Vinay Joshi

According to our database, Vinay Joshi authored at least 11 papers between 2016 and 2024.

Collaborative distances:

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

2024

QCQA: Quality and Capacity-aware grouped Query Attention.

Vinay Joshi, Prashant Laddha, Shambhavi Sinha, Om Ji Omer, Sreenivas Subramoney

CoRR, 2024

CiMNet: Towards Joint Optimization for DNN Architecture and Configuration for Compute-In-Memory Hardware.

Souvik Kundu, Anthony Sarah, Vinay Joshi, Om Ji Omer, Sreenivas Subramoney

CoRR, 2024

2022

A 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inference.

Manuel Le Gallo, Riduan Khaddam-Aljameh, Milos Stanisavljevic, Athanasios Vasilopoulos, Benedikt Kersting, Martino Dazzi, Geethan Karunaratne, Matthias Braendli, Abhairaj Singh, Silvia M. Mueller, Julian Büchel, Xavier Timoneda Comas, Vinay Joshi, Urs Egger, Angelo Garofalo, Anastasios Petropoulos, Theodore Antonakopoulos, Kevin Brew, Samuel Choi, Injo Ok, Timothy Philip, Victor Chan, Mary Claire Silvestre, Ishtiaq Ahsan, Nicole Saulnier, Vijay Narayanan, Pier Andrea Francese, Evangelos Eleftheriou, Abu Sebastian

CoRR, 2022

2021

Hybrid In-Memory Computing Architecture for the Training of Deep Neural Networks.

Vinay Joshi, Wangxin He, Jae-sun Seo, Bipin Rajendran

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

2020

Mixed-precision deep learning based on computational memory.

S. R. Nandakumar, Manuel Le Gallo, Christophe Piveteau, Vinay Joshi, Giovanni Mariani, Irem Boybat, Geethan Karunaratne, Riduan Khaddam-Aljameh, Urs Egger, Anastasios Petropoulos, Theodore Antonakopoulos, Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou

CoRR, 2020

ESSOP: Efficient and Scalable Stochastic Outer Product Architecture for Deep Learning.

Vinay Joshi, Geethan Karunaratne, Manuel Le Gallo, Irem Boybat, Christophe Piveteau, Abu Sebastian, Bipin Rajendran, Evangelos Eleftheriou

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

2019

Deep learning acceleration based on in-memory computing.

Evangelos Eleftheriou, Manuel Le Gallo, S. R. Nandakumar, Christophe Piveteau, Irem Boybat, Vinay Joshi, Riduan Khaddam-Aljameh, Martino Dazzi, Iason Giannopoulos, Geethan Karunaratne, Benedikt Kersting, Milos Stanisavljevic, Vara Prasad Jonnalagadda, Nikolas Ioannou, Kornilios Kourtis, Pier Andrea Francese, Abu Sebastian

IBM J. Res. Dev., 2019

Accurate deep neural network inference using computational phase-change memory.

Vinay Joshi, Manuel Le Gallo, Irem Boybat, Simon Haefeli, Christophe Piveteau, Martino Dazzi, Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou

CoRR, 2019

Computational memory-based inference and training of deep neural networks.

Abu Sebastian, Irem Boybat, Martino Dazzi, Iason Giannopoulos, Vara Prasad Jonnalagadda, Vinay Joshi, Geethan Karunaratne, Benedikt Kersting, Riduan Khaddam-Aljameh, S. R. Nandakumar, Anastasios Petropoulos, Christophe Piveteau, Theodore Antonakopoulos, Bipin Rajendran, Manuel Le Gallo, Evangelos Eleftheriou

Proceedings of the 2019 Symposium on VLSI Circuits, Kyoto, Japan, June 9-14, 2019, 2019

Phase-Change Memory Models for Deep Learning Training and Inference.

S. R. Nandakumar, Irem Boybat, Vinay Joshi, Christophe Piveteau, Manuel Le Gallo, Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou

Proceedings of the 26th IEEE International Conference on Electronics, Circuits and Systems, 2019

2016

CRYPTANITE: A New Look to the World of Social Networks Using Deep Learning.

Vinayshekhar Bannihatti Kumar, Tanisha Rajesh Baadkar, Vinay Joshi

Proceedings of the 12th International Conference on Signal-Image Technology & Internet-Based Systems, 2016