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Sankeerth Durvasula

Observed name: Durvasula, Sankeerth
ORCID: 0000-0002-4899-4994
Observed ORCID: 0000-0002-4899-4994
OpenAlex ID: A5022820580
PyGim : An Efficient Graph Neural Network Library for Real Processing-In-Memory Architectures
2024 · Christina Giannoula, Peiming Yang, et al. · Proceedings of the ACM on Measurement and Analysis of Computing Systems · 15
ARC: Warp-level Adaptive Atomic Reduction in GPUs to Accelerate Differentiable Rendering
2025 · Sankeerth Durvasula, Adrian Zhao, et al. · ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) · 8
DISTWAR: Fast Differentiable Rendering on Raster-based Rendering Pipelines
2023 · Durvasula, Sankeerth, Zhao, Adrian, et al. · arXiv (Cornell University) · 5
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Ev-Conv: Fast CNN Inference on Event Camera Inputs for High-Speed Robot Perception
2023 · Sankeerth Durvasula, Yushi Guan, et al. · IEEE Robotics and Automation Letters · 5
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VoxelCache
2022 · Sankeerth Durvasula, Raymond Kiguru, et al. · International Conference on Parallel Architectures and Compilation Techniques · 4
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PyGim: An Efficient Graph Neural Network Library for Real Processing-In-Memory Architectures
2025 · Christina Giannoula, Peiming Yang, et al. · ACM SIGMETRICS Performance Evaluation Review · 3
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DISORF: A Distributed Online 3D Reconstruction Framework for Mobile Robots
2024 · Chunlin Li, Hanrui Fan, et al. · IEEE Robotics and Automation Letters · 1
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ACE: Efficient GPU Kernel Concurrency for Input-Dependent Irregular Computational Graphs
2024 · Sankeerth Durvasula, Adrian Zhao, et al. · International Conference on Parallel Architectures and Compilation Techniques · 1
Distributed Training of Neural Radiance Fields: A Performance Characterization
2024 · Adrian Zhao, Louis Zhang, et al. · IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS) · 1
Activation Sparsity with Weight Approximation for Faster LLM Decoding on Offloaded Weights
2026 · Kim, JuneHyung, Durvasula, Sankeerth, et al. · arXiv (Cornell University)
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XPR: An Extensible Cross-Platform Point-Based Differentiable Renderer
2026 · Rhyner, Steve, Durvasula, Sankeerth, et al. · arXiv (Cornell University)
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DCC: Data-Centric Compilation of Machine Learning Kernels for Processing-In-Memory Architectures
2026 · Peiming Yang, Sankeerth Durvasula, et al. · ACM/IEEE International Symposium on Computer Architecture (ISCA)
DCC: Data-Centric Compilation of Machine Learning Kernels for Processing-In-Memory
2026 · Yang, Peiming, Durvasula, Sankeerth, et al. · Zenodo (CERN European Organization for Nuclear Research)
ContraGS: Codebook-Condensed and Trainable Gaussian Splatting for Fast, Memory-Efficient Reconstruction
2025 · Sankeerth Durvasula, Sharanshangar Muhunthan, et al. · IEEE/CVF International Conference on Computer Vision (ICCV)
FG-Attn: Leveraging Fine-Grained Sparse Attention in Video Diffusion Models
2025 · Durvasula, Sankeerth, Sreedhar, Kavya, et al. · arXiv (Cornell University)
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Squeeze3D: Extreme Neural Compression with Latent Space Bridging
2025 · Dagli, Rishit, Guan, Yushi, et al. · arXiv (Cornell University)
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PyGim: An Efficient Graph Neural Network Library for Real Processing-In-Memory Architectures
2025 · Christina Giannoula, Peiming Yang, et al.
ACS: Concurrent Kernel Execution on Irregular, Input-Dependent Computational Graphs
2024 · Durvasula, Sankeerth, Zhao, Adrian, et al. · arXiv (Cornell University)
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VoxelCache: Accelerating Online Mapping in Robotics and 3D Reconstruction Tasks
2022 · Durvasula, Sankeerth, Kiguru, Raymond, et al. · arXiv (Cornell University)
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Works count: 22
Citation count: 43
H-index: 4
I10-index: 1
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