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2020 – today
- 2024
[c40]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:
Towards Automated Generation of Chiplet-Based Systems Invited Paper. ASPDAC 2024: 771-776- [c39]Reece Neff, Mostafa Eghbali Zarch, Marco Minutoli, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Michela Becchi:
FuseIM: Fusing Probabilistic Traversals for Influence Maximization on Exascale Systems. ICS 2024: 38-49 - [c38]S. M. Ferdous, Reece Neff, Bo Peng, Salman Shuvo, Marco Minutoli, Sayak Mukherjee, Karol Kowalski, Michela Becchi, Mahantesh Halappanavar:
Picasso: Memory-Efficient Graph Coloring Using Palettes With Applications in Quantum Computing. IPDPS 2024: 241-252 - [i5]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 abs/2401.06713 (2024) - [i4]Reet Barik, Wade Cappa, S. M. Ferdous, Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman:
GreediRIS: Scalable Influence Maximization using Distributed Streaming Maximum Cover. CoRR abs/2408.10982 (2024) - [i3]Fabiana Ferracina, Payton Beeler, Mahantesh Halappanavar, Bala Krishnamoorthy, Marco Minutoli, Laura Fierce:
Learning to Simulate Aerosol Dynamics with Graph Neural Networks. CoRR abs/2409.13861 (2024) - 2023
- [c37]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: 632-638 - [c36]Reece Neff, Marco Minutoli, Antonino Tumeo, Michela Becchi:
High-Level Synthesis of Irregular Applications: A Case Study on Influence Maximization. CF 2023: 12-22 - [c35]Marco Minutoli, John Feo:
AGILE Workflows and Graphs. CF 2023: 265 - [i2]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 abs/2311.10201 (2023) - 2022
- [j4]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): 78-88 (2022) - [j3]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) - [j2]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): 3074-3087 (2022) - [c34]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: 412-425 - [c33]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: 1359-1362 - [c32]Reet Barik, Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman:
IMpart: A Partitioning-based Parallel Approach to Accelerate Influence Maximization. HIPC 2022: 125-134 - [c31]Antonino Tumeo, Nicolas Bohm Agostini, Serena Curzel, Ankur Limaye, Cheng Tan, Vinay Amatya, Marco Minutoli, Vito Giovanni Castellana, Ang Li, Joseph B. Manzano:
SO(DA)2: End-to-end Generation of Specialized Reconfigurable Architectures (Invited Talk). PARMA-DITAM@HiPEAC 2022: 1:1-1:15 - [c30]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: 1-13 - [c29]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: 6:1-6:9 - [c28]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: 18:1-18:7 - [c27]Milan Shah, Reece Neff, Hancheng Wu, Marco Minutoli, Antonino Tumeo, Michela Becchi:
Accelerating Random Forest Classification on GPU and FPGA. ICPP 2022: 4:1-4:11 - [c26]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: 5164-5170 - [i1]Xinyu Chen, Marco Minutoli, Jiannan Tian, Mahantesh Halappanavar, Ananth Kalyanaraman, Dingwen Tao:
HBMax: Optimizing Memory Efficiency for Parallel Influence Maximization on Multicore Architectures. CoRR abs/2208.00613 (2022) - 2021
- [j1]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): 553-571 (2021) - [c25]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: 149-155 - [c24]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: 218-225 - [c23]Mahantesh Halappanavar, Marco Minutoli, Sayan Ghosh:
Graph analytics in the exascale era. CF 2021: 209 - [c22]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 - [c21]Vito Giovanni Castellana, Marco Minutoli:
Productive Programming of Distributed Systems with the SHAD C++ Library. HPDC 2021: 263-264 - [c20]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: 1-7 - [c19]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: 55 - 2020
- [c18]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: 1-6 - [c17]Maurizio Drocco, Vito Giovanni Castellana, Marco Minutoli:
Practical Distributed Programming in C++. HPDC 2020: 35-39 - [c16]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: 98:1-98:7 - [c15]Marco Minutoli, Maurizio Drocco, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman:
cuRipples: influence maximization on multi-GPU systems. ICS 2020: 12:1-12:11 - [c14]Reet Barik, Marco Minutoli, Mahantesh Halappanavar, Nathan R. Tallent, Ananth Kalyanaraman:
Vertex Reordering for Real-World Graphs and Applications: An Empirical Evaluation. IISWC 2020: 240-251 - [c13]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: 55
2010 – 2019
- 2019
- [c12]Vito Giovanni Castellana, Marco Minutoli, Antonino Tumeo, Marco Lattuada, Pietro Fezzardi, Fabrizio Ferrandi:
Software defined architectures for data analytics. ASP-DAC 2019: 711-718 - [c11]Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman, Arun V. Sathanur, Ryan S. McClure, Jason E. McDermott:
Fast and Scalable Implementations of Influence Maximization Algorithms. CLUSTER 2019: 1-12 - [c10]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: 1313-1318 - 2018
- [c9]Vito Giovanni Castellana, Marco Minutoli:
SHAD: The Scalable High-Performance Algorithms and Data-Structures Library. CCGrid 2018: 442-451 - 2017
- [c8]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: 1029-1038 - 2016
- [c7]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 - [c6]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 - [c5]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 - [c4]Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Marco Lattuada, Fabrizio Ferrandi:
Efficient synthesis of graph methods: a dynamically scheduled architecture. ICCAD 2016: 128 - 2015
- [c3]Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Fabrizio Ferrandi:
Function Proxies for Improved Resource Sharing in High Level Synthesis. FCCM 2015: 100 - [c2]Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Fabrizio Ferrandi:
Inter-procedural resource sharing in High Level Synthesis through function proxies. FPL 2015: 1-8 - [c1]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
Coauthor Index
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last updated on 2024-10-22 21:17 CEST by the dblp team
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