Jieun Choi

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 16

Top Topics

High Throughput

Optimization Strategy

Top Venues

FAS*W@SASO/ICAC

Publications

Yeseung Kim, Dohyun Kim, Jieun Choi, Jisang Park, Nayoung Oh, Daehyung Park
A Survey on Integration of Large Language Models with Intelligent Robots. CoRR (2024)
Jaesung Yoo, Sunghyuk Choi, Ye Seul Yang, Suhyeon Kim, Jieun Choi, Dongkyeong Lim, Yaeji Lim, Hyung Joon Joo, Dae Jung Kim, Rae Woong Park, Hyeong-Jin Yoon, Kwangsoo Kim
Review Learning: Alleviating Catastrophic Forgetting with Generative Replay without Generator. CoRR (2022)
Jieun Choi, Yosang Jeong, Ji Hoon Kang, Gibeom Gu, Hoon Ryu
Empirical Study on the GPU-accelerated HPL Performance: Effects of PCIe Communication. CLUSTER (2022)
Cheongjae Jang, Sang-Kyun Ko, Yung-Kyun Noh, Jieun Choi, Jongwon Lim, Tae-Jeong Kim
Learning to increase matching efficiency in identifying additional b-jets in the tt̅b̅ process. CoRR (2021)
Seungwoo Rho, Geunchul Park, Jieun Choi, Chan-Yeol Park
Development of benchmark automation suite and evaluation of various high-performance computing systems. Clust. Comput. 24 (1) (2021)
Jieun Choi, Hae-Yong Yang, Dong-Ho Cho
TEMPEST Comeback: A Realistic Audio Eavesdropping Threat on Mixed-signal SoCs. CCS (2020)
Jieun Choi, Geunchul Park, Dukyun Nam
Interference-aware co-scheduling method based on classification of application characteristics from hardware performance counter using data mining. Clust. Comput. 23 (1) (2020)
Seungwoo Rho, Jieun Choi, Geunchul Park, Chan-Yeol Park
Performance Analysis of Various Multi-and Many-Core Systems Centered on Memory. FAS*W@SASO/ICAC (2019)
Jieun Choi, Geunchul Park, Dukyun Nam
Efficient Classification of Application Characteristics by Using Hardware Performance Counters with Data Mining. FAS*W@SASO/ICAC (2018)
Jieun Choi, Theodora Adufu, Yoonhee Kim
Data-Locality Aware Scientific Workflow Scheduling Methods in HPC Cloud Environments. Int. J. Parallel Program. 45 (5) (2017)
Jieun Choi, Yoonhee Kim
Adaptive resource provisioning method using application-aware machine learning based on job history in heterogeneous infrastructures. Clust. Comput. 20 (4) (2017)
Seoyoung Kim, Julim Ahn, Heewon Kim, Yoonhee Kim, Jieun Choi
iSDF: An integrated software-defined computing framework for scientific experiments. APNOMS (2017)
Jieun Choi, Hyun Jung Kim
Influence of SNS User Innovativeness and Public Individuation on SNS Usage Patterns and Social Capital Development: The Case of Facebook. Int. J. Hum. Comput. Interact. 32 (12) (2016)
Seoyoung Kim, Jieun Choi, Yoonhee Kim
Adaptive application-aware job scheduling optimization strategy in heterogeneous infrastructures. Clust. Comput. 19 (3) (2016)
Jieun Choi, Yoonhee Kim
An Adaptive Resource Provisioning Method Using Job History Learning Technique in Hybrid Infrastructure. FAS*W@SASO/ICCAC (2016)
Yoori Oh, Jieun Choi, Eunjung Song, Moonji Kim, Yoonhee Kim
A SLA-based Spark cluster scaling method in cloud environment. APNOMS (2016)
Theodora Adufu, Jieun Choi, Yoonhee Kim
Is container-based technology a winner for high performance scientific applications? APNOMS (2015)
Seokhwan Yang, Jieun Choi, Sanghoon Bae, Mokdong Chung
A Hybrid Prediction Model Integrating FCM Clustering Algorithm with Supervised Learning. CSA/CUTE (2015)
Jieun Choi, Younsun Ahn, Seoyoung Kim, Yoonhee Kim, Jaeyoung Choi
VM auto-scaling methods for high throughput computing on hybrid infrastructure. Clust. Comput. 18 (3) (2015)
Jieun Choi, Seoyoung Kim, Theodora Adufu, Soonwook Hwang, Yoonhee Kim
A Job Dispatch Optimization Method on Cluster and Cloud for Large-Scale High-Throughput Computing Service. ICCAC (2015)
Younsun Ahn, Jieun Choi, Sol Jeong, Yoonhee Kim
Auto-scaling method in hybrid cloud for scientific applications. APNOMS (2014)
Jieun Choi, Minjae Park, Suhyun Cha, Hwang Soo Lee
An Adaptive Cell Search and Integral Frequency Offset Estimation in Mobile WiMAX. VTC Spring (2009)