Vinod Ganesan

Joined

October 2020

Names

Vinod Ganesan (Preferred)

Emails

****@cse.iitm.ac.in (Confirmed)

Personal Links

Career & Education History

PhD student

Indian Institute of Technology Madras, Dhirubhai Ambani Institute Of Information and Communication Technology (iitm.ac.in)

2018 – 2022

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

SuperShaper: A Pre-Training Approach for Discovering Efficient Transformer Shapes
Vinod Ganesan, Gowtham Ramesh, Pratyush Kumar, Raj Dabre
- ES-FoMO 2023 Poster
- Readers: Everyone
Generalized Weight Agnostic Neural Networks for Configurable and Continual Autonomous Systems
Pranav U. Gadikar, Vinod Ganesan, Pratyush Kumar Panda
- 2021 (modified: 17 Nov 2021)
- AIMLSystems 2021
- Readers: Everyone
Seclusive Cache Hierarchy for Mitigating Cross-Core Cache and Coherence Directory Attacks
Vishal Gupta, Vinod Ganesan, Biswabandan Panda
- 2021 (modified: 17 Nov 2021)
- DATE 2021
- Readers: Everyone
FuSeConv: Fully Separable Convolutions for Fast Inference on Systolic Arrays
Surya Selvam, Vinod Ganesan, Pratyush Kumar
- 2021 (modified: 17 Nov 2021)
- DATE 2021
- Readers: Everyone
Design and Scaffolded Training of an Efficient DNN Operator for Computer Vision on the Edge
Vinod Ganesan, Pratyush Kumar
- 2021 (modified: 17 Nov 2021)
- CoRR 2021
- Readers: Everyone
SuperShaper: Task-Agnostic Super Pre-training of BERT Models with Variable Hidden Dimensions
Vinod Ganesan, Gowtham Ramesh, Pratyush Kumar
- 2021 (modified: 17 Nov 2021)
- CoRR 2021
- Readers: Everyone
FuSeConv: Fully Separable Convolutions for Fast Inference on Systolic Arrays
Surya Selvam, Vinod Ganesan, Pratyush Kumar
- 2021 (modified: 17 Nov 2021)
- CoRR 2021
- Readers: Everyone
A Case for Generalizable DNN Cost Models for Mobile Devices
Vinod Ganesan, Surya Selvam, Sanchari Sen, Pratyush Kumar, Anand Raghunathan
- 2020 (modified: 17 Nov 2021)
- IISWC 2020
- Readers: Everyone
Brutus: Refuting the Security Claims of the Cache Timing Randomization Countermeasure Proposed in CEASER
Rahul Bodduna, Vinod Ganesan, Patanjali SLPSK, Kamakoti Veezhinathan, Chester Rebeiro
- 2020 (modified: 17 Nov 2021)
- IEEE Comput. Archit. Lett. 2020
- Readers: Everyone
Sparsity-Aware Caches to Accelerate Deep Neural Networks
Vinod Ganesan, Sanchari Sen, Pratyush Kumar, Neel Gala, Kamakoti Veezhinathan, Anand Raghunathan
- 2020 (modified: 17 Nov 2021)
- DATE 2020
- Readers: Everyone

View all 12 publications