Abhimanyu Rajeshkumar Bambhaniya

11 papers A* 1A 1Journal 6Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Enabling Unstructured Sparse Acceleration on Structured Sparse Accelerators. MLSys Geonhwa Jeong, Po-An Tsai, Abhimanyu Rajeshkumar Bambhaniya, Stephen W. Keckler, Tushar Krishna
2025	—	`conf`	Progressive Gradient Flow for Robust N:M Sparsity Training in Transformers. CPAL Abhimanyu Rajeshkumar Bambhaniya, Amir Yazdanbakhsh, Suvinay Subramanian, Sheng-Chun Kao, Shivani Agrawal, Utku Evci, Tushar Krishna
2025	J	`jnl`	Understanding and Optimizing Multi-Stage AI Inference Pipelines. CoRR Abhimanyu Rajeshkumar Bambhaniya, Hanjiang Wu, Suvinay Subramanian, Sudarshan Srinivasan, Souvik Kundu, Amir Yazdanbakhsh, Midhilesh Elavazhagan, Madhu Kumar, Tushar Krishna
2024	J	`jnl`	Abstracting Sparse DNN Acceleration via Structured Sparse Tensor Decomposition. CoRR Geonhwa Jeong, Po-An Tsai, Abhimanyu Rajeshkumar Bambhaniya, Stephen W. Keckler, Tushar Krishna
2024	J	`jnl`	Progressive Gradient Flow for Robust N: M Sparsity Training in Transformers. CoRR Abhimanyu Rajeshkumar Bambhaniya, Amir Yazdanbakhsh, Suvinay Subramanian, Sheng-Chun Kao, Shivani Agrawal, Utku Evci, Tushar Krishna
2023	A	`conf`	Proteus : HLS-based NoC Generator and Simulator. DATE Abhimanyu Rajeshkumar Bambhaniya, Yangyu Chen, Anshuman, Rohan Banerjee, Tushar Krishna
2023	—	`conf`	Subgraph Stationary Hardware-Software Inference Co-Design. MLSys Payman Behnam, Alexey Tumanov, Tushar Krishna, Pranav Gadikar, Yangyu Chen, Jianming Tong, Yue Pan, Abhimanyu Rajeshkumar Bambhaniya, Alind Khare
2023	J	`jnl`	Subgraph Stationary Hardware-Software Inference Co-Design. CoRR Payman Behnam, Jianming Tong, Alind Khare, Yangyu Chen, Yue Pan, Pranav Gadikar, Abhimanyu Rajeshkumar Bambhaniya, Tushar Krishna, Alexey Tumanov
2023	A*	`conf`	VEGETA: Vertically-Integrated Extensions for Sparse/Dense GEMM Tile Acceleration on CPUs. HPCA Geonhwa Jeong, Sana Damani, Abhimanyu Rajeshkumar Bambhaniya, Eric Qin, Christopher J. Hughes, Sreenivas Subramoney, Hyesoon Kim, Tushar Krishna
2023	J	`jnl`	VEGETA: Vertically-Integrated Extensions for Sparse/Dense GEMM Tile Acceleration on CPUs. CoRR Geonhwa Jeong, Sana Damani, Abhimanyu Rajeshkumar Bambhaniya, Eric Qin, Christopher J. Hughes, Sreenivas Subramoney, Hyesoon Kim, Tushar Krishna
2022	J	`jnl`	COMET: A Comprehensive Cluster Design Methodology for Distributed Deep Learning Training. CoRR Divya Kiran Kadiyala, Saeed Rashidi, Taekyung Heo, Abhimanyu Rajeshkumar Bambhaniya, Tushar Krishna, Alexandros Daglis