in GPU as a Service Systems 2022 ·IEEE Transactions on Services Computing ·(unknown),Marco Lattuada,Michele Ciavotta,(unknown),Danilo Ardagna,E. Amaldi	3
4	Invited: Bambu: an Open-Source Research Framework for the High-Level Synthesis of Complex Applications 2021 ·Virtual Community of Pathological Anatomy (University of Castilla La Mancha) ·Fabrizio Ferrandi,Vito Giovanni Castellana,(unknown),(unknown),(unknown),Marco Lattuada,Marco Minutoli,Christian Pilato,Antonino Tumeo	41
5	ANDREAS: Artificial intelligence traiNing scheDuler for accElerAted resource clusterS 2021 ·BOA (University of Milano-Bicocca) ·(unknown),Danilo Ardagna,Marco Lattuada,E. Amaldi,(unknown),(unknown),(unknown),Michele Ciavotta,(unknown),(unknown)	7
6	Svelto: High-Level Synthesis of Multi-Threaded Accelerators for Graph Analytics 2021 ·IEEE Transactions on Computers ·Marco Minutoli,Vito Giovanni Castellana,(unknown),(unknown),Marco Lattuada,(unknown),Antonino Tumeo,Fabrizio Ferrandi	13
7	Synthetic image dataset of shaft junctions inside wind turbines in presence or absence of oil leaks 2021 ·SHILAP Revista de lepidopterología ·(unknown),Danilo Pau,Laura Falaschetti,Claudio Turchetti,Marco Lattuada	3
8	Performance Prediction of Deep~Learning Applications Training in GPU as a Service Systems 2021 ·Zenodo (CERN European Organization for Nuclear Research) ·Marco Lattuada,(unknown),Danilo Ardagna,Li Zhang	1
9	Optimal Resource Allocation of Cloud-Based Spark Applications 2020 ·IEEE Transactions on Cloud Computing ·Marco Lattuada,Enrico Barbierato,(unknown),Danilo Ardagna	11
10	Architectural Design of Cloud Applications: A Performance-Aware Cost Minimization Approach 2020 ·IEEE Transactions on Cloud Computing ·Michele Ciavotta,(unknown),Danilo Ardagna,Elisabetta Di Nitto,Marco Lattuada,(unknown)	9
11	Hierarchical Scheduling in on-demand GPU-as-a-Service Systems 2020 ·BOA (University of Milano-Bicocca) ·(unknown),Marco Lattuada,(unknown),Michele Ciavotta,Danilo Ardagna,E. Amaldi	2
12	Optimizing on-demand GPUs in the Cloud for Deep Learning Applications Training 2019 ·BOA (University of Milano-Bicocca) ·(unknown),Marco Lattuada,Michele Ciavotta,Danilo Ardagna,E. Amaldi,Li Zhang	5
13	Machine Learning for Performance Prediction of Spark Cloud Applications 2019 ·Virtual Community of Pathological Anatomy (University of Castilla La Mancha) ·(unknown),Fabrício Murai,Ana Paula Couto da Silva,Jussara M. Almeida,Marco Lattuada,(unknown),(unknown),Danilo Ardagna	25
14	Using Efficient Path Profiling to Optimize Memory Consumption of On-Chip Debugging for High-Level Synthesis 2017 ·ACM Transactions on Embedded Computing Systems ·(unknown),Marco Lattuada,Fabrizio Ferrandi	7
15	Exploiting vectorization in high level synthesis of nested irregular loops 2017 ·Journal of Systems Architecture ·Marco Lattuada,Fabrizio Ferrandi	10
16	Efficient synthesis of graph methods: A dynamically scheduled architecture 2016 ·IEEE Conference Proceedings ·Marco Minutoli,(unknown),Antonino Tumeo,Marco Lattuada,Fabrizio Ferrandi	1
17	Computer assisted design and integration of FPGA accelerators in aerospace systems 2016 ·Virtual Community of Pathological Anatomy (University of Castilla La Mancha) ·Marco Lattuada,Fabrizio Ferrandi,(unknown)	2
18	Code Transformations Based on Speculative SDC Scheduling 2015 ·International Conference on Computer Aided Design ·Marco Lattuada,Fabrizio Ferrandi	7
19	Combining Target-independent Analysis with Dynamic Profiling to Build the Performance Model of a DSP 2010 ·Virtual Community of Pathological Anatomy (University of Castilla La Mancha) ·Marco Lattuada,Fabrizio Ferrandi	1
20	Performance estimation for task graphs combining sequential path profiling and control dependence regions 2009 ·Virtual Community of Pathological Anatomy (University of Castilla La Mancha) ·Fabrizio Ferrandi,Marco Lattuada,Christian Pilato,Antonino Tumeo	3

About Marco Lattuada

Marco Lattuada is a scholar working on Hardware and Architecture, Computer Networks and Communications and Software, having authored 40 papers that have together received 258 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (22 papers), Embedded Systems Design Techniques (17 papers) and Interconnection Networks and Systems (11 papers). The work is most often cited by research in Hardware and Architecture (133 citations), Computer Networks and Communications (116 citations) and Information Systems (75 citations). Marco Lattuada has collaborated with scholars based in Italy, United States and Iran. Frequent co-authors include Fabrizio Ferrandi, Danilo Ardagna, Antonino Tumeo, Marco Minutoli, Vito Giovanni Castellana, Christian Pilato, Li Zhang, Michele Ciavotta, Ana Paula Couto da Silva and Fabrício Murai. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Computers and IEEE Micro.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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