| SIGMA: A Sparse and Irregular GEMM Accelerator with Flexible Interconnects for DNN Training E Qin, A Samajdar, H Kwon, V Nadella, S Srinivasan, D Das, B Kaul, ... Proceedings of the 26th IEEE International Symposium on High-Performance …, 2020 | 470 | 2020 |
| Architecture, chip, and package codesign flow for interposer-based 2.5-D chiplet integration enabling heterogeneous IP reuse J Kim, G Murali, H Park, E Qin, H Kwon, VCK Chekuri, NM Rahman, ... IEEE Transactions on Very Large Scale Integration (VLSI) Systems 28 (11 …, 2020 | 79 | 2020 |
| Architecture, chip, and package co-design flow for 2.5 D IC design enabling heterogeneous IP reuse J Kim, G Murali, H Park, E Qin, H Kwon, V Chaitanya, K Chekuri, N Dasari, ... Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019 | 60 | 2019 |
| Understanding the design-space of sparse/dense multiphase GNN dataflows on spatial accelerators R Garg, E Qin, F Muñoz-Matrínez, R Guirado, A Jain, S Abadal, ... 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2022 | 44* | 2022 |
| Extending Sparse Tensor Accelerators to Support Multiple Compression Formats E Qin, G Jeong, W Won, SC Kao, H Kwon, S Srinivasan, D Das, GE Moon, ... International Symposium on Parallel and Distributed Processing (IPDPS), 2021 | 22 | 2021 |
| RASA: Efficient Register-Aware Systolic Array Matrix Engine for CPU G Jeong, E Qin, A Samajdar, CJ Hughes, S Subramoney, H Kim, ... Proceedings of the 58th Annual Design Automation Conference 2021, 2021 | 19 | 2021 |
| 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 | 18 | 2023 |
| Self adaptive reconfigurable arrays (SARA) learning flexible GEMM accelerator configuration and mapping-space using ML A Samajdar, E Qin, M Pellauer, T Krishna Proceedings of the 59th ACM/IEEE Design Automation Conference, 583-588, 2022 | 13 | 2022 |
| 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 | 7 | 2022 |
| K-tanh: Hardware efficient activations for deep learning A Kundu, S Srinivasan, EC Qin, D Kalamkar, NK Mellempudi, D Das, ... arXiv preprint arXiv:1909.07729, 2019 | 4 | 2019 |
| K-tanh: Efficient tanh for deep learning A Kundu, A Heinecke, D Kalamkar, S Srinivasan, EC Qin, NK Mellempudi, ... arXiv preprint arXiv:1909.07729, 2019 | 2 | 2019 |
| PipeOrgan: Efficient Inter-operation Pipelining with Flexible Spatial Organization and Interconnects R Garg, H Kwon, E Qin, YH Chen, T Krishna, L Lai arXiv preprint arXiv:2405.01736, 2024 | 1 | 2024 |
| Context-aware control of smart objects via human-machine communication M Muztoba, E Qin, N Tran, UY Ogras 2015 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-4, 2015 | 1 | 2015 |
| Building Efficient Tensor Accelerators for Sparse and Irregular Workloads E Qin Georgia Institute of Technology, 2022 | | 2022 |
| Clock Delivery Network Design and Analysis for Interposer-Based 2.5-D Heterogeneous Systems G Murali, H Park, E Qin, HM Torun, MA Dolatsara, M Swaminathan, ... IEEE Transactions on Very Large Scale Integration (VLSI) Systems 29 (4), 605-616, 2021 | | 2021 |
| Utilizing Spatial Accelerators for Machine Learning and Linear Algebra Kernels. GE Moon, S Rajamanickam, T Krishna, H Kwon, P Chatarasi, E Qin Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020 | | 2020 |
| LLM Inference Performance on Chiplet-based Architectures and Systems S Oh, E Qin, Y Yang, M Zhang, R Parihar, A Pandya Dimension 8192 (12288), 16384, 0 | | |
Tushar KrishnaAssociate Professor, Georgia TechVerified email at ece.gatech.edu
