Past Members

MTech

• Jayesh Patidar
  • 2020-2022
  • Topic: Extending GPGPU-Sim v4.0 with Unified Virtual Memory Support
  • Position (2023): Dream11
• Parth Sharma
  • 2020-2022
  • Topic: DASynC: Detecting Bugs from Advanced Synchronization Constructs in CUDA
  • Position (2023): Oracle
• Anupam Agrawal
  • 2019-2021
  • Topic: Data Race Detection of Task Parallel Programs Using Vector Clocks
  • Position (2023): Dream11
• Samvid Mistry
  • 2019-2021 (co-supervised, primary superviser was Prof. Indranil Saha)
  • Topic: On Accuracy and Robustness of Quantized Neural Networks
  • CSE nominee for Cadence Silver medal, Convocation Awards 2021
  • Position (2023): GitHub
• Sharwari Samdekar
  • 2019-2021
  • Topic: Exploration of Efficient Data Layout for CNN Inference on CPUs
  • Position (2023): SAP Labs

Dual Degree

• Alan Nair
  • 2021-2022
  • Topic: Speeding Up Inference on Convolutional Neural Networks for CPUs
  • Position (2023): PhD at University of Edinburgh

BTech

• Naiza Singla
  • UGP, 2022 Spring
  • Topic: Extending TSan for Data Race Detection of OpenMP Programs with Logical Concurrency
  • Position (2023): Final year student at IITK
• Tanmay Gupta
  • UGP, 2022 Spring
  • Topic: Enabling Recommendation System for Sparse Matrix Formats on GPU
  • Position (2023): Final year student at IITK
• Hrugved Wath
  • UGP, 2021 Autumn
  • Topic: Atomicity Checking With Intel MPKs
  • Position (2023): Amazon
• Sagnik Dey
  • UGP, 2021 Spring
  • Topic: Predictive data race detection for GPUs
  • MATHS nominee for Best Software and Shri Binay Sinha awards, Convocation Awards 2021
  • Position (2023): MS at Purdue University
• Mayant Mukul
  • UGP, 2021 Spring
  • Topic: Predictive data race detection for GPUs
  • MATHS nominee for Best Software and Shri Binay Sinha awards, Convocation Awards 2021
  • Position (2023): Dream11
• Sunidhi Dhandhania
  • UGP, 2020 Autumn
  • Topic: Using Semi-Supervised Learning for Format Selection of Sparse Matrices
  • Position (2023): Microsoft
• Shivam Kumar
  • UGP, 2019 Autumn
  • Topic: Efficient Data Race Detection for Task-Parallel Programs with Vector Clocks
  • CSE nominee for Shri Binary Kumar Sinha award, Convocation Awards 2021
  • Position (2023): Microsoft

Interns

• Akshay Deodhar

  • SURGE 2020
  • Topic: An Efficient SpMV Runtime Based on Clustering
  • Position (2023): MS student at Georgia Tech
• Meghna Hooda

  • SURGE 2019
  • Topic: Investigating the Impact of Exceptions on Python Performance for AI Algorithms
  • Position (2023): MSc student at IIT Delhi