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Jae-Eon Jo
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2020 – today
- 2022
- [j2]Hamin Jang, Taehun Kang, Joonsung Kim, Jaeyong Cho, Jae-Eon Jo, Seungwook Lee, Wooseok Chang, Jangwoo Kim, Hanhwi Jang:
LSim: Fine-Grained Simulation Framework for Large-Scale Performance Evaluation. IEEE Comput. Archit. Lett. 21(1): 25-28 (2022)
2010 – 2019
- 2019
- [c5]Hanhwi Jang, Joonsung Kim, Jae-Eon Jo, Jaewon Lee, Jangwoo Kim:
MnnFast: a fast and scalable system architecture for memory-augmented neural networks. ISCA 2019: 250-263 - 2018
- [j1]Jae-Eon Jo, Gyu-hyeon Lee, Hanhwi Jang, Jaewon Lee, Mohammadamin Ajdari, Jangwoo Kim:
DiagSim: Systematically Diagnosing Simulators for Healthy Simulations. ACM Trans. Archit. Code Optim. 15(1): 4:1-4:27 (2018) - [c4]Hanhwi Jang, Jae-Eon Jo, Jaewon Lee, Jangwoo Kim:
RpStacks-MT: A High-Throughput Design Evaluation Methodology for Multi-Core Processors. MICRO 2018: 586-599 - 2017
- [c3]Jaewon Lee, Hanhwi Jang, Jae-Eon Jo, Gyu-hyeon Lee, Jangwoo Kim:
StressRight: Finding the right stress for accurate in-development system evaluation. ISPASS 2017: 205-216 - [c2]Youngsok Kim, Jae-Eon Jo, Hanhwi Jang, Minsoo Rhu, Hanjun Kim, Jangwoo Kim:
GPUpd: a fast and scalable multi-GPU architecture using cooperative projection and distribution. MICRO 2017: 574-586 - 2014
- [c1]Youngsok Kim, Jaewon Lee, Jae-Eon Jo, Jangwoo Kim:
GPUdmm: A high-performance and memory-oblivious GPU architecture using dynamic memory management. HPCA 2014: 546-557
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