Geonhwa Jeong

According to our database, Geonhwa Jeong authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

SDQ: Sparse Decomposed Quantization for LLM Inference.

Geonhwa Jeong, Po-An Tsai, Stephen W. Keckler, Tushar Krishna

CoRR, 2024

Demystifying Platform Requirements for Diverse LLM Inference Use Cases.

Abhimanyu Bambhaniya, Ritik Raj, Geonhwa Jeong, Souvik Kundu, Sudarshan Srinivasan, Midhilesh Elavazhagan, Madhu Kumar, Tushar Krishna

CoRR, 2024

Abstracting Sparse DNN Acceleration via Structured Sparse Tensor Decomposition.

Geonhwa Jeong, Po-An Tsai, Abhimanyu Rajeshkumar Bambhaniya, Stephen W. Keckler, Tushar Krishna

CoRR, 2024

GEAR: An Efficient KV Cache Compression Recipe for Near-Lossless Generative Inference of LLM.

Hao Kang, Qingru Zhang, Souvik Kundu, Geonhwa Jeong, Zaoxing Liu, Tushar Krishna, Tuo Zhao

CoRR, 2024

Understanding Performance Implications of LLM Inference on CPUs.

Seonjin Na, Geonhwa Jeong, Byung Hoon Ahn, Jeffrey Young, Tushar Krishna, Hyesoon Kim

Proceedings of the IEEE International Symposium on Workload Characterization, 2024

Algorithm-Hardware Co-Design of Distribution-Aware Logarithmic-Posit Encodings for Efficient DNN Inference.

Akshat Ramachandran, Zishen Wan, Geonhwa Jeong, John Gustafson, Tushar Krishna

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

Characterization of Data Compression in Datacenters.

Geonhwa Jeong, Bikash Sharma, Nick Terrell, Abhishek Dhanotia, Zhiwei Zhao, Niket Agarwal, Arun Kejariwal, Tushar Krishna

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2023

VEGETA: Vertically-Integrated Extensions for Sparse/Dense GEMM Tile Acceleration on CPUs.

Geonhwa Jeong, Sana Damani, Abhimanyu Rajeshkumar Bambhaniya, Eric Qin, Christopher J. Hughes, Sreenivas Subramoney, Hyesoon Kim, Tushar Krishna

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2023

2022

Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication.

Gordon Euhyun Moon, Hyoukjun Kwon, Geonhwa Jeong, Prasanth Chatarasi, Sivasankaran Rajamanickam, Tushar Krishna

IEEE Trans. Parallel Distributed Syst., 2022

Understanding Data Compression in Warehouse-Scale Datacenter Services.

Geonhwa Jeong, Bikash Sharma, Nick Terrell, Abhishek Dhanotia, Zhiwei Zhao, Niket Agarwal, Arun Kejariwal, Tushar Krishna

Proceedings of the International IEEE Symposium on Performance Analysis of Systems and Software, 2022

2021

Extending Sparse Tensor Accelerators to Support Multiple Compression Formats.

Eric Qin, Geonhwa Jeong, William Won, Sheng-Chun Kao, Hyoukjun Kwon, Sudarshan Srinivasan, Dipankar Das, Gordon Euhyun Moon, Sivasankaran Rajamanickam, Tushar Krishna

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

RASA: Efficient Register-Aware Systolic Array Matrix Engine for CPU.

Geonhwa Jeong, Eric Qin, Ananda Samajdar, Christopher J. Hughes, Sreenivas Subramoney, Hyesoon Kim, Tushar Krishna

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

Bridging the Frequency Gap in Heterogeneous 3D SoCs through Technology-Specific NoC Router Architectures.

Jan Moritz Joseph, Lennart Bamberg, Geonhwa Jeong, Ruei-Ting Chien, Rainer Leupers, Alberto García-Ortiz, Tushar Krishna, Thilo Pionteck

Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

Union: A Unified HW-SW Co-Design Ecosystem in MLIR for Evaluating Tensor Operations on Spatial Accelerators.

Geonhwa Jeong, Gokcen Kestor, Prasanth Chatarasi, Angshuman Parashar, Po-An Tsai, Sivasankaran Rajamanickam, Roberto Gioiosa, Tushar Krishna

Proceedings of the 30th International Conference on Parallel Architectures and Compilation Techniques, 2021

2020

ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using Reinforcement Learning.

Sheng-Chun Kao, Geonhwa Jeong, Tushar Krishna

Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

2018

TurboFlux: A Fast Continuous Subgraph Matching System for Streaming Graph Data.

Kyoungmin Kim, In Seo, Wook-Shin Han, Jeong-Hoon Lee, Sungpack Hong, Hassan Chafi, Hyungyu Shin, Geonhwa Jeong

Proceedings of the 2018 International Conference on Management of Data, 2018