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Geonhwa Jeong
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2020 – today
- 2024
- [c11]Akshat Ramachandran
, Zishen Wan
Algorithm-Hardware Co-Design of Distribution-Aware Logarithmic-Posit Encodings for Efficient DNN Inference. DAC 2024: 326:1-326:6 - [c10]Seonjin Na, Geonhwa Jeong, Byung Hoon Ahn, Jeffrey Young, Tushar Krishna, Hyesoon Kim:
Understanding Performance Implications of LLM Inference on CPUs. IISWC 2024: 169-180 - [i11]Akshat Ramachandran, Zishen Wan, Geonhwa Jeong, John Gustafson, Tushar Krishna:
Algorithm-Hardware Co-Design of Distribution-Aware Logarithmic-Posit Encodings for Efficient DNN Inference. CoRR abs/2403.05465 (2024) - [i10]Hao Kang, Qingru Zhang, Souvik Kundu, Geonhwa Jeong, Zaoxing Liu, Tushar Krishna, Tuo Zhao:
GEAR: An Efficient KV Cache Compression Recipe for Near-Lossless Generative Inference of LLM. CoRR abs/2403.05527 (2024) - [i9]Geonhwa Jeong, Po-An Tsai, Abhimanyu Rajeshkumar Bambhaniya, Stephen W. Keckler, Tushar Krishna:
Abstracting Sparse DNN Acceleration via Structured Sparse Tensor Decomposition. CoRR abs/2403.07953 (2024) - [i8]Abhimanyu Bambhaniya, Ritik Raj, Geonhwa Jeong, Souvik Kundu, Sudarshan Srinivasan, Midhilesh Elavazhagan, Madhu Kumar, Tushar Krishna:
Demystifying Platform Requirements for Diverse LLM Inference Use Cases. CoRR abs/2406.01698 (2024) - [i7]Geonhwa Jeong, Po-An Tsai, Stephen W. Keckler, Tushar Krishna:
SDQ: Sparse Decomposed Quantization for LLM Inference. CoRR abs/2406.13868 (2024) - 2023
- [c9]Geonhwa Jeong, Sana Damani, Abhimanyu Rajeshkumar Bambhaniya
VEGETA: Vertically-Integrated Extensions for Sparse/Dense GEMM Tile Acceleration on CPUs. HPCA 2023: 259-272 - [c8]Geonhwa Jeong, Bikash Sharma, Nick Terrell, Abhishek Dhanotia, Zhiwei Zhao, Niket Agarwal, Arun Kejariwal, Tushar Krishna:
Characterization of Data Compression in Datacenters. ISPASS 2023: 1-12 - [i6]Geonhwa Jeong, Sana Damani, Abhimanyu Rajeshkumar Bambhaniya, Eric Qin, Christopher J. Hughes, Sreenivas Subramoney, Hyesoon Kim, Tushar Krishna:
VEGETA: Vertically-Integrated Extensions for Sparse/Dense GEMM Tile Acceleration on CPUs. CoRR abs/2302.08687 (2023) - 2022
- [j1]Gordon Euhyun Moon
Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication. IEEE Trans. Parallel Distributed Syst. 33(4): 1002-1014 (2022) - [c7]Geonhwa Jeong, Bikash Sharma, Nick Terrell, Abhishek Dhanotia, Zhiwei Zhao, Niket Agarwal, Arun Kejariwal, Tushar Krishna:
Understanding Data Compression in Warehouse-Scale Datacenter Services. ISPASS 2022: 221-223 - 2021
- [c6]Geonhwa Jeong, Gokcen Kestor, Prasanth Chatarasi, Angshuman Parashar, Po-An Tsai, Sivasankaran Rajamanickam, Roberto Gioiosa, Tushar Krishna:
Union: A Unified HW-SW Co-Design Ecosystem in MLIR for Evaluating Tensor Operations on Spatial Accelerators. PACT 2021: 30-44 - [c5]Jan Moritz Joseph
Bridging the Frequency Gap in Heterogeneous 3D SoCs through Technology-Specific NoC Router Architectures. ASP-DAC 2021: 197-203 - [c4]Geonhwa Jeong, Eric Qin, Ananda Samajdar, Christopher J. Hughes
RASA: Efficient Register-Aware Systolic Array Matrix Engine for CPU. DAC 2021: 253-258 - [c3]Eric Qin, Geonhwa Jeong, William Won
Extending Sparse Tensor Accelerators to Support Multiple Compression Formats. IPDPS 2021: 1014-1024 - [i5]Eric Qin, Geonhwa Jeong, William Won, Sheng-Chun Kao, Hyoukjun Kwon, Sudarshan Srinivasan, Dipankar Das, Gordon Euhyun Moon, Sivasankaran Rajamanickam, Tushar Krishna:
Extending Sparse Tensor Accelerators to Support Multiple Compression Formats. CoRR abs/2103.10452 (2021) - [i4]Gordon Euhyun Moon, Hyoukjun Kwon, Geonhwa Jeong, Prasanth Chatarasi, Sivasankaran Rajamanickam, Tushar Krishna:
Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication. CoRR abs/2106.10499 (2021) - [i3]Geonhwa Jeong, Gokcen Kestor, Prasanth Chatarasi, Angshuman Parashar, Po-An Tsai, Sivasankaran Rajamanickam, Roberto Gioiosa, Tushar Krishna:
Union: A Unified HW-SW Co-Design Ecosystem in MLIR for Evaluating Tensor Operations on Spatial Accelerators. CoRR abs/2109.07419 (2021) - [i2]Geonhwa Jeong, Eric Qin, Ananda Samajdar, Christopher J. Hughes, Sreenivas Subramoney, Hyesoon Kim, Tushar Krishna:
RASA: Efficient Register-Aware Systolic Array Matrix Engine for CPU. CoRR abs/2110.01752 (2021) - 2020
- [c2]Sheng-Chun Kao, Geonhwa Jeong, Tushar Krishna:
ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using Reinforcement Learning. MICRO 2020: 622-636 - [i1]Sheng-Chun Kao, Geonhwa Jeong, Tushar Krishna:
ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using Reinforcement Learning. CoRR abs/2009.02010 (2020)
2010 – 2019
- 2018
- [c1]Kyoungmin Kim
TurboFlux: A Fast Continuous Subgraph Matching System for Streaming Graph Data. SIGMOD Conference 2018: 411-426
Coauthor Index
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