Geonhwa Jeong

28 papers A* 4A 1B 3Journal 14Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Unveiling the Potential of Quantization with MXFP4: Strategies for Quantization Error Reduction.
CoRR
Jatin Chhugani, Geonhwa Jeong, Bor-Yiing Su, Yunjie Pan, Hanmei Yang, Aayush Ankit, Jiecao Yu, Summer Deng, Yunqing Chen, Nadathur Satish, Changkyu Kim
2025 J jnl
Accelerating Transformer Inference and Training with 2:4 Activation Sparsity.
CoRR
Daniel Haziza, Timothy Chou, Dhruv Choudhary, Luca Wehrstedt, Francisco Massa, Jiecao Yu, Geonhwa Jeong, Supriya Rao, Patrick Labatut, Jesse Cai
2025 — conf
Enabling Unstructured Sparse Acceleration on Structured Sparse Accelerators.
MLSys
Geonhwa Jeong, Po-An Tsai, Abhimanyu Rajeshkumar Bambhaniya, Stephen W. Keckler, Tushar Krishna
2025 — conf
FlexInfer: Flexible LLM Inference with CPU Computations.
MLSys
Seonjin Na, Geonhwa Jeong, Byung Hoon Ahn, Aaron Jezghani, Jeffrey Young, Christopher J. Hughes, Tushar Krishna, Hyesoon Kim
2024 J jnl
Abstracting Sparse DNN Acceleration via Structured Sparse Tensor Decomposition.
CoRR
Geonhwa Jeong, Po-An Tsai, Abhimanyu Rajeshkumar Bambhaniya, Stephen W. Keckler, Tushar Krishna
2024 A* conf
Algorithm-Hardware Co-Design of Distribution-Aware Logarithmic-Posit Encodings for Efficient DNN Inference.
DAC
Akshat Ramachandran, Zishen Wan, Geonhwa Jeong, John Gustafson, Tushar Krishna
2024 J jnl
Algorithm-Hardware Co-Design of Distribution-Aware Logarithmic-Posit Encodings for Efficient DNN Inference.
CoRR
Akshat Ramachandran, Zishen Wan, Geonhwa Jeong, John Gustafson, Tushar Krishna
2024 J jnl
Demystifying Platform Requirements for Diverse LLM Inference Use Cases.
CoRR
Abhimanyu Bambhaniya, Ritik Raj, Geonhwa Jeong, Souvik Kundu, Sudarshan Srinivasan, Midhilesh Elavazhagan, Madhu Kumar, Tushar Krishna
2024 — conf
GEAR: An Efficient Error Reduction Framework for KV Cache Compression in LLM Inference.
ENLSP
Hao Kang, Qingru Zhang, Souvik Kundu, Geonhwa Jeong, Zaoxing Liu, Tushar Krishna, Tuo Zhao
2024 J jnl
GEAR: An Efficient KV Cache Compression Recipe for Near-Lossless Generative Inference of LLM.
CoRR
Hao Kang, Qingru Zhang, Souvik Kundu, Geonhwa Jeong, Zaoxing Liu, Tushar Krishna, Tuo Zhao
2024 J jnl
SDQ: Sparse Decomposed Quantization for LLM Inference.
CoRR
Geonhwa Jeong, Po-An Tsai, Stephen W. Keckler, Tushar Krishna
2024 — conf
Understanding Performance Implications of LLM Inference on CPUs.
IISWC
Seonjin Na, Geonhwa Jeong, Byung Hoon Ahn, Jeffrey Young, Tushar Krishna, Hyesoon Kim
2023 B conf
Characterization of Data Compression in Datacenters.
ISPASS
Geonhwa Jeong, Bikash Sharma, Nick Terrell, Abhishek Dhanotia, Zhiwei Zhao, Niket Agarwal, Arun Kejariwal, Tushar Krishna
2023 A* conf
VEGETA: Vertically-Integrated Extensions for Sparse/Dense GEMM Tile Acceleration on CPUs.
HPCA
Geonhwa Jeong, Sana Damani, Abhimanyu Rajeshkumar Bambhaniya, Eric Qin, Christopher J. Hughes, Sreenivas Subramoney, Hyesoon Kim, Tushar Krishna
2023 J jnl
VEGETA: Vertically-Integrated Extensions for Sparse/Dense GEMM Tile Acceleration on CPUs.
CoRR
Geonhwa Jeong, Sana Damani, Abhimanyu Rajeshkumar Bambhaniya, Eric Qin, Christopher J. Hughes, Sreenivas Subramoney, Hyesoon Kim, Tushar Krishna
2022 J jnl
Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication.
IEEE Trans. Parallel Distributed Syst.
Gordon Euhyun Moon, Hyoukjun Kwon, Geonhwa Jeong, Prasanth Chatarasi, Sivasankaran Rajamanickam, Tushar Krishna
2022 B conf
Understanding Data Compression in Warehouse-Scale Datacenter Services.
ISPASS
Geonhwa Jeong, Bikash Sharma, Nick Terrell, Abhishek Dhanotia, Zhiwei Zhao, Niket Agarwal, Arun Kejariwal, Tushar Krishna
2021 — conf
Bridging the Frequency Gap in Heterogeneous 3D SoCs through Technology-Specific NoC Router Architectures.
ASP-DAC
Jan Moritz Joseph, Lennart Bamberg, Geonhwa Jeong, Ruei-Ting Chien, Rainer Leupers, Alberto García-Ortiz, Tushar Krishna, Thilo Pionteck
2021 J jnl
Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication.
CoRR
Gordon Euhyun Moon, Hyoukjun Kwon, Geonhwa Jeong, Prasanth Chatarasi, Sivasankaran Rajamanickam, Tushar Krishna
2021 A conf
Extending Sparse Tensor Accelerators to Support Multiple Compression Formats.
IPDPS
Eric Qin, Geonhwa Jeong, William Won, Sheng-Chun Kao, Hyoukjun Kwon, Sudarshan Srinivasan, Dipankar Das, Gordon Euhyun Moon, Sivasankaran Rajamanickam, Tushar Krishna
2021 J jnl
Extending Sparse Tensor Accelerators to Support Multiple Compression Formats.
CoRR
Eric Qin, Geonhwa Jeong, William Won, Sheng-Chun Kao, Hyoukjun Kwon, Sudarshan Srinivasan, Dipankar Das, Gordon Euhyun Moon, Sivasankaran Rajamanickam, Tushar Krishna
2021 A* conf
RASA: Efficient Register-Aware Systolic Array Matrix Engine for CPU.
DAC
Geonhwa Jeong, Eric Qin, Ananda Samajdar, Christopher J. Hughes, Sreenivas Subramoney, Hyesoon Kim, Tushar Krishna
2021 J jnl
RASA: Efficient Register-Aware Systolic Array Matrix Engine for CPU.
CoRR
Geonhwa Jeong, Eric Qin, Ananda Samajdar, Christopher J. Hughes, Sreenivas Subramoney, Hyesoon Kim, Tushar Krishna
2021 B conf
Union: A Unified HW-SW Co-Design Ecosystem in MLIR for Evaluating Tensor Operations on Spatial Accelerators.
PACT
Geonhwa Jeong, Gokcen Kestor, Prasanth Chatarasi, Angshuman Parashar, Po-An Tsai, Sivasankaran Rajamanickam, Roberto Gioiosa, Tushar Krishna
2021 J jnl
Union: A Unified HW-SW Co-Design Ecosystem in MLIR for Evaluating Tensor Operations on Spatial Accelerators.
CoRR
Geonhwa Jeong, Gokcen Kestor, Prasanth Chatarasi, Angshuman Parashar, Po-An Tsai, Sivasankaran Rajamanickam, Roberto Gioiosa, Tushar Krishna
2020 A* conf
ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using Reinforcement Learning.
MICRO
Sheng-Chun Kao, Geonhwa Jeong, Tushar Krishna
2020 J jnl
ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using Reinforcement Learning.
CoRR
Sheng-Chun Kao, Geonhwa Jeong, Tushar Krishna
2018 — conf
TurboFlux: A Fast Continuous Subgraph Matching System for Streaming Graph Data.
SIGMOD Conference
Kyoungmin Kim, In Seo, Wook-Shin Han, Jeong-Hoon Lee, Sungpack Hong, Hassan Chafi, Hyungyu Shin, Geonhwa Jeong