Tushar Krishna
Georgia Institute of Technology
H-index: 37
North America-United States
Top articles of Tushar Krishna
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Progressive Gradient Flow for Robust N: M Sparsity Training in Transformers | arXiv preprint arXiv:2402.04744 | Abhimanyu Rajeshkumar Bambhaniya Amir Yazdanbakhsh Suvinay Subramanian Sheng-Chun Kao Shivani Agrawal | 2024/2/7 |
H3DFact: Heterogeneous 3D Integrated CIM for Factorization with Holographic Perceptual Representations | arXiv preprint arXiv:2404.04173 | Zishen Wan Che-Kai Liu Mohamed Ibrahim Hanchen Yang Samuel Spetalnick | 2024/4/5 |
Towards Cognitive AI Systems: a Survey and Prospective on Neuro-Symbolic AI | Conference on Machine Learning and Systems (MLSys) Workshop on Systems for Next-Gen AI Paradigms, 1-6 | Zishen Wan Che-Kai Liu Hanchen Yang Chaojian Li Haoran You | 2024/1/2 |
Accurate Low-Degree Polynomial Approximation of Non-polynomial Operators for Fast Private Inference in Homomorphic Encryption | arXiv preprint arXiv:2404.03216 | Jianming Tong Jingtian Dang Anupam Golder Callie Hao Arijit Raychowdhury | 2024/4/4 |
Perspectives on AI Architectures and Codesign for Earth System Predictability | Artificial Intelligence for the Earth Systems | Maruti K Mudunuru James Ang Mahantesh Halappanavar Simon D Hammond Maya B Gokhale | 2024/1 |
Abstracting Sparse DNN Acceleration via Structured Sparse Tensor Decomposition | arXiv preprint arXiv:2403.07953 | Geonhwa Jeong Po-An Tsai Abhimanyu R Bambhaniya Stephen W Keckler Tushar Krishna | 2024/3/12 |
Gear: An efficient kv cache compression recipefor near-lossless generative inference of llm | arXiv preprint arXiv:2403.05527 | Hao Kang Qingru Zhang Souvik Kundu Geonhwa Jeong Zaoxing Liu | 2024/3/8 |
Algorithm-Hardware Co-Design of Distribution-Aware Logarithmic-Posit Encodings for Efficient DNN Inference | arXiv preprint arXiv:2403.05465 | Akshat Ramachandran Zishen Wan Geonhwa Jeong John Gustafson Tushar Krishna | 2024/3/8 |
Mitigating Timing-Based NoC Side-Channel Attacks With LLC Remapping | IEEE Computer Architecture Letters | Anurag Kar Xueyang Liu Yonghae Kim Gururaj Saileshwar Hyesoon Kim | 2023/5/16 |
TNT: A Modular Approach to Traversing Physically Heterogeneous NOCs at Bare-wire Latency | ACM Transactions on Architecture and Code Optimization | Gokul Subramanian Ravi Tushar Krishna Mikko Lipasti | 2023/7/19 |
Session details: Session 2A: ML Design Space ExplorationGeneration | Tushar Krishna | 2023/10/28 | |
XRBench: An extended reality (XR) machine learning benchmark suite for the metaverse | Proceedings of Machine Learning and Systems | Hyoukjun Kwon Krishnakumar Nair Jamin Seo Jason Yik Debabrata Mohapatra | 2023/3/18 |
AIrchitect: Automating Hardware Architecture and Mapping Optimization | Ananda Samajdar Jan Moritz Joseph Tushar Krishna | 2023/4/17 | |
PAF-FHE: Low-Cost Accurate Non-Polynomial Operator Polynomial Approximation in Fully Homomorphic Encryption Based ML Inference | Jingtian Dang Jianming Tong Anupam Golder Arijit Raychowdhury Cong Hao | 2023/5/11 | |
Efficient distributed inference of deep neural networks via restructuring and pruning | Proceedings of the AAAI Conference on Artificial Intelligence | Afshin Abdi Saeed Rashidi Faramarz Fekri Tushar Krishna | 2023/6/26 |
Hardware-Software co-design for real-time latency-accuracy navigation in tinyML applications | IEEE Micro | Payman Behnam Jianming Tong Alind Khare Yangyu Chen Yue Pan | 2023/9/20 |
Vegeta: Vertically-integrated extensions for sparse/dense gemm tile acceleration on cpus | Geonhwa Jeong Sana Damani Abhimanyu Rajeshkumar Bambhaniya Eric Qin Christopher J Hughes | 2023/2/25 | |
TACOS: Topology-Aware Collective Algorithm Synthesizer for Distributed Training | arXiv preprint arXiv:2304.05301 | William Won Midhilesh Elavazhagan Sudarshan Srinivasan Ajaya Durg Swati Gupta | 2023/4/11 |
A High Performance Computing Architecture for Real-Time Digital Emulation of RF Interactions | Mandovi Mukherjee Nael Mizanur Rahman Coleman DeLude Joseph Driscoll Uday Kamal | 2023/5/1 | |
Accelerating Attention Based Models via HW-SW Co-Design using Fine-Grained Sparsification | Abhimanyu Rajesh Bambhaniya Amir Yazdanbakhsh Suvinay Subramanian Tushar Krishna | 2023/6/15 |
Co-Authors
