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2020 – today
- 2024
[i1]Bhuvnesh Kumar, Saurav Nanda, Ganapathy Parthasarathy, Pawan Patil, Austin Tsai, Parivesh Choudhary:
HDL-GPT: High-Quality HDL is All You Need. CoRR abs/2407.18423 (2024)- 2023
- [c9]Bhuvnesh Kumar, Ganapathy Parthasarathy
, Saurav Nanda, Sridhar Rajakumar:
Optimizing Constrained Random Verification with ML and Bayesian Estimation. MLCAD 2023: 1-6 - 2022
- [c8]Ganapathy Parthasarathy, Aabid Rushdi, Parivesh Choudhary, Saurav Nanda, Malan Evans, Hansika Gunasekara, Sridhar Rajakumar:
RTL Regression Test Selection using Machine Learning. ASP-DAC 2022: 281-287 - [c7]Ganapathy Parthasarathy, Bhuvnesh Kumar, Saurav Nanda, Parivesh Choudhary, Sridhar Rajakumar:
Optimizing ML Classification Models for Constrained EDA Resource Budgets. ICCD 2022: 223-230
2010 – 2019
- 2019
- [c6]Saurav Nanda, Ganapathy Parthasarathy, Parivesh Choudhary, Arun Venkatachar:
Resource Aware Scheduling for EDA Regression Jobs. Euro-Par Workshops 2019: 639-651 - 2018
- [b1]Saurav Nanda:
Intelligent System Towards Maintaining Service Level Agreements Related to Application Performance in Cloud Infrastructure. Purdue University, USA, 2018 - 2017
- [c5]Saurav Nanda, Thomas J. Hacker:
TAG: Traffic-Aware Global Live Migration to Enhance User Experience of Cloud Applications. CloudCom 2017: 202-209 - 2016
- [c4]Saurav Nanda, Thomas J. Hacker, Yung-Hsiang Lu:
Predictive Model for Dynamically Provisioning Resources in Multi-Tier Web Applications. CloudCom 2016: 326-335 - [c3]Saurav Nanda, Raymond A. Hansen:
Forensics as a Service: Three-Tier Architecture for Cloud Based Forensic Analysis. ISPDC 2016: 178-183 - [c2]Saurav Nanda, Faheem Zafari, Casimer M. DeCusatis, Eric Wedaa, Baijian Yang:
Predicting network attack patterns in SDN using machine learning approach. NFV-SDN 2016: 167-172 - 2010
- [c1]Nirnay Ghosh, Saurav Nanda, Soumya K. Ghosh:
An ACO Based Approach for Detection of an Optimal Attack Path in a Dynamic Environment. ICDCN 2010: 509-520
Coauthor Index
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