About Me

안현호님1.jpg

Hi!👋  I'm a Ph.D. student in CSE at The Ohio State University, advised by Mi Zhang. This is my [CV]

My research goal is "Improve AI performance by analyzing computer systems"

To be specific, I'm interested in "NPU, AIoT, MLSys, Cloud/Distributed Computing, and Efficient AI” Before joining this group, I received B.S and M.S from Chung-Ang University, advised by Cheol-Ho Hong

📧 [Email]

🔗 [LinkedIn]

🎓 [Google Scholar]

😸 [Github]


Selected Publications

ScissionLite: Accelerating Distributed Deep Learning With Lightweight Data Compression for IIoT

Hyunho Ahn* , Munkyu Lee* , Sihoon Seong , Gap-Joo Na, In-Geol Chun , Blesson Varghese and Cheol-Ho Hong. (IEEE Transactions on Industrial Informatics, JCR 2023 IF: 11.7, Top: 1.8%))[PDF] [Github]

overall_design.png

gShare: A Centralized GPU Memory Management Framework to Enable GPU Memory Sharing for Containers

Lee, Munkyu, Hyunho Ahn, Cheol-Ho Hong, and Dimitrios S. Nikolopoulos (Future Generation Computer Systems, JCR 2020 IF: 7.187, Top: 6.3%)) [PDF]

스크린샷 2021-10-12 오후 5.16.45.png

Performance Characterization of using Quantization for DNN Inference on Edge Devices

Ahn, Hyunho*, Tian Chen*, Nawras Alnaasan, Aamir Shafi, Mustafa Abduljabbar, Hari Subramoni, and Dhabaleswar K. (DK) Panda (Published on IEEE ICFEC 2023) [Paper]

Frontera_mobileNet_offline_all_frameworks.png