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Hyunjun Kim
Hyunjun Kim
Samsung Advanced Institute of Technology (SAIT)
Verified email at samsung.com - Homepage
Title
Cited by
Cited by
Year
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
192013
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
122019
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
112021
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
42014
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
32020
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
32017
비휘발성 메모리 파일시스템을 위한 신뢰성 보장 기법의 파일쓰기 성능 분석
류성태, 김현준, 한환수
정보과학회논문지: 컴퓨팅의 실제 및 레터 19 (11), 591-595, 2013
32013
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
22012
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
12017
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
12016
GPU thread throttling for page-level thrashing reduction via static analysis
H Kim, H Han
The Journal of Supercomputing, 1-19, 2023
2023
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
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
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
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Articles 1–17