| Vegeta: Vertically-integrated extensions for sparse/dense gemm tile acceleration on cpus G Jeong, S Damani, AR Bambhaniya, E Qin, CJ Hughes, S Subramoney, ... 2023 IEEE International Symposium on High-Performance Computer Architecture …, 2023 | 10 | 2023 |
| Enabling flexibility for sparse tensor acceleration via heterogeneity E Qin, R Garg, A Bambhaniya, M Pellauer, A Parashar, S Rajamanickam, ... arXiv preprint arXiv:2201.08916, 2022 | 8 | 2022 |
| Hardware-Software co-design for real-time latency-accuracy navigation in tinyML applications P Behnam, J Tong, A Khare, Y Chen, Y Pan, P Gadikar, A Bambhaniya, ... IEEE Micro, 2023 | 2 | 2023 |
| Subgraph stationary hardware-software inference co-design P Behnam, A Tumanov, T Krishna, P Gadikar, Y Chen, J Tong, Y Pan, ... Proceedings of Machine Learning and Systems 5, 2023 | 2 | 2023 |
| COMET: A comprehensive cluster design methodology for distributed deep learning training DK Kadiyala, S Rashidi, T Heo, AR Bambhaniya, T Krishna, A Daglis arXiv preprint arXiv:2211.16648, 2022 | 2 | 2022 |
| Accelerating Attention Based Models via HW-SW Co-Design using Fine-Grained Sparsification AR Bambhaniya, A Yazdanbakhsh, S Subramanian, T Krishna Architecture and System Support for Transformer Models (ASSYST@ ISCA 2023), 2023 | 1 | 2023 |
| Enabling Real-time DNN Switching via Weight-Sharing J Tong, Y Chen, Y Pan, A Bambhaniya, A Khare, T Heo, A Tumanov, ... The 2nd Architecture, Compiler, and System Support for Multi-model DNN …, 2022 | 1 | 2022 |
| Abstracting Sparse DNN Acceleration via Structured Sparse Tensor Decomposition G Jeong, PA Tsai, AR Bambhaniya, SW Keckler, T Krishna arXiv preprint arXiv:2403.07953, 2024 | | 2024 |
| Progressive Gradient Flow for Robust N: M Sparsity Training in Transformers AR Bambhaniya, A Yazdanbakhsh, S Subramanian, SC Kao, S Agrawal, ... arXiv preprint arXiv:2402.04744, 2024 | | 2024 |
| Progressive Gradient Flow for Robust N: M Sparsity Training in Transformers A Rajeshkumar Bambhaniya, A Yazdanbakhsh, S Subramanian, SC Kao, ... arXiv e-prints, arXiv: 2402.04744, 2024 | | 2024 |
| Proteus: HLS-based NoC Generator and Simulator AR Bambhaniya, Y Chen, R Banerjee, T Krishna 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2023 | | 2023 |
| COMET: A Comprehensive Cluster Design Methodology for Distributed Deep Learning Training D Kiran Kadiyala, S Rashidi, T Heo, A Rajeshkumar Bambhaniya, ... arXiv e-prints, arXiv: 2211.16648, 2022 | | 2022 |
| Sparsify the Weights but Let the Gradients Flow! A Yazdanbakhsh, AR Bambhaniya, S Subramanian, SC Kao, S Agrawal, ... | | |
Tushar KrishnaAssociate Professor, Georgia TechVerified email at ece.gatech.edu
