| ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using Reinforcement Learning SC Kao, G Jeong, T Krishna International Symposium on Microarchitecture (MICRO), 622-636, 2020 | 125 | 2020 |
| TurboFlux: A fast continuous subgraph matching system for streaming graph data K Kim, I Seo, WS Han, JH Lee, S Hong, H Chafi, H Shin, G Jeong International Conference on Management of Data (SIGMOD), 411-426, 2018 | 71 | 2018 |
| GEAR: An Efficient KV Cache Compression Recipe for Near-Lossless Generative Inference of LLM H Kang, Q Zhang, S Kundu, G Jeong, Z Liu, T Krishna, T Zhao arXiv preprint arXiv:2403.05527, 2024 | 48 | 2024 |
| Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication GE Moon, H Kwon, G Jeong, P Chatarasi, S Rajamanickam, T Krishna IEEE Transactions on Parallel and Distributed Systems (TPDS), 2021 | 27 | 2021 |
| 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 Parallel & Distributed Processing Symposium (IPDPS), 2021 | 24 | 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, ... International Symposium on High-Performance Computer Architecture (HPCA), 2023 | 20 | 2023 |
| Union: A Unified HW-SW Co-Design Ecosystem in MLIR for Evaluating Tensor Operations on Spatial Accelerators G Jeong, G Kestor, P Chatarasi, A Parashar, PA Tsai, S Rajamanickam, ... International Conference on Parallel Architectures and Compilation …, 2021 | 19 | 2021 |
| RASA: Efficient Register-Aware Systolic Array Matrix Engine for CPU G Jeong, E Qin, A Samajdar, CJ Hughes, S Subramoney, H Kim, ... Design Automation Conference (DAC), 2021 | 19 | 2021 |
| Algorithm-Hardware Co-Design of Distribution-Aware Logarithmic-Posit Encodings for Efficient DNN Inference A Ramachandran, Z Wan, G Jeong, J Gustafson, T Krishna Design Automation Conference (DAC), 2024 | 10 | 2024 |
| Demystifying Platform Requirements for Diverse LLM Inference Use Cases A Bambhaniya, R Raj, G Jeong, S Kundu, S Srinivasan, M Elavazhagan, ... arXiv preprint arXiv:2406.01698, 2024 | 7 | 2024 |
| Characterization of Data Compression in Datacenters G Jeong, B Sharma, N Terrell, A Dhanotia, Z Zhao, N Agarwal, ... International Symposium on Performance Analysis of Systems and Software …, 2023 | 3 | 2023 |
| SDQ: Sparse Decomposed Quantization for LLM Inference G Jeong, PA Tsai, SW Keckler, T Krishna arXiv preprint arXiv:2406.13868, 2024 | 1 | 2024 |
| Understanding Data Compression in Warehouse-Scale Datacenter Services G Jeong, B Sharma, N Terrell, A Dhanotia, Z Zhao, N Agarwal, ... International Symposium on Performance Analysis of Systems and Software …, 2022 | 1 | 2022 |
| Bridging the Frequency Gap in Heterogeneous 3D SoCs through Technology-Specific NoC Router Architectures JM Joseph, L Bamberg, G Jeong, RT Chien, R Leupers, A Garía-Ortiz, ... Asia and South Pacific Design Automation Conference (ASP-DAC), 197–203, 2021 | 1 | 2021 |
| Generating sparse neural networks G Jeong, PA Tsai, JM Pool US Patent US20240152407A1, 2024 | | 2024 |
| 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 |
| Understanding Performance Implications of LLM Inference on CPUs S Na, G Jeong, BH Ahn, J Young, T Krishna, H Kim International Symposium on Workload Characterization (IISWC), 2024 | | 2024 |
Tushar KrishnaAssociate Professor, Georgia TechVerified email at ece.gatech.edu
