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2020 – today
- 2024
[c17]Shinyoung Ahn, Sookwang Lee, Hyeonseong Choi, Jaehyun Lee:
Efficient Data-parallel Distributed DNN Training for Big Dataset under Heterogeneous GPU Cluster. IEEE Big Data 2024: 179-188- [c16]Hooyoung Ahn, Seonyoung Kim, Yoo-Mi Park, Woojong Han, Shinyoung Ahn, Tu Tran, Bharath Ramesh, Hari Subramoni, Dhabaleswar K. Panda:
MPI Allgather Utilizing CXL Shared Memory Pool in Multi-Node Computing Systems. IEEE Big Data 2024: 332-337 - [c15]Shinyoung Ahn, Hooyoung Ahn, Hyeonseong Choi, Jaehyun Lee:
EDDIS: Accelerating Distributed Data-Parallel DNN Training for Heterogeneous GPU Cluster. IPDPS (Workshops) 2024: 1167-1168 - [c14]Tu Tran
, Mustafa Abduljabbar, Hooyoung Ahn, Seonyoung Kim, Yoo-Mi Park, Woojong Han, Shin-Young Ahn, Hari Subramoni, Dhabaleswar K. Panda:
OMB-CXL: A Micro-Benchmark Suite for Evaluating MPI Communication Utilizing Compute Express Link Memory Devices. PEARC 2024: 27:1-27:8 - 2023
- [c13]Young-Ho Kim, Eunji Lim, Shin-Young Ahn, Yoo-Mi Park:
A device driver for the AB21 SoC in Supreme-K system. ICTC 2023: 1781-1784 - 2022
- [c12]Eun-Ji Lim, Shin-Young Ahn, Young-Ho Kim, Yoo-Mi Park:
Device Driver Emulator for Parallel Computing Accelerator Simulator supporting OpenCL. ICTC 2022: 2352-2355 - 2021
- [c11]Eun-Ji Lim, Shin-Young Ahn:
Deep Learning Framework using Scalable Shared Memory Buffer Framework. ICEIC 2021: 1-3 - 2020
- [j2]Shin-Young Ahn, Eunji Lim:
SoftMemoryBox II: A Scalable, Shared Memory Buffer Framework for Accelerating Distributed Training of Large-Scale Deep Neural Networks. IEEE Access 8: 207097-207111 (2020)
2010 – 2019
- 2019
- [c10]Yoo-Mi Park, Eun-Ji Lim, Shin-Young Ahn, Wan Choi, Taewoo Kim:
DL-dashboard: user-friendly deep learning model development environment. IUI Companion 2019: 73-74 - 2018
- [j1]Shin-Young Ahn, Joongheon Kim, Eunji Lim, Sungwon Kang:
Soft Memory Box: A Virtual Shared Memory Framework for Fast Deep Neural Network Training in Distributed High Performance Computing. IEEE Access 6: 26493-26504 (2018) - [c9]Shin-Young Ahn, Joongheon Kim, Eunji Lim, Wan Choi, Aziz Mohaisen, Sungwon Kang:
ShmCaffe: A Distributed Deep Learning Platform with Shared Memory Buffer for HPC Architecture. ICDCS 2018: 1118-1128 - [c8]Shin-Young Ahn, Joongheon Kim, Sungwon Kang:
A novel shared memory framework for distributed deep learning in high-performance computing architecture. ICSE (Companion Volume) 2018: 191-192 - [c7]Eun-Ji Lim, Shin-Young Ahn, Yoo-Mi Park, Wan Choi:
Distributed Deep Learning Framework based on Shared Memory for Fast Deep Neural Network Training. ICTC 2018: 1239-1242 - 2017
- [c6]Eun-Ji Lim, Shin-Young Ahn, Wan Choi:
Accelerating training of DNN in distributed machine learning system with shared memory. ICTC 2017: 1209-1212 - [c5]Eun-Ji Lim, Shin-Young Ahn, Young-Ho Kim, Gyu-Il Cha, Wan Choi:
Design of Cache Backend Using Remote Memory for Network File System. HPCS 2017: 864-869 - 2016
- [c4]Shin-Young Ahn, Gyu-Il Cha, Young-Ho Kim, Eun-Ji Lim, Seung-Jo Bae, Won-Young Kim:
Design of distributed memory integration framework(DMIf). ICOIN 2016: 343-347 - 2013
- [c3]Hyun-Hwa Choi, Byoung-Seob Kim, Shin-Young Ahn, Seung-Jo Bae:
A workflow for parallel and distributed computing of large-scale genomic data. ICITST 2013: 215-218
2000 – 2009
- 2009
- [c2]Shin-Young Ahn, Sungwon Kang, Jongmoon Baik, Ho-Jin Choi:
A Weighted Call Graph Approach for Finding Relevant Components in Source Code. SNPD 2009: 539-544 - 2001
- [c1]Soon-Choul Kim, Shin-Young Ahn, Hae-Sook Kim:
A Study of RMON Agent System Based on VxD. ISAS-SCI (1) 2001: 441-446
Coauthor Index
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