Data Structures for Storing File Namespace in Distributed File System. - Luu Hoang Long; Eunmi Choi; SangBum Kim; Pilsung Kim (NCM (1), 2008)

A Taxonomy and Survey on Distributed File Systems. - Doan Thanh Tran; Subaji Mohan; Eunmi Choi; SangBum Kim; Pilsung Kim (NCM (1), 2008)

Distributed File System: Efficiency Experiments for Data Access and Communication. - Bipin Upadhyaya; Fahriddin Azimov; Doan Thanh Tran; Eunmi Choi; SangBum Kim; Pilsung Kim (NCM (2), 2008)

Fabrication and Characterization of Emerging Nanoscale Memory. - SangBum Kim; Yuan Zhang; Byoungil Lee; Marissa Caldwell; H.-S. Philip Wong (ISCAS, 2009)

Phase Change Memory. - H.-S. Philip Wong; Simone Raoux; SangBum Kim; Jiale Liang; John P. Reifenberg; Bipin Rajendran; Mehdi Asheghi; Kenneth E. Goodson (Proc. IEEE, 2010)

Post-silicon calibration of analog CMOS using phase-change memory cells. - Cheng-Yuan Wen; Jeyanandh Paramesh; Larry T. Pileggi; Jing Li 073; SangBum Kim; Jonathan E. Proesel; Chung Lam (ESSCIRC, 2011)

Brain-like associative learning using a nanoscale non-volatile phase change synaptic device array. - Sukru Burc Eryilmaz; Duygu Kuzum; Rakesh Gnana David Jeyasingh; SangBum Kim; Matthew BrightSky; Chung Lam; H.-S. Philip Wong (CoRR, 2014)

Experimental Demonstration of Array-level Learning with Phase Change Synaptic Devices. - Sukru Burc Eryilmaz; Duygu Kuzum; Rakesh Gnana David Jeyasingh; SangBum Kim; Matthew BrightSky; Chung Lam; H.-S. Philip Wong (CoRR, 2014)

7.3 A resistance-drift compensation scheme to reduce MLC PCM raw BER by over 100× for storage-class memory applications. - Win-San Khwa; Meng-Fan Chang; Jau-Yi Wu; Ming-Hsiu Lee; Tzu-Hsiang Su; Keng-Hao Yang; Tien-Fu Chen; Tien-Yen Wang; Hsiang-Pang Li; Matthew BrightSky; SangBum Kim; Hsiang-Lam Lung; et al. (ISSCC, 2016)

Training a Probabilistic Graphical Model with Resistive Switching Electronic Synapses. - Sukru Burc Eryilmaz; Emre Neftci; Siddharth Joshi 001; SangBum Kim; Matthew BrightSky; Hsiang-Lan Lung; Chung Lam; Gert Cauwenberghs; H.-S. Philip Wong (CoRR, 2016)

Recent Progress in Phase-Change Memory Technology. - Geoffrey W. Burr; Matthew J. BrightSky; Abu Sebastian; Huai-Yu Cheng; Jau-Yi Wu; SangBum Kim; Norma E. Sosa; Nikolaos Papandreou; Hsiang-Lan Lung; Haralampos Pozidis; Evangelos Eleftheriou; Chung Hon Lam (IEEE J. Emerg. Sel. Topics Circuits Syst., 2016)

Opportunities for Analog Coding in Emerging Memory Systems. - Jesse H. Engel; Sukru Burc Eryilmaz; SangBum Kim; Matthew BrightSky; Chung Lam; Hsiang-Lan Lung; Bruno A. Olshausen; H.-S. Philip Wong (CoRR, 2017)

A Resistance Drift Compensation Scheme to Reduce MLC PCM Raw BER by Over 100× for Storage Class Memory Applications. - Win-San Khwa; Meng-Fan Chang; Jau-Yi Wu; Ming-Hsiu Lee; Tzu-Hsiang Su; Keng-Hao Yang; Tien-Fu Chen; Tien-Yen Wang; Hsiang-Pang Li; Matthew J. BrightSky; SangBum Kim; Hsiang-Lam Lung; et al. (IEEE J. Solid State Circuits, 2017)

NVM Weight Variation Impact on Analog Spiking Neural Network Chip. - Akiyo Nomura; Megumi Ito; Atsuya Okazaki; Masatoshi Ishii; SangBum Kim; Junka Okazawa; Kohji Hosokawa; Wilfried Haensch (ICONIP (7), 2018)

Reliability benefits of a metallic liner in confined PCM. - Wanki Kim; SangBum Kim; Robert L. Bruce; Fabio Carta; G. Fraczak; A. Ray; Chung Lam; Matthew BrightSky; Yu Zhu; T. Masuda; K. Suu; Yujun Xie; et al. (IRPS, 2018)

Performance Analysis of Spiking RBM with Measurement-Based Phase Change Memory Model. - Masatoshi Ishii; Megumi Ito; Wanki Kim; SangBum Kim; Akiyo Nomura; Atsuya Okazaki; Junka Okazawa; Kohji Hosokawa; Matthew BrightSky; Wilfried Haensch (ICONIP (5), 2019)

Training Large-Scale Spiking Neural Networks on Multi-core Neuromorphic System Using Backpropagation. - Megumi Ito; Malte J. Rasch; Masatoshi Ishii; Atsuya Okazaki; SangBum Kim; Junka Okazawa; Akiyo Nomura; Kohji Hosokawa; Wilfried Haensch (ICONIP (3), 2019)

Analysis of Effect of Weight Variation on SNN Chip with PCM-Refresh Method. - Akiyo Nomura; Megumi Ito; Atsuya Okazaki; Masatoshi Ishii; SangBum Kim; Junka Okazawa; Kohji Hosokawa; Wilfried Haensch (Neural Process. Lett., 2021)

Pattern Training, Inference, and Regeneration Demonstration Using On-Chip Trainable Neuromorphic Chips for Spiking Restricted Boltzmann Machine. - Uicheol Shin; Masatoshi Ishii; Atsuya Okazaki; Megumi Ito; Malte J. Rasch; Wanki Kim; Akiyo Nomura; Wonseok Choi 012; Dooyong Koh; Kohji Hosokawa; Matthew BrightSky; Seiji Munetoh; et al. (Adv. Intell. Syst., 2022)