Vinay Amatya

According to our database, Vinay Amatya authored at least 14 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Towards On-Chip Learning for Low Latency Reasoning with End-to-End Synthesis.

Vito Giovanni Castellana, Nicolas Bohm Agostini, Ankur Limaye, Vinay Amatya, Marco Minutoli, Joseph B. Manzano, Antonino Tumeo, Serena Curzel, Michele Fiorito, Fabrizio Ferrandi

Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

2022

Bridging Python to Silicon: The SODA Toolchain.

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

IEEE Micro, 2022

Physics-informed Machine Learning of Parameterized Fundamental Diagrams.

James Koch, Thomas Maxner, Vinay Amatya, Andisheh Ranjbari, Chase Dowling

CoRR, 2022

An MLIR-based Compiler Flow for System-Level Design and Hardware Acceleration.

Nicolas Bohm Agostini, Serena Curzel, Vinay Amatya, Cheng Tan, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, David R. Kaeli, Antonino Tumeo

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

From High-Level Frameworks to custom Silicon with SODA.

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

Proceedings of the 2022 IEEE Hot Chips 34 Symposium, 2022

SO(DA)²: End-to-end Generation of Specialized Reconfigurable Architectures (Invited Talk).

Antonino Tumeo, Nicolas Bohm Agostini, Serena Curzel, Ankur Limaye, Cheng Tan, Vinay Amatya, Marco Minutoli, Vito Giovanni Castellana, Ang Li, Joseph B. Manzano

Proceedings of the 13th Workshop on Parallel Programming and Run-Time Management Techniques for Many-Core Architectures and 11th Workshop on Design Tools and Architectures for Multicore Embedded Computing Platforms, 2022

The SODA approach: leveraging high-level synthesis for hardware/software co-design and hardware specialization: invited.

Nicolas Bohm Agostini, Serena Curzel, Ankur Limaye, Vinay Amatya, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, Antonino Tumeo, Fabrizio Ferrandi

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

Automated Generation of Integrated Digital and Spiking Neuromorphic Machine Learning Accelerators.

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

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

Towards Automatic and Agile AI/ML Accelerator Design with End-to-End Synthesis.

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

Proceedings of the 32nd IEEE International Conference on Application-specific Systems, 2021

2020

Scaling the training of particle classification on simulated MicroBooNE events to multiple GPUs.

Alex Hagen, Eric Church, Jan Strube, Kolahal Bhattacharya, Vinay Amatya

CoRR, 2020

SODA: a New Synthesis Infrastructure for Agile Hardware Design of Machine Learning Accelerators.

Marco Minutoli, Vito Giovanni Castellana, Cheng Tan, Joseph B. Manzano, Vinay Amatya, Antonino Tumeo, David Brooks, Gu-Yeon Wei

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

Invited: Software Defined Accelerators From Learning Tools Environment.

Antonino Tumeo, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, Vinay Amatya, David Brooks, Gu-Yeon Wei

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

2018

GossipGraD: Scalable Deep Learning using Gossip Communication based Asynchronous Gradient Descent.

Jeff Daily, Abhinav Vishnu, Charles Siegel, Thomas Warfel, Vinay Amatya

CoRR, 2018

2017

What does fault tolerant deep learning need from MPI?

Vinay Amatya, Abhinav Vishnu, Charles Siegel, Jeff Daily

Proceedings of the 24th European MPI Users' Group Meeting, 2017