Sankeerth Durvasula

17 papers B 3Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Tensor Compiler for Processing-In-Memory Architectures.
CoRR
Peiming Yang, Sankeerth Durvasula, Ivan Fernandez, Mohammad Sadrosadati, Onur Mutlu, Gennady Pekhimenko, Christina Giannoula
2025 — conf
ARC: Warp-level Adaptive Atomic Reduction in GPUs to Accelerate Differentiable Rendering.
ASPLOS (1)
Sankeerth Durvasula, Adrian Zhao, Fan Chen, Ruofan Liang, Pawan Kumar Sanjaya, Yushi Guan, Christina Giannoula, Nandita Vijaykumar
2025 J jnl
ContraGS: Codebook-Condensed and Trainable Gaussian Splatting for Fast, Memory-Efficient Reconstruction.
CoRR
Sankeerth Durvasula, Sharanshangar Muhunthan, Zain Moustafa, Richard Chen, Ruofan Liang, Yushi Guan, Nilesh A. Ahuja, Nilesh Jain, Selvakumar Panneer, Nandita Vijaykumar
2025 J jnl
DISORF: A Distributed Online 3D Reconstruction Framework for Mobile Robots.
IEEE Robotics Autom. Lett.
Chunlin Li, Hanrui Fan, Xiaorui Huang, Ruofan Liang, Sankeerth Durvasula, Nandita Vijaykumar
2025 J jnl
FG-Attn: Leveraging Fine-Grained Sparsity In Diffusion Transformers.
CoRR
Sankeerth Durvasula, Kavya Sreedhar, Zain Moustafa, Suraj Kothawade, Ashish Gondimalla, Suvinay Subramanian, Narges Shahidi, Nandita Vijaykumar
2025 — conf
PyGim: An Efficient Graph Neural Network Library for Real Processing-In-Memory Architectures.
SIGMETRICS (Abstracts)
Christina Giannoula, Peiming Yang, Ivan Fernandez, Jiacheng Yang, Sankeerth Durvasula, Yu Xin Li, Mohammad Sadrosadati, Juan Gómez-Luna, Onur Mutlu, Gennady Pekhimenko
2025 J jnl
Squeeze3D: Your 3D Generation Model is Secretly an Extreme Neural Compressor.
CoRR
Rishit Dagli, Yushi Guan, Sankeerth Durvasula, Mohammadreza Mofayezi, Nandita Vijaykumar
2024 B conf
ACE: Efficient GPU Kernel Concurrency for Input-Dependent Irregular Computational Graphs.
PACT
Sankeerth Durvasula, Adrian Zhao, Raymond Kiguru, Yushi Guan, Zhonghan Chen, Nandita Vijaykumar
2024 J jnl
ACS: Concurrent Kernel Execution on Irregular, Input-Dependent Computational Graphs.
CoRR
Sankeerth Durvasula, Adrian Zhao, Raymond Kiguru, Yushi Guan, Zhonghan Chen, Nandita Vijaykumar
2024 J jnl
DISORF: A Distributed Online NeRF Training and Rendering Framework for Mobile Robots.
CoRR
Chunlin Li, Ruofan Liang, Hanrui Fan, Zhengen Zhang, Sankeerth Durvasula, Nandita Vijaykumar
2024 J jnl
DISTWAR: Fast Differentiable Rendering on Raster-based Rendering Pipelines.
CoRR
Sankeerth Durvasula, Adrian Zhao, Fan Chen, Ruofan Liang, Pawan Kumar Sanjaya, Nandita Vijaykumar
2024 B conf
Distributed Training of Neural Radiance Fields: A Performance Characterization.
ISPASS
Adrian Zhao, Louis Zhang, Sankeerth Durvasula, Fan Chen, Nilesh Jain, Selvakumar Panneer, Nandita Vijaykumar
2024 J jnl
PyGim : An Efficient Graph Neural Network Library for Real Processing-In-Memory Architectures.
Proc. ACM Meas. Anal. Comput. Syst.
Christina Giannoula, Peiming Yang, Ivan Fernandez, Jiacheng Yang, Sankeerth Durvasula, Yu Xin Li, Mohammad Sadrosadati, Juan Gómez-Luna, Onur Mutlu, Gennady Pekhimenko
2023 J jnl
Ev-Conv: Fast CNN Inference on Event Camera Inputs for High-Speed Robot Perception.
IEEE Robotics Autom. Lett.
Sankeerth Durvasula, Yushi Guan, Nandita Vijaykumar
2023 J jnl
EvConv: Fast CNN Inference on Event Camera Inputs For High-Speed Robot Perception.
CoRR
Sankeerth Durvasula, Yushi Guan, Nandita Vijaykumar
2022 B conf
VoxelCache: Accelerating Online Mapping in Robotics and 3D Reconstruction Tasks.
PACT
Sankeerth Durvasula, Raymond Kiguru, Samarth Mathur, Jenny Xu, Jimmy Lin, Nandita Vijaykumar
2022 J jnl
VoxelCache: Accelerating Online Mapping in Robotics and 3D Reconstruction Tasks.
CoRR
Sankeerth Durvasula, Raymond Kiguru, Samarth Mathur, Jenny Xu, Jimmy Lin, Nandita Vijaykumar