| In-memory file system for non-volatile memory H Kim, J Ahn, S Ryu, J Choi, H Han Int’l Conf. on Research in Adaptive and Convergent Systems (RACS’13), 479-484, 2013 | 19 | 2013 |
| Compiler-Assisted GPU Thread Throttling for Reduced Cache Contention H Kim, S Hong, H Lee, E Seo, H Han 48th International Conference on Parallel Processing (ICPP’19), 1-10, 2019 | 12 | 2019 |
| Idempotence-Based Preemptive GPU Kernel Scheduling for Embedded Systems H Lee, H Kim, C Kim, H Han, E Seo IEEE Transactions on Computers 70 (3), 332-346, 2021 | 11 | 2021 |
| Detecting binary theft via static major-path birthmarks S Park, H Kim, J Kim, H Han Int’l Conf. on Research in Adaptive and Convergent Systems (RACS’14), 224-229, 2014 | 4 | 2014 |
| Static code transformations for thread‐dense memory accesses in GPU computing H Kim, S Hong, J Park, H Han Concurrency and Computation: Practice and Experience 32 (5), 2020 | 3 | 2020 |
| Compiler-assisted preloading in the shared memory for thread-dense memory requests H Kim, S Hong, S Park, J Park, H Han Lecture Notes in Computer Science 11027 (0), 2017 | 3 | 2017 |
| 비휘발성 메모리 파일시스템을 위한 신뢰성 보장 기법의 파일쓰기 성능 분석 류성태， 김현준， 한환수 정보과학회논문지: 컴퓨팅의 실제 및 레터 19 (11), 591-595, 2013 | 3 | 2013 |
| Escalating Memory Accesses to Shared Memory by Profiling Reuse Y Ko, H Kim, H Han Int’l Conf. on Ubiquitous Information Management and Communication (IMCOM’16 …, 2016 | 2 | 2016 |
| Memory based filesystem for non-volitile main memory H Kim, J Ahn, J Choi, H Han Korean Information Science Society Conference (KSC’12), 376-378, 2012 | 2 | 2012 |
| Accelerating Deep Neural Networks on Mobile Multicore NPUs H Jung, H Ji, M Ostapenko, I Palachev, H Nam, D Lim, H Kim, S Lee, ... IEEE/ACM International Symposium on Code Generation and Optimization (CGO’23), 2023 | 1 | 2023 |
| Balanced cache bypassing for critical warp reduction: work-in-progress S Hong, H Kim, H Han Int’l Conf. on Compilers, Architectures and Synthesis for Embedded Systems …, 2017 | 1 | 2017 |
| GPU thread throttling for page-level thrashing reduction via static analysis H Kim, H Han The Journal of Supercomputing, 1-19, 2024 | | 2024 |
| Universal Deep Learning Compiler: The end-to-end compiler-driven software infrastructure for AI accelerators and systems H Jung, G Lee, B Kim, S Yoon, H Nam, H Kim, D Lim, YH Oh, H Shin, ... C4ML Workshop at CGO23, 2023 | | 2023 |
| Effective Profiling for Data-Intensive GPU Programs: Work-in-Progress H Kim, H Kim, H Han Int’l Conf. on Compilers, Architecture, and Synthesis for Embedded Systems …, 2020 | | 2020 |
| Page Reuse in Cyclic Thrashing of GPU Under Oversubscription: Work-in-Progress D Park, H Kim, H Han Int’l Conf. on Compilers, Architecture, and Synthesis for Embedded Systems …, 2020 | | 2020 |
| Compiler orchestrated on-chip memory optimizations for GPU computing H Kim Ph.D. Thesis, Department of Electrical and Computer Engineering …, 2020 | | 2020 |
| Designing Fast, Reliable In-Memory File Systems for Non-Volatile Memory H Kim, J Ahn, S Ryu, J Choi, H Han Information: an international Interdisciplinary journal 17 (9), 4431-4442, 2014 | | 2014 |
Hwansoo HanSungkyunkwan University在 skku.edu 的电子邮件经过验证
