VoxelCache: Accelerating Online Mapping in Robotics and 3D Reconstruction Tasks. - Sankeerth Durvasula; Raymond Kiguru; Samarth Mathur; Jenny Xu; Jimmy Lin; Nandita Vijaykumar (PACT, 2022)

EvConv: Fast CNN Inference on Event Camera Inputs For High-Speed Robot Perception. - Sankeerth Durvasula; Yushi Guan; Nandita Vijaykumar (CoRR, 2023)

Ev-Conv: Fast CNN Inference on Event Camera Inputs for High-Speed Robot Perception. - Sankeerth Durvasula; Yushi Guan; Nandita Vijaykumar (IEEE Robotics Autom. Lett., 2023)

ACE: Efficient GPU Kernel Concurrency for Input-Dependent Irregular Computational Graphs. - Sankeerth Durvasula; Adrian Zhao; Raymond Kiguru; Yushi Guan; Zhonghan Chen; Nandita Vijaykumar (PACT, 2024)

Distributed Training of Neural Radiance Fields: A Performance Characterization. - Adrian Zhao; Louis Zhang; Sankeerth Durvasula; Fan Chen; Nilesh Jain; Selvakumar Panneer; Nandita Vijaykumar (ISPASS, 2024)

DISTWAR: Fast Differentiable Rendering on Raster-based Rendering Pipelines. - Sankeerth Durvasula; Adrian Zhao; Fan Chen; Ruofan Liang; Pawan Kumar Sanjaya; Nandita Vijaykumar (CoRR, 2024)

ACS: Concurrent Kernel Execution on Irregular, Input-Dependent Computational Graphs. - Sankeerth Durvasula; Adrian Zhao; Raymond Kiguru; Yushi Guan; Zhonghan Chen; Nandita Vijaykumar (CoRR, 2024)

DISORF: A Distributed Online NeRF Training and Rendering Framework for Mobile Robots. - Chunlin Li 014; Ruofan Liang; Hanrui Fan; Zhengen Zhang; Sankeerth Durvasula; Nandita Vijaykumar (CoRR, 2024)

ARC: Warp-level Adaptive Atomic Reduction in GPUs to Accelerate Differentiable Rendering. - Sankeerth Durvasula; Adrian Zhao; Fan Chen; Ruofan Liang; Pawan Kumar Sanjaya; Yushi Guan; Christina Giannoula; Nandita Vijaykumar (ASPLOS (1), 2025)

PyGim: An Efficient Graph Neural Network Library for Real Processing-In-Memory Architectures. - Christina Giannoula; Peiming Yang; Ivan Fernandez; Jiacheng Yang; Sankeerth Durvasula; Yu Xin Li; Mohammad Sadrosadati; Juan Gómez-Luna; Onur Mutlu; Gennady Pekhimenko (SIGMETRICS (Abstracts), 2025)

DISORF: A Distributed Online 3D Reconstruction Framework for Mobile Robots. - Chunlin Li 014; Hanrui Fan; Xiaorui Huang; Ruofan Liang; Sankeerth Durvasula; Nandita Vijaykumar (IEEE Robotics Autom. Lett., 2025)

Squeeze3D: Your 3D Generation Model is Secretly an Extreme Neural Compressor. - Rishit Dagli; Yushi Guan; Sankeerth Durvasula; Mohammadreza Mofayezi; Nandita Vijaykumar (CoRR, 2025)

ContraGS: Codebook-Condensed and Trainable Gaussian Splatting for Fast, Memory-Efficient Reconstruction. - Sankeerth Durvasula; Sharanshangar Muhunthan; Zain Moustafa; Richard Chen; Ruofan Liang; Yushi Guan; Nilesh A. Ahuja; Nilesh Jain; Selvakumar Panneer; Nandita Vijaykumar (CoRR, 2025)

FG-Attn: Leveraging Fine-Grained Sparsity In Diffusion Transformers. - Sankeerth Durvasula; Kavya Sreedhar; Zain Moustafa; Suraj Kothawade; Ashish Gondimalla; Suvinay Subramanian; Narges Shahidi; Nandita Vijaykumar (CoRR, 2025)