Yong Cheol Peter Cho

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 10

Top Topics

Video Analytics

Top Venues

Publications

Youngsu Kwon, Jinho Han, Yong Cheol Peter Cho, Juyeob Kim, Jaehoon Chung, Jaewoong Choi, Sujin Park, Igyeong Kim, Hyunjeong Kwon, Jinkyu Kim, Hyunmi Kim, Won Jeon, Young-Deuk Jeon, Min-Hyung Cho, Minseok Choi
Chiplet Heterogeneous-Integration AI Processor. ICEIC (2023)
Won Jeon, Yong Cheol Peter Cho, Hyun-Mi Kim, Hyeji Kim, Jaehoon Chung, Ju-Yeob Kim, Miyoung Lee, Chun-Gi Lyuh, Jinho Han, Youngsu Kwon
M3FPU: Multiformat Matrix Multiplication FPU Architectures for Neural Network Computations. AICAS (2022)
Jinho Han, Chun-Gi Lyuh, Kyeongsun Shin, Hyun-Mi Kim, Hyunjeong Kwon, Jaehoon Chung, Yong Cheol Peter Cho, Jinkyu Kim, Jeonghui Suk, Chan Kim, Minseok Choi, Youngsu Kwon
ArtBrain-K: AI Processor based-on 5-PetaFLOPS AI Server System. AICAS (2022)
Je-Seok Ham, Yong Cheol Peter Cho, Ju-Yeob Kim, Chun-Gi Lyuh, Jin-Kyu Kim, Jinho Han, Youngsu Kwon
HPC LINPACK Parameter Optimization on Homo-/Heterogeneous System of ARM Neoverse N1SDP. HPC Asia (2021)
Hyeji Kim, Jaehoon Chung, Kyoung-Seon Shin, Chun-Gi Lyuh, Hyun-Mi Kim, Chan Kim, Yong Cheol Peter Cho, Jeongmin Yang, Je-Seok Ham, Minseok Choi, Jinho Han, Youngsu Kwon
Live Demonstration: A Neural Processor for AI Acceleration. ISCAS (2021)
Youngsu Kwon, Jeongmin Yang, Yong Cheol Peter Cho, Kyoung-Seon Shin, Jaehoon Chung, Jinho Han, Chun-Gi Lyuh, Hyun-Mi Kim, Chan Kim, Min-Seok Choi
Function-Safe Vehicular AI Processor with Nano Core-In-Memory Architecture. AICAS (2019)
Youngsu Kwon, Yong Cheol Peter Cho, Jeongmin Yang, Jaehoon Chung, Kyoung-Seon Shin, Jinho Han, Chan Kim, Chun-Gi Lyuh, Hyun-Mi Kim, In San Jeon, Min-Seok Choi
AI 32TFLOPS Autonomous Driving Processor on AI-Ware with Adaptive Power Saving. ISOCC (2019)
Chan Kim, In San Jeon, Young-Su Kwon, Hyun-Mi Kim, Chun-Gi Lyuh, Yong Cheol Peter Cho, Jeongmin Yang, Jaehoon Chung, Kyoung-Seon Shin, Jinho Han, Min-Seok Choi
Implementation of Yolo-v2 Image Recognition and Other Testbenches for a CNN Accelerator. ICCE-Berlin (2019)
Jinho Han, Youngsu Kwon, Yong Cheol Peter Cho, Hoi-Jun Yoo
A 1GHz fault tolerant processor with dynamic lockstep and self-recovering cache for ADAS SoC complying with ISO26262 in automotive electronics. A-SSCC (2017)
Chan Kim, Yong Cheol Peter Cho, Youngsu Kwon
A deep learning convolution architecture for simple embedded applications. ICCE-Berlin (2017)
Yong Cheol Peter Cho, Nandhini Chandramoorthy, Kevin M. Irick, Vijaykrishnan Narayanan
Accelerating Multiresolution Gabor Feature Extraction for Real Time Vision Applications. J. Signal Process. Syst. 76 (2) (2014)
Siddharth Advani, Nandhini Chandramoorthy, Karthik Swaminathan, Kevin M. Irick, Yong Cheol Peter Cho, Jack Sampson, Vijaykrishnan Narayanan
Refresh Enabled Video Analytics (REVA): Implications on power and performance of DRAM supported embedded visual systems. ICCD (2014)
Yong Cheol Peter Cho, Nandhini Chandramoorthy, Kevin M. Irick, Vijaykrishnan Narayanan
Multiresolution Gabor Feature Extraction for Real Time Applications. SiPS (2012)
Sungho Park, Yong Cheol Peter Cho, Kevin M. Irick, Vijaykrishnan Narayanan
A reconfigurable platform for the design and verification of domain-specific accelerators. ASP-DAC (2012)
Sungmin Bae, Yong Cheol Peter Cho, Sungho Park, Kevin M. Irick, Yongseok Jin, Vijaykrishnan Narayanan
An FPGA Implementation of Information Theoretic Visual-Saliency System and Its Optimization. FCCM (2011)
Yong Cheol Peter Cho, Sungmin Bae, Yongseok Jin, Kevin M. Irick, Vijaykrishnan Narayanan
Exploring Gabor Filter Implementations for Visual Cortex Modeling on FPGA. FPL (2011)