Marco Minutoli

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 44

Top Topics

High Level Synthesis

Influence Maximization

Top Venues

Publications

S. M. Ferdous, Reece Neff, Bo Peng, Salman Shuvo, Marco Minutoli, Sayak Mukherjee, Karol Kowalski, Michela Becchi, Mahantesh Halappanavar
\texttt{Picasso}: Memory-Efficient Graph Coloring Using Palettes With Applications in Quantum Computing. CoRR (2024)
Reece Neff, Mostafa Eghbali Zarch, Marco Minutoli, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Michela Becchi
Fused Breadth-First Probabilistic Traversals on Distributed GPU Systems. CoRR (2023)
Marco Minutoli, John Feo
AGILE Workflows and Graphs. CF (2023)
Vito Giovanni Castellana, Nicolas Bohm Agostini, Ankur Limaye, Vinay Amatya, Marco Minutoli, Joseph B. Manzano, Antonino Tumeo, Serena Curzel, Michele Fiorito, Fabrizio Ferrandi
Towards On-Chip Learning for Low Latency Reasoning with End-to-End Synthesis. ASP-DAC (2023)
Reece Neff, Marco Minutoli, Antonino Tumeo, Michela Becchi
High-Level Synthesis of Irregular Applications: A Case Study on Influence Maximization. CF (2023)
Nicolas Bohm Agostini, Serena Curzel, Ankur Limaye, Vinay Amatya, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, Antonino Tumeo, Fabrizio Ferrandi
The SODA approach: leveraging high-level synthesis for hardware/software co-design and hardware specialization: invited. DAC (2022)
Antonino Tumeo, Nicolas Bohm Agostini, Serena Curzel, Ankur Limaye, Cheng Tan, Vinay Amatya, Marco Minutoli, Vito Giovanni Castellana, Ang Li, Joseph B. Manzano
: End-to-end Generation of Specialized Reconfigurable Architectures (Invited Talk). PARMA-DITAM@HiPEAC (2022)
Xinyu Chen, Marco Minutoli, Jiannan Tian, Mahantesh Halappanavar, Ananth Kalyanaraman, Dingwen Tao
HBMax: Optimizing Memory Efficiency for Parallel Influence Maximization on Multicore Architectures. PACT (2022)
Milan Shah, Reece Neff, Hancheng Wu, Marco Minutoli, Antonino Tumeo, Michela Becchi
Accelerating Random Forest Classification on GPU and FPGA. ICPP (2022)
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) (2022)
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
From High-Level Frameworks to custom Silicon with SODA. HCS (2022)
Nicolas Bohm Agostini, Serena Curzel, Vinay Amatya, Cheng Tan, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, David R. Kaeli, Antonino Tumeo
An MLIR-based Compiler Flow for System-Level Design and Hardware Acceleration. ICCAD (2022)
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
Bridging Python to Silicon: The SODA Toolchain. IEEE Micro 42 (5) (2022)
Nicolas Bohm Agostini, Ankur Limaye, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, Antonino Tumeo, Serena Curzel, Fabrizio Ferrandi
SODA Synthesizer: An Open-Source, Multi-Level, Modular, Extensible Compiler from High-Level Frameworks to Silicon. ICCAD (2022)
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
End-to-End Synthesis of Dynamically Controlled Machine Learning Accelerators. IEEE Trans. Computers 71 (12) (2022)
Prathyush Sambaturu, Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman, Anil Vullikanti
Scalable and Memory-Efficient Algorithms for Controlling Networked Epidemic Processes Using Multiplicative Weights Update Method. IJCAI (2022)
Xinyu Chen, Marco Minutoli, Jiannan Tian, Mahantesh Halappanavar, Ananth Kalyanaraman, Dingwen Tao
HBMax: Optimizing Memory Efficiency for Parallel Influence Maximization on Multicore Architectures. CoRR (2022)
Reet Barik, Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman
IMpart: A Partitioning-based Parallel Approach to Accelerate Influence Maximization. HIPC (2022)
Vito Giovanni Castellana, Marco Minutoli
Productive Programming of Distributed Systems with the SHAD C++ Library. HPDC (2021)
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
EXAGRAPH: Graph and combinatorial methods for enabling exascale applications. Int. J. High Perform. Comput. Appl. 35 (6) (2021)
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
Towards Automatic and Agile AI/ML Accelerator Design with End-to-End Synthesis. ASAP (2021)
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
Automated Generation of Integrated Digital and Spiking Neuromorphic Machine Learning Accelerators. ICCAD (2021)
Cheng Tan, Nicolas Bohm Agostini, Jeff Zhang, Marco Minutoli, Vito Giovanni Castellana, Chenhao Xie, Tong Geng, Ang Li, Kevin J. Barker, Antonino Tumeo
OpenCGRA: Democratizing Coarse-Grained Reconfigurable Arrays. ASAP (2021)
Sayan Ghosh, Nathan R. Tallent, Marco Minutoli, Mahantesh Halappanavar, Ramesh Peri, Ananth Kalyanaraman
Single-node partitioned-memory for huge graph analytics: cost and performance trade-offs. SC (2021)
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)
Mahantesh Halappanavar, Marco Minutoli, Sayan Ghosh
Graph analytics in the exascale era. CF (2021)
Marco Minutoli, Prathyush Sambaturu, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Anil Vullikanti
Preempt: scalable epidemic interventions using submodular optimization on multi-GPU systems. SC (2020)
Marco Minutoli, Vito Giovanni Castellana, Cheng Tan, Joseph B. Manzano, Vinay Amatya, Antonino Tumeo, David Brooks, Gu-Yeon Wei
SODA: a New Synthesis Infrastructure for Agile Hardware Design of Machine Learning Accelerators. ICCAD (2020)
Marco Minutoli, Maurizio Drocco, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman
cuRipples: influence maximization on multi-GPU systems. ICS (2020)
Maurizio Drocco, Vito Giovanni Castellana, Marco Minutoli
Practical Distributed Programming in C++. HPDC (2020)
Reet Barik, Marco Minutoli, Mahantesh Halappanavar, Nathan R. Tallent, Ananth Kalyanaraman
Vertex Reordering for Real-World Graphs and Applications: An Empirical Evaluation. IISWC (2020)
Antonino Tumeo, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, Vinay Amatya, David Brooks, Gu-Yeon Wei
Invited: Software Defined Accelerators From Learning Tools Environment. DAC (2020)
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
A Parallel Graph Environment for Real-World Data Analytics Workflows. DATE (2019)
Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman, Arun V. Sathanur, Ryan Mcclure, Jason E. McDermott
Fast and Scalable Implementations of Influence Maximization Algorithms. CLUSTER (2019)
Vito Giovanni Castellana, Marco Minutoli, Antonino Tumeo, Marco Lattuada, Pietro Fezzardi, Fabrizio Ferrandi
Software defined architectures for data analytics. ASP-DAC (2019)
Vito Giovanni Castellana, Marco Minutoli
SHAD: The Scalable High-Performance Algorithms and Data-Structures Library. CCGrid (2018)
Vito Giovanni Castellana, Marco Minutoli, Shreyansh Bhatt, Khushbu Agarwal, Arthur Bleeker, John Feo, Daniel G. Chavarría-Miranda, David J. Haglin
High-Performance Data Analytics Beyond the Relational and Graph Data Models with GEMS. IPDPS Workshops (2017)
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)
Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Marco Lattuada, Fabrizio Ferrandi
Enabling the high level synthesis of data analytics accelerators. CODES+ISSS (2016)
Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Fabrizio Ferrandi, Marco Lattuada
A Dynamically Scheduled Architecture for the Synthesis of Graph Database Queries. FCCM (2016)
Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Marco Lattuada, Fabrizio Ferrandi
Efficient synthesis of graph methods: a dynamically scheduled architecture. ICCAD (2016)
Vito Giovanni Castellana, Marco Minutoli, Alessandro Morari, Antonino Tumeo, Marco Lattuada, Fabrizio Ferrandi
High Level Synthesis of RDF Queries for Graph Analytics. ICCAD (2015)
Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Fabrizio Ferrandi
Inter-procedural resource sharing in High Level Synthesis through function proxies. FPL (2015)
Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Fabrizio Ferrandi
Function Proxies for Improved Resource Sharing in High Level Synthesis. FCCM (2015)