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ORCIDVinay Amatya
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2020 – today
- 2023
[c10]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- 2022
- [j1]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) - [c9]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 - [c8]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 - [c7]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 - [c6]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 - [i4]James Koch, Thomas Maxner, Vinay Amatya, Andisheh Ranjbari, Chase Dowling:
Physics-informed Machine Learning of Parameterized Fundamental Diagrams. CoRR abs/2208.00880 (2022) - 2021
- [c5]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 - [c4]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 - 2020
- [c3]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 - [c2]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 - [i3]Alex Hagen, Eric Church, Jan Strube, Kolahal Bhattacharya, Vinay Amatya:
Scaling the training of particle classification on simulated MicroBooNE events to multiple GPUs. CoRR abs/2004.08439 (2020)
2010 – 2019
- 2018
- [i2]Jeff Daily, Abhinav Vishnu, Charles Siegel, Thomas Warfel, Vinay Amatya:
GossipGraD: Scalable Deep Learning using Gossip Communication based Asynchronous Gradient Descent. CoRR abs/1803.05880 (2018) - 2017
- [c1]Vinay Amatya, Abhinav Vishnu, Charles Siegel, Jeff Daily:
What does fault tolerant deep learning need from MPI? EuroMPI/USA 2017: 13:1-13:11 - [i1]Vinay Amatya, Abhinav Vishnu, Charles Siegel, Jeff Daily:
What does fault tolerant Deep Learning need from MPI? CoRR abs/1709.03316 (2017)
Coauthor Index
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