Vinod Ganesan

According to our database, Vinod Ganesan authored at least 12 papers between 2020 and 2023.

Collaborative distances:

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

2023

PwR: Exploring the Role of Representations in Conversational Programming.

Pradyumna YM, Vinod Ganesan, Dinesh Kumar Arumugam, Meghna Gupta, Nischith Shadagopan, Tanay Dixit, Sameer Segal, Pratyush Kumar, Mohit Jain, Sriram Rajamani

CoRR, 2023

A Survey of Security Concerns and Countermeasures in Modern Micro-architectures with Transient Execution.

Nikhilesh Singh, Vinod Ganesan, Chester Rebeiro

CoRR, 2023

2022

Design and Scaffolded Training of an Efficient DNN Operator for Computer Vision on the Edge.

Vinod Ganesan, Pratyush Kumar

ACM Trans. Embed. Comput. Syst., November, 2022

Efficient ML Models for Practical Secure Inference.

Vinod Ganesan, Anwesh Bhattacharya, Pratyush Kumar, Divya Gupta, Rahul Sharma, Nishanth Chandran

CoRR, 2022

2021

SuperShaper: Task-Agnostic Super Pre-training of BERT Models with Variable Hidden Dimensions.

Vinod Ganesan, Gowtham Ramesh, Pratyush Kumar

CoRR, 2021

FuSeConv: Fully Separable Convolutions for Fast Inference on Systolic Arrays.

Surya Selvam, Vinod Ganesan, Pratyush Kumar

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

Seclusive Cache Hierarchy for Mitigating Cross-Core Cache and Coherence Directory Attacks.

Vishal Gupta, Vinod Ganesan, Biswabandan Panda

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

Generalized Weight Agnostic Neural Networks for Configurable and Continual Autonomous Systems.

Pranav U. Gadikar, Vinod Ganesan, Pratyush Kumar Panda

Proceedings of the AIMLSystems 2021: The First International Conference on AI-ML-Systems, Bangalore India, October 21, 2021

2020

Brutus: Refuting the Security Claims of the Cache Timing Randomization Countermeasure Proposed in CEASER.

Rahul Bodduna, Vinod Ganesan, Patanjali SLPSK, Kamakoti Veezhinathan, Chester Rebeiro

IEEE Comput. Archit. Lett., 2020

A Case for Generalizable DNN Cost Models for Mobile Devices.

Vinod Ganesan, Surya Selvam, Sanchari Sen, Pratyush Kumar, Anand Raghunathan

Proceedings of the IEEE International Symposium on Workload Characterization, 2020

PARAM: A Microprocessor Hardened for Power Side-Channel Attack Resistance.

Muhammad Arsath K. F, Vinod Ganesan, Rahul Bodduna, Chester Rebeiro

Proceedings of the 2020 IEEE International Symposium on Hardware Oriented Security and Trust, 2020

Sparsity-Aware Caches to Accelerate Deep Neural Networks.

Vinod Ganesan, Sanchari Sen, Pratyush Kumar, Neel Gala, Kamakoti Veezhinathan, Anand Raghunathan

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020