The following publications are possibly variants of this publication:
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- CXLSim: A Simulator for CXL Memory ExpanderSeongbeom Kim, Jintaek Kang, Kyunghoon Kim, Seungwook Lee, Beomseok Nam. bigcomp 2025: 156-159 [doi]
- Scaling of Memory Performance and Capacity with CXL Memory ExpanderS. J. Park, H. Kim, K. S. Kim, J. So, J. Ahn, W. J. Lee, D. Kim, Y.-J. Kim, J. Seok, J.-G. Lee, H. Y. Ryu, C.-Y. Lee, J. Prout, K.-C. Ryoo, S. J. Han, M.-K. Kook, J. S. Choi, J. Gim, Y. S. Ki, S. Ryu, C. Park, D.-G. Lee, J. Cho, H. Song, J. Y. Lee. hotchips 2022: 1-27 [doi]
- CXL-GPU: Pushing GPU Memory Boundaries with the Integration of CXL TechnologiesDonghyun Gouk, Seungkwan Kang, Seungjun Lee, Jiseon Kim, Kyungkuk Nam, Eojin Ryu, Sangwon Lee 0014, Dongpyung Kim, Junhyeok Jang, Hanyeoreum Bae, Myoungsoo Jung. micro, 45(6):108-117, November - December 2025. [doi]
- Low-Overhead General-Purpose Near-Data Processing in CXL Memory ExpandersHyungkyu Ham, Jeongmin Hong, Geonwoo Park, Yunseon Shin, Okkyun Woo, Wonhyuk Yang, Jinhoon Bae, Eunhyeok Park, Hyojin Sung, Euicheol Lim, Gwangsun Kim. micro 2024: 594-611 [doi]
- Synergizing CXL with Unified Memory for Scalable GPU Memory ExpansionJunseung Lee, Jungrae Kim. elinfocom 2024: 1-4 [doi]