Jungwoo Kim

According to our database, Jungwoo Kim authored at least 10 papers between 2022 and 2026.

Collaborative distances:

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

2026

Sieve: Dynamic Expert-Aware PIM Acceleration for Evolving Mixture-of-Experts Models.

Jungwoo Kim, Rubens Lacouture, Genghan Zhang, Gina Sohn, Qizheng Zhang, Swapnil Gandhi, Christos Kozyrakis, Kunle Olukotun

CoRR, May, 2026

Streaming Tensor Programs: A Streaming Abstraction for Dynamic Parallelism.

Gina Sohn, Genghan Zhang, Konstantin Hoßfeld, Jungwoo Kim, Nathan Sobotka, Nathan Zhang, Olivia Hsu, Kunle Olukotun

Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2026

2025

Streaming Tensor Program: A streaming abstraction for dynamic parallelism.

Gina Sohn, Genghan Zhang, Konstantin Hoßfeld, Jungwoo Kim, Nathan Sobotka, Nathan Zhang, Olivia Hsu, Kunle Olukotun

CoRR, November, 2025

Hardware-based Heterogeneous Memory Management for Large Language Model Inference.

Soojin Hwang, Jungwoo Kim, Sanghyeon Lee, Hongbeen Kim, Jaehyuk Huh

CoRR, April, 2025

2024

Supporting Secure Multi-GPU Computing with Dynamic and Batched Metadata Management.

Seonjin Na, Jungwoo Kim, Sunho Lee, Jaehyuk Huh

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

2023

Improving Data Reuse in NPU On-chip Memory with Interleaved Gradient Order for DNN Training.

Jungwoo Kim, Seonjin Na, Sanghyeon Lee, Sunho Lee, Jaehyuk Huh

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

mNPUsim: Evaluating the Effect of Sharing Resources in Multi-core NPUs.

Soojin Hwang, Sunho Lee, Jungwoo Kim, Hongbeen Kim, Jaehyuk Huh

Proceedings of the IEEE International Symposium on Workload Characterization, 2023

Joint Demosaicing and Deghosting of Time-Varying Exposures for Single-Shot HDR Imaging.

Jungwoo Kim, Min H. Kim

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Tunable Memory Protection for Secure Neural Processing Units.

Sunho Lee, Seonjin Na, Jungwoo Kim, Jongse Park, Jaehyuk Huh

Proceedings of the IEEE 40th International Conference on Computer Design, 2022

TNPU: Supporting Trusted Execution with Tree-less Integrity Protection for Neural Processing Unit.

Sunho Lee, Jungwoo Kim, Seonjin Na, Jongse Park, Jaehyuk Huh

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022