PhD

• Topic: GPU Data Structures
• Artifact Evaluation Committee member for MICRO'24

• Topic: Improving Virtual Memory Support in UVM-enabled GPUs
• Co-supervised with Prof. Debadatta Mishra
• Received Qualcomm Innovation Fellowship India 2024
• Artifact Evaluation Committee member for MICRO'24

• Topic: Hardware-Aware Performance Analysis
• TCS Research Scholar for the duration of 2020-2024
• Selected for Work-in-Progress presentation at YArch'21 (Talk)
• Artifact Evaluation Committee member for PPoPP'23

MS(R)

• Topic: Efficient Address Translation in GPUs using Anticipatory Huge TLB Entries
• Co-supervised, Prof. Debadatta Mishra was the primary advisor
• Qualcomm Innovation Fellowship 2022 Finalist

MTech/MTI

• Topic: Extreme Weather Event Prediction and In Situ Visualization
• Co-supervised, Prof. Preeti Malakar is the primary supervisor

• Topic: Exploring Warp Scheduling in GPUs

• Topic: Evaluating Page Fault Servicing in UVM

• Topic: A Novel Algorithm to Efficiently Compute Ewald Summation for Ionic Slab Geometries
• Co-supervised, Prof. Vishal Agarwal was the primary supervisor

• Topic: Fuzzing GPU Kernels

• Topic: Speeding Up Inference on Convolutional Neural Networks for CPUs

• Topic: Extending GPGPU-Sim v4.0 with Unified Virtual Memory Support
• Co-supervised with Prof. Debadatta Mishra

• Topic: DASynC: Detecting Bugs from Advanced Synchronization Constructs in CUDA

• Topic: Data Race Detection of Task Parallel Programs Using Vector Clocks

• Topic: On Accuracy and Robustness of Quantized Neural Networks
• Co-supervised, Prof. Indranil Saha was the primary supervisor
• CSE nominee for Cadence Silver medal, Convocation Awards 2021

• Topic: Exploration of Efficient Data Layout for CNN Inference on CPUs

BTech UGPs

Interns