Marco Minutoli

58 papers A* 4A 17B 6C 1Misc 4Journal 13Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	DIMPLES: Distributed Influence Maximization for Pandemic pLanning on Exascale Systems. ICS Marco Minutoli, Reece Neff, Naw Safrin Sattar, Hao Lu, John Feo, Henning S. Mortveit, Anil Vullikanti, Dawen Xie, Mandy L. Wilson, Gregor von Laszewski, Parantapa Bhattacharya, S. M. Ferdous, Ananth Kalyanaraman, Michela Becchi, Madhav V. Marathe, Mahantesh Halappanavar
2025	—	`conf`	ELRUHNA: Elimination Rule-Based Hypergraph Alignment. ASONAM (1) Cameron Ibrahim, S. M. Ferdous, Ilya Safro, Marco Minutoli, Mahantesh Halappanavar
2025	J	`jnl`	ELRUHNA: Elimination Rule-basedHypergraph Alignment. CoRR Cameron Ibrahim, S. M. Ferdous, Ilya Safro, Marco Minutoli, Mahantesh Halappanavar
2025	J	`jnl`	GreediRIS: Scalable influence maximization using distributed streaming maximum cover. J. Parallel Distributed Comput. Reet Barik, Wade Cappa, S. M. Ferdous, Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman
2025	A	`conf`	Neuromorphic Architectures for Scientific Computing: a Structural Characterization Case Study. ICCAD M. Lakshmi Varshika, Jonathan Hollenbach, Nicolas Bohm Agostini, Ankur Limaye, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, Anup Das, Mitra Taheri, Antonino Tumeo
2025	J	`jnl`	SPARTA: High-Level Synthesis of Parallel Multi-Threaded Accelerators. ACM Trans. Reconfigurable Technol. Syst. Giovanni Gozzi, Michele Fiorito, Serena Curzel, Claudio Barone, Vito Giovanni Castellana, Marco Minutoli, Antonino Tumeo, Fabrizio Ferrandi
2024	J	`jnl`	An Integrated Epidemic Simulation Workflow for Submodular Intervention Strategies. CoRR Reet Barik, Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman
2024	B	`conf`	Custom Accessors: Enabling Scalable Data Ingestion, (Re-)Organization, and Analysis on Distributed Systems. IEEE Big Data Vito Giovanni Castellana, Burcu O. Mutlu, Ian Di Dio Lavore, Jesun Firoz, Katherine E. Wolf, Marco Minutoli, John Feo
2024	A	`conf`	Extending High-Level Synthesis with AI/ML Methods. ICCAD Nicolas Bohm Agostini, Giovanni Gozzi, Michele Fiorito, Claudio Barone, Serena Curzel, Ankur Limaye, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, Fabrizio Ferrandi, Antonino Tumeo
2024	A	`conf`	FuseIM: Fusing Probabilistic Traversals for Influence Maximization on Exascale Systems. ICS Reece Neff, Mostafa Eghbali Zarch, Marco Minutoli, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Michela Becchi
2024	J	`jnl`	GreediRIS: Scalable Influence Maximization using Distributed Streaming Maximum Cover. CoRR Reet Barik, Wade Cappa, S. M. Ferdous, Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman
2024	J	`jnl`	Learning to Simulate Aerosol Dynamics with Graph Neural Networks. CoRR Fabiana Ferracina, Payton Beeler, Mahantesh Halappanavar, Bala Krishnamoorthy, Marco Minutoli, Laura Fierce
2024	A	`conf`	Picasso: Memory-Efficient Graph Coloring Using Palettes With Applications in Quantum Computing. IPDPS S. M. Ferdous, Reece Neff, Bo Peng, Salman Shuvo, Marco Minutoli, Sayak Mukherjee, Karol Kowalski, Michela Becchi, Mahantesh Halappanavar
2024	B	`conf`	Towards Automated Generation of Chiplet-Based Systems Invited Paper. ASPDAC 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
2024	J	`jnl`	\texttt{Picasso}: Memory-Efficient Graph Coloring Using Palettes With Applications in Quantum Computing. CoRR S. M. Ferdous, Reece Neff, Bo Peng, Salman Shuvo, Marco Minutoli, Sayak Mukherjee, Karol Kowalski, Michela Becchi, Mahantesh Halappanavar
2023	—	`conf`	AGILE Workflows and Graphs. CF Marco Minutoli, John Feo
2023	J	`jnl`	Fused Breadth-First Probabilistic Traversals on Distributed GPU Systems. CoRR Reece Neff, Mostafa Eghbali Zarch, Marco Minutoli, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Michela Becchi
2023	—	`conf`	High-Level Synthesis of Irregular Applications: A Case Study on Influence Maximization. CF Reece Neff, Marco Minutoli, Antonino Tumeo, Michela Becchi
2023	—	`conf`	Towards On-Chip Learning for Low Latency Reasoning with End-to-End Synthesis. ASP-DAC Vito Giovanni Castellana, Nicolas Bohm Agostini, Ankur Limaye, Vinay Amatya, Marco Minutoli, Joseph B. Manzano, Antonino Tumeo, Serena Curzel, Michele Fiorito, Fabrizio Ferrandi
2022	B	`conf`	Accelerating Random Forest Classification on GPU and FPGA. ICPP Milan Shah, Reece Neff, Hancheng Wu, Marco Minutoli, Antonino Tumeo, Michela Becchi
2022	A	`conf`	An MLIR-based Compiler Flow for System-Level Design and Hardware Acceleration. ICCAD Nicolas Bohm Agostini, Serena Curzel, Vinay Amatya, Cheng Tan, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, David R. Kaeli, Antonino Tumeo
2022	J	`jnl`	Bridging Python to Silicon: The SODA Toolchain. IEEE Micro 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
2022	J	`jnl`	End-to-End Synthesis of Dynamically Controlled Machine Learning Accelerators. IEEE Trans. Computers 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
2022	—	`conf`	From High-Level Frameworks to custom Silicon with SODA. HCS 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
2022	B	`conf`	HBMax: Optimizing Memory Efficiency for Parallel Influence Maximization on Multicore Architectures. PACT Xinyu Chen, Marco Minutoli, Jiannan Tian, Mahantesh Halappanavar, Ananth Kalyanaraman, Dingwen Tao
2022	J	`jnl`	HBMax: Optimizing Memory Efficiency for Parallel Influence Maximization on Multicore Architectures. CoRR Xinyu Chen, Marco Minutoli, Jiannan Tian, Mahantesh Halappanavar, Ananth Kalyanaraman, Dingwen Tao
2022	Misc	`conf`	IMpart: A Partitioning-based Parallel Approach to Accelerate Influence Maximization. HIPC Reet Barik, Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman
2022	—	`conf`	SO(DA) PARMA-DITAM@HiPEAC Antonino Tumeo, Nicolas Bohm Agostini, Serena Curzel, Ankur Limaye, Cheng Tan, Vinay Amatya, Marco Minutoli, Vito Giovanni Castellana, Ang Li, Joseph B. Manzano
2022	A	`conf`	SODA Synthesizer: An Open-Source, Multi-Level, Modular, Extensible Compiler from High-Level Frameworks to Silicon. ICCAD Nicolas Bohm Agostini, Ankur Limaye, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, Antonino Tumeo, Serena Curzel, Fabrizio Ferrandi
2022	A*	`conf`	Scalable and Memory-Efficient Algorithms for Controlling Networked Epidemic Processes Using Multiplicative Weights Update Method. IJCAI Prathyush Sambaturu, Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman, Anil Vullikanti
2022	J	`jnl`	Svelto: High-Level Synthesis of Multi-Threaded Accelerators for Graph Analytics. IEEE Trans. Computers Marco Minutoli, Vito Giovanni Castellana, Nicola Saporetti, Stefano Devecchi, Marco Lattuada, Pietro Fezzardi, Antonino Tumeo, Fabrizio Ferrandi
2022	A*	`conf`	The SODA approach: leveraging high-level synthesis for hardware/software co-design and hardware specialization: invited. DAC Nicolas Bohm Agostini, Serena Curzel, Ankur Limaye, Vinay Amatya, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, Antonino Tumeo, Fabrizio Ferrandi
2021	A	`conf`	Automated Generation of Integrated Digital and Spiking Neuromorphic Machine Learning Accelerators. ICCAD 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
2021	J	`jnl`	EXAGRAPH: Graph and combinatorial methods for enabling exascale applications. Int. J. High Perform. Comput. Appl. 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
2021	—	`conf`	Graph analytics in the exascale era. CF Mahantesh Halappanavar, Marco Minutoli, Sayan Ghosh
2021	A*	`conf`	Invited: Bambu: an Open-Source Research Framework for the High-Level Synthesis of Complex Applications. DAC Fabrizio Ferrandi, Vito Giovanni Castellana, Serena Curzel, Pietro Fezzardi, Michele Fiorito, Marco Lattuada, Marco Minutoli, Christian Pilato, Antonino Tumeo
2021	—	`conf`	OpenCGRA: Democratizing Coarse-Grained Reconfigurable Arrays. ASAP Cheng Tan, Nicolas Bohm Agostini, Jeff Zhang, Marco Minutoli, Vito Giovanni Castellana, Chenhao Xie, Tong Geng, Ang Li, Kevin J. Barker, Antonino Tumeo
2021	A	`conf`	Productive Programming of Distributed Systems with the SHAD C++ Library. HPDC Vito Giovanni Castellana, Marco Minutoli
2021	A	`conf`	Single-node partitioned-memory for huge graph analytics: cost and performance trade-offs. SC Sayan Ghosh, Nathan R. Tallent, Marco Minutoli, Mahantesh Halappanavar, Ramesh Peri, Ananth Kalyanaraman
2021	—	`conf`	Towards Automatic and Agile AI/ML Accelerator Design with End-to-End Synthesis. ASAP 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
2020	A*	`conf`	Invited: Software Defined Accelerators From Learning Tools Environment. DAC Antonino Tumeo, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, Vinay Amatya, David Brooks, Gu-Yeon Wei
2020	A	`conf`	Practical Distributed Programming in C++. HPDC Maurizio Drocco, Vito Giovanni Castellana, Marco Minutoli
2020	A	`conf`	Preempt: scalable epidemic interventions using submodular optimization on multi-GPU systems. SC Marco Minutoli, Prathyush Sambaturu, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Anil Vullikanti
2020	A	`conf`	SODA: a New Synthesis Infrastructure for Agile Hardware Design of Machine Learning Accelerators. ICCAD Marco Minutoli, Vito Giovanni Castellana, Cheng Tan, Joseph B. Manzano, Vinay Amatya, Antonino Tumeo, David Brooks, Gu-Yeon Wei
2020	—	`conf`	Vertex Reordering for Real-World Graphs and Applications: An Empirical Evaluation. IISWC Reet Barik, Marco Minutoli, Mahantesh Halappanavar, Nathan R. Tallent, Ananth Kalyanaraman
2020	A	`conf`	cuRipples: influence maximization on multi-GPU systems. ICS Marco Minutoli, Maurizio Drocco, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman
2019	A	`conf`	A Parallel Graph Environment for Real-World Data Analytics Workflows. DATE 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
2019	C	`conf`	Fast and Scalable Implementations of Influence Maximization Algorithms. CLUSTER Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman, Arun V. Sathanur, Ryan S. McClure, Jason E. McDermott
2019	—	`conf`	Software defined architectures for data analytics. ASP-DAC Vito Giovanni Castellana, Marco Minutoli, Antonino Tumeo, Marco Lattuada, Pietro Fezzardi, Fabrizio Ferrandi
2018	B	`conf`	SHAD: The Scalable High-Performance Algorithms and Data-Structures Library. CCGrid Vito Giovanni Castellana, Marco Minutoli
2017	—	`conf`	High-Performance Data Analytics Beyond the Relational and Graph Data Models with GEMS. IPDPS Workshops Vito Giovanni Castellana, Marco Minutoli, Shreyansh Bhatt, Khushbu Agarwal, Arthur Bleeker, John Feo, Daniel G. Chavarría-Miranda, David J. Haglin
2016	Misc	`conf`	A Dynamically Scheduled Architecture for the Synthesis of Graph Database Queries. FCCM Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Fabrizio Ferrandi, Marco Lattuada
2016	—	`conf`	A dynamically scheduled architecture for the synthesis of graph methods. Hot Chips Symposium Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Marco Lattuada, Fabrizio Ferrandi
2016	A	`conf`	Efficient synthesis of graph methods: a dynamically scheduled architecture. ICCAD Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Marco Lattuada, Fabrizio Ferrandi
2016	Misc	`conf`	Enabling the high level synthesis of data analytics accelerators. CODES+ISSS Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Marco Lattuada, Fabrizio Ferrandi
2015	Misc	`conf`	Function Proxies for Improved Resource Sharing in High Level Synthesis. FCCM Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Fabrizio Ferrandi
2015	A	`conf`	High Level Synthesis of RDF Queries for Graph Analytics. ICCAD Vito Giovanni Castellana, Marco Minutoli, Alessandro Morari, Antonino Tumeo, Marco Lattuada, Fabrizio Ferrandi
2015	B	`conf`	Inter-procedural resource sharing in High Level Synthesis through function proxies. FPL Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Fabrizio Ferrandi