Vinay Amatya

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 15

Top Topics

Organic Chemistry

Avoid Overfitting

Machine Learning

Hardware Design

Top Venues

Publications

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)
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)
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)
James Koch, Thomas Maxner, Vinay Amatya, Andisheh Ranjbari, Chase Dowling
Physics-informed Machine Learning of Parameterized Fundamental Diagrams. CoRR (2022)
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)
Alex Hagen, Eric Church, Jan Strube, Kolahal Bhattacharya, Vinay Amatya
Scaling the training of particle classification on simulated MicroBooNE events to multiple GPUs. CoRR (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)
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)
Jeff Daily, Abhinav Vishnu, Charles Siegel, Thomas Warfel, Vinay Amatya
GossipGraD: Scalable Deep Learning using Gossip Communication based Asynchronous Gradient Descent. CoRR (2018)
Vinay Amatya, Abhinav Vishnu, Charles Siegel, Jeff Daily
What does fault tolerant Deep Learning need from MPI? CoRR (2017)
Vinay Amatya, Abhinav Vishnu, Charles Siegel, Jeff Daily
What does fault tolerant deep learning need from MPI? EuroMPI/USA (2017)