Minwoo Ahn

dblp:289/6953 · DBLP profile ↗
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4ranked-venue papers
2as first author
4since 2021 · last 2026
0000-0002-7087-1712ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 2 · 2 since 2021Software engineering, systems software and programming languages · 2 · 2 first-author · 2 since 2021Databases, data management, data science and information retrieval · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021
YearPublicationVenuePosition
2026 Beyond Static Policies: Dynamic-PRAC for Balanced and Efficient Rowhammer Mitigation
Minwoo Ahn, Jisung Park 0001, Jinkyu Jeong
ISLPED2
2024 Identifying On-/Off-CPU Bottlenecks Together with Blocked Samples
Minwoo Ahn, Jeongmin Han, Youngjin Kwon, Jinkyu Jeong
OSDI1
2021 D2FQ: Device-Direct Fair Queueing for NVMe SSDs
Jiwon Woo, Minwoo Ahn, Gyusun Lee, Jinkyu Jeong
FAST2
2021 SCOZ: A system-wide causal profiler for multicore systems
abstract
Abstract The increased complexity of hardware and software makes it difficult to analyze programs with conventional profilers. The causal profiling technique is introduced to solve the problem of conventional profilers. The causal profiling technique finds the bottleneck of the program and shows the effect of optimizing it. COZ, the newest causal profiler, exploits a technique called virtual speedup to perform causal profiling without actually optimizing program codes. However, it can only profile multithreaded applications, and cannot profile multiprogram applications and operating system (OS) kernel codes, thereby limiting the use of causal profiling. This article introduces SCOZ, a system‐wide causal profiler that addresses these limitations. The proposed profiler changes the target of virtual speedup from threads to CPU cores, thereby expanding the profiling coverage to diverse applications as well as OS kernel codes. To verify our profiler, we profiled multithreaded and OS kernel‐intensive applications. For multithread applications, our profiler shows identical results to what COZ provides. For the OS kernel‐intensive applications, our profiler identifies identical bottlenecks that previous OS scalability studies have pinpointed. Finally, we verified the profiling capability of the proposed profiler by profiling and optimizing multiprocess applications in the NAS parallel benchmark suite.
Minwoo Ahn, Taekeun Nam, Jinkyu Jeong
Softw. Pract. Exp.1