Asynchronous event handling in the real-time specification for Java. - MinSeong Kim 002; Andy J. Wellings (JTRES, 2007)

An efficient and predictable implementation of asynchronous event handling in the RTSJ. - MinSeong Kim 002; Andy J. Wellings (JTRES, 2008)

Refactoring Asynchronous Event Handling in the Real-Time Specification for Java. - MinSeong Kim 002; Andy J. Wellings (ECRTS, 2009)

Using the executor framework to implement asynchronous event handling in the RTSJ. - MinSeong Kim 002; Andy J. Wellings (JTRES, 2010)

Efficient asynchronous event handling in the real-time specification for Java. - MinSeong Kim 002; Andy J. Wellings (ACM Trans. Embed. Comput. Syst., 2010)

Multiprocessors and Asynchronous Event Handling in the Real-Time Specification for Java. - MinSeong Kim 002; Andy J. Wellings (Comput. J., 2011)

Applying fixed-priority preemptive scheduling with preemption threshold to asynchronous event handling in the RTSJ. - MinSeong Kim 002; Andy J. Wellings (Concurr. Comput. Pract. Exp., 2011)

Asynchronous event handling and Safety Critical Java. - Andy J. Wellings; MinSeong Kim 002 (Concurr. Comput. Pract. Exp., 2012)

Samsung Neural Processing Unit : An AI accelerator and SDK for flagship mobile AP. - Jun-Seok Park; Heonsoo Lee; Dongwoo Lee; Jewoo Moon; Suknam Kwon; Sanghyuck Ha; MinSeong Kim 002; Junghun Park; Jihoon Bang; Sukhwan Lim; Inyup Kang (HCS, 2021)

A Multi-Mode 8K-MAC HW-Utilization-Aware Neural Processing Unit with a Unified Multi-Precision Datapath in 4nm Flagship Mobile SoC. - Jun-Seok Park; Changsoo Park; Suknam Kwon; Hyeong-Seok Kim; Taeho Jeon; Yesung Kang; Heonsoo Lee; Dongwoo Lee; James Kim; YoungJong Lee; Sangkyu Park; Jun-Woo Jang; et al. (ISSCC, 2022)

A Multi-Mode 8k-MAC HW-Utilization-Aware Neural Processing Unit With a Unified Multi-Precision Datapath in 4-nm Flagship Mobile SoC. - Jun-Seok Park; Changsoo Park; Suknam Kwon; Taeho Jeon; Yesung Kang; Heonsoo Lee; Dongwoo Lee; James Kim; Hyeong-Seok Kim; YoungJong Lee; Sangkyu Park; MinSeong Kim 002; et al. (IEEE J. Solid State Circuits, 2023)