Marco Minutoli

According to our database, Marco Minutoli authored at least 49 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

An Integrated Epidemic Simulation Workflow for Submodular Intervention Strategies.

Reet Barik, Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman

CoRR, 2024

Learning to Simulate Aerosol Dynamics with Graph Neural Networks.

Fabiana Ferracina, Payton Beeler, Mahantesh Halappanavar, Bala Krishnamoorthy, Marco Minutoli, Laura Fierce

CoRR, 2024

GreediRIS: Scalable Influence Maximization using Distributed Streaming Maximum Cover.

Reet Barik, Wade Cappa, S. M. Ferdous, Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman

CoRR, 2024

\texttt{Picasso}: Memory-Efficient Graph Coloring Using Palettes With Applications in Quantum Computing.

S. M. Ferdous, Reece Neff, Bo Peng, Salman Shuvo, Marco Minutoli, Sayak Mukherjee, Karol Kowalski, Michela Becchi, Mahantesh Halappanavar

CoRR, 2024

Picasso: Memory-Efficient Graph Coloring Using Palettes With Applications in Quantum Computing.

S. M. Ferdous, Reece Neff, Bo Peng, Salman Shuvo, Marco Minutoli, Sayak Mukherjee, Karol Kowalski, Michela Becchi, Mahantesh Halappanavar

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

FuseIM: Fusing Probabilistic Traversals for Influence Maximization on Exascale Systems.

Reece Neff, Mostafa Eghbali Zarch, Marco Minutoli, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Michela Becchi

Proceedings of the 38th ACM International Conference on Supercomputing, 2024

Towards Automated Generation of Chiplet-Based Systems Invited Paper.

Ankur Limaye, Claudio Barone, Nicolas Bohm Agostini, Marco Minutoli, Joseph B. Manzano, Vito Giovanni Castellana, Giovanni Gozzi, Michele Fiorito, Serena Curzel, Fabrizio Ferrandi, Antonino Tumeo

Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

2023

Fused Breadth-First Probabilistic Traversals on Distributed GPU Systems.

Reece Neff, Mostafa Eghbali Zarch, Marco Minutoli, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Michela Becchi

CoRR, 2023

High-Level Synthesis of Irregular Applications: A Case Study on Influence Maximization.

Reece Neff, Marco Minutoli, Antonino Tumeo, Michela Becchi

Proceedings of the 20th ACM International Conference on Computing Frontiers, 2023

AGILE Workflows and Graphs.

Marco Minutoli, John Feo

Proceedings of the 20th ACM International Conference on Computing Frontiers, 2023

Towards On-Chip Learning for Low Latency Reasoning with End-to-End Synthesis.

Vito Giovanni Castellana, Nicolas Bohm Agostini, Ankur Limaye, Vinay Amatya, Marco Minutoli, Joseph B. Manzano, Antonino Tumeo, Serena Curzel, Michele Fiorito, Fabrizio Ferrandi

Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

2022

Svelto: High-Level Synthesis of Multi-Threaded Accelerators for Graph Analytics.

Marco Minutoli, Vito Giovanni Castellana, Nicola Saporetti, Stefano Devecchi, Marco Lattuada, Pietro Fezzardi, Antonino Tumeo, Fabrizio Ferrandi

IEEE Trans. Computers, 2022

End-to-End Synthesis of Dynamically Controlled Machine Learning Accelerators.

Serena Curzel, Nicolas Bohm Agostini, Vito Giovanni Castellana, Marco Minutoli, Ankur Limaye, Joseph B. Manzano, Jeff Zhang, David Brooks, Gu-Yeon Wei, Fabrizio Ferrandi, Antonino Tumeo

IEEE Trans. Computers, 2022

Bridging Python to Silicon: The SODA Toolchain.

Nicolas Bohm Agostini, Serena Curzel, Jeff Jun Zhang, Ankur Limaye, Cheng Tan, Vinay Amatya, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, David Brooks, Gu-Yeon Wei, Antonino Tumeo

IEEE Micro, 2022

Scalable and Memory-Efficient Algorithms for Controlling Networked Epidemic Processes Using Multiplicative Weights Update Method.

Prathyush Sambaturu, Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman, Anil Vullikanti

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Accelerating Random Forest Classification on GPU and FPGA.

Milan Shah, Reece Neff, Hancheng Wu, Marco Minutoli, Antonino Tumeo, Michela Becchi

Proceedings of the 51st International Conference on Parallel Processing, 2022

SODA Synthesizer: An Open-Source, Multi-Level, Modular, Extensible Compiler from High-Level Frameworks to Silicon.

Nicolas Bohm Agostini, Ankur Limaye, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, Antonino Tumeo, Serena Curzel, Fabrizio Ferrandi

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

An MLIR-based Compiler Flow for System-Level Design and Hardware Acceleration.

Nicolas Bohm Agostini, Serena Curzel, Vinay Amatya, Cheng Tan, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, David R. Kaeli, Antonino Tumeo

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

From High-Level Frameworks to custom Silicon with SODA.

Serena Curzel, Nicolas Bohm Agostini, Reece Neff, Ankur Limaye, Jeff Jun Zhang, Vinay Amatya, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, David Brooks, Gu-Yeon Wei, Fabrizio Ferrandi, Antonino Tumeo

Proceedings of the 2022 IEEE Hot Chips 34 Symposium, 2022

SO(DA)²: End-to-end Generation of Specialized Reconfigurable Architectures (Invited Talk).

Antonino Tumeo, Nicolas Bohm Agostini, Serena Curzel, Ankur Limaye, Cheng Tan, Vinay Amatya, Marco Minutoli, Vito Giovanni Castellana, Ang Li, Joseph B. Manzano

Proceedings of the 13th Workshop on Parallel Programming and Run-Time Management Techniques for Many-Core Architectures and 11th Workshop on Design Tools and Architectures for Multicore Embedded Computing Platforms, 2022

IMpart: A Partitioning-based Parallel Approach to Accelerate Influence Maximization.

Reet Barik, Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman

Proceedings of the 29th IEEE International Conference on High Performance Computing, 2022

The SODA approach: leveraging high-level synthesis for hardware/software co-design and hardware specialization: invited.

Nicolas Bohm Agostini, Serena Curzel, Ankur Limaye, Vinay Amatya, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, Antonino Tumeo, Fabrizio Ferrandi

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

HBMax: Optimizing Memory Efficiency for Parallel Influence Maximization on Multicore Architectures.

Xinyu Chen, Marco Minutoli, Jiannan Tian, Mahantesh Halappanavar, Ananth Kalyanaraman, Dingwen Tao

Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2022

2021

EXAGRAPH: Graph and combinatorial methods for enabling exascale applications.

Seher Acer, Ariful Azad, Erik G. Boman, Aydin Buluç, Karen D. Devine, S. M. Ferdous, Nitin Gawande, Sayan Ghosh, Mahantesh Halappanavar, Ananth Kalyanaraman, Arif Khan, Marco Minutoli, Alex Pothen, Sivasankaran Rajamanickam, Oguz Selvitopi, Nathan R. Tallent, Antonino Tumeo

Int. J. High Perform. Comput. Appl., 2021

Single-node partitioned-memory for huge graph analytics: cost and performance trade-offs.

Sayan Ghosh, Nathan R. Tallent, Marco Minutoli, Mahantesh Halappanavar, Ramesh Peri, Ananth Kalyanaraman

Proceedings of the International Conference for High Performance Computing, 2021

Automated Generation of Integrated Digital and Spiking Neuromorphic Machine Learning Accelerators.

Serena Curzel, Nicolas Bohm Agostini, Shihao Song, Ismet Dagli, Ankur Limaye, Cheng Tan, Marco Minutoli, Vito Giovanni Castellana, Vinay Amatya, Joseph B. Manzano, Anup Das, Fabrizio Ferrandi, Antonino Tumeo

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

Productive Programming of Distributed Systems with the SHAD C++ Library.

Vito Giovanni Castellana, Marco Minutoli

Proceedings of the HPDC '21: The 30th International Symposium on High-Performance Parallel and Distributed Computing, 2021

Invited: Bambu: an Open-Source Research Framework for the High-Level Synthesis of Complex Applications.

Fabrizio Ferrandi, Vito Giovanni Castellana, Serena Curzel, Pietro Fezzardi, Michele Fiorito, Marco Lattuada, Marco Minutoli, Christian Pilato, Antonino Tumeo

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

Graph analytics in the exascale era.

Mahantesh Halappanavar, Marco Minutoli, Sayan Ghosh

Proceedings of the CF '21: Computing Frontiers Conference, 2021

Towards Automatic and Agile AI/ML Accelerator Design with End-to-End Synthesis.

Jeff Jun Zhang, Nicolas Bohm Agostini, Shihao Song, Cheng Tan, Ankur Limaye, Vinay Amatya, Joseph B. Manzano, Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Gu-Yeon Wei, David Brooks

Proceedings of the 32nd IEEE International Conference on Application-specific Systems, 2021

OpenCGRA: Democratizing Coarse-Grained Reconfigurable Arrays.

Cheng Tan, Nicolas Bohm Agostini, Jeff Zhang, Marco Minutoli, Vito Giovanni Castellana, Chenhao Xie, Tong Geng, Ang Li, Kevin J. Barker, Antonino Tumeo

Proceedings of the 32nd IEEE International Conference on Application-specific Systems, 2021

2020

Preempt: scalable epidemic interventions using submodular optimization on multi-GPU systems.

Marco Minutoli, Prathyush Sambaturu, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Anil Vullikanti

Proceedings of the International Conference for High Performance Computing, 2020

Vertex Reordering for Real-World Graphs and Applications: An Empirical Evaluation.

Reet Barik, Marco Minutoli, Mahantesh Halappanavar, Nathan R. Tallent, Ananth Kalyanaraman

Proceedings of the IEEE International Symposium on Workload Characterization, 2020

cuRipples: influence maximization on multi-GPU systems.

Marco Minutoli, Maurizio Drocco, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman

Proceedings of the ICS '20: 2020 International Conference on Supercomputing, 2020

SODA: a New Synthesis Infrastructure for Agile Hardware Design of Machine Learning Accelerators.

Marco Minutoli, Vito Giovanni Castellana, Cheng Tan, Joseph B. Manzano, Vinay Amatya, Antonino Tumeo, David Brooks, Gu-Yeon Wei

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

Practical Distributed Programming in C++.

Maurizio Drocco, Vito Giovanni Castellana, Marco Minutoli

Proceedings of the HPDC '20: The 29th International Symposium on High-Performance Parallel and Distributed Computing, 2020

Invited: Software Defined Accelerators From Learning Tools Environment.

Antonino Tumeo, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, Vinay Amatya, David Brooks, Gu-Yeon Wei

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

2019

A Parallel Graph Environment for Real-World Data Analytics Workflows.

Vito Giovanni Castellana, Maurizio Drocco, John Feo, Jesun Sahariar Firoz, Thejaka Amila Kanewala, Andrew Lumsdaine, Joseph B. Manzano, Andres Marquez, Marco Minutoli, Joshua Suetterlein, Antonino Tumeo, Marcin Zalewski

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

Fast and Scalable Implementations of Influence Maximization Algorithms.

Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman, Arun V. Sathanur, Ryan S. McClure, Jason E. McDermott

Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019

Software defined architectures for data analytics.

Vito Giovanni Castellana, Marco Minutoli, Antonino Tumeo, Marco Lattuada, Pietro Fezzardi, Fabrizio Ferrandi

Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019

2018

SHAD: The Scalable High-Performance Algorithms and Data-Structures Library.

Vito Giovanni Castellana, Marco Minutoli

Proceedings of the 18th IEEE/ACM International Symposium on Cluster, 2018

2017

High-Performance Data Analytics Beyond the Relational and Graph Data Models with GEMS.

Vito Giovanni Castellana, Marco Minutoli, Shreyansh Bhatt, Khushbu Agarwal, Arthur Bleeker, John Feo, Daniel G. Chavarría-Miranda, David J. Haglin

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

2016

Efficient synthesis of graph methods: a dynamically scheduled architecture.

Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Marco Lattuada, Fabrizio Ferrandi

Proceedings of the 35th International Conference on Computer-Aided Design, 2016

A dynamically scheduled architecture for the synthesis of graph methods.

Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Marco Lattuada, Fabrizio Ferrandi

Proceedings of the 2016 IEEE Hot Chips 28 Symposium (HCS), 2016

A Dynamically Scheduled Architecture for the Synthesis of Graph Database Queries.

Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Fabrizio Ferrandi, Marco Lattuada

Proceedings of the 24th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2016

Enabling the high level synthesis of data analytics accelerators.

Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Marco Lattuada, Fabrizio Ferrandi

Proceedings of the Eleventh IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis, 2016

2015

High Level Synthesis of RDF Queries for Graph Analytics.

Vito Giovanni Castellana, Marco Minutoli, Alessandro Morari, Antonino Tumeo, Marco Lattuada, Fabrizio Ferrandi

Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2015

Inter-procedural resource sharing in High Level Synthesis through function proxies.

Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Fabrizio Ferrandi

Proceedings of the 25th International Conference on Field Programmable Logic and Applications, 2015

Function Proxies for Improved Resource Sharing in High Level Synthesis.

Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Fabrizio Ferrandi

Proceedings of the 23rd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2015