A 1.2V 38nm 2.4Gb/s/pin 2Gb DDR4 SDRAM with bank group and ×4 half-page architecture. - Kibong Koo; Sunghwa Ok; Yonggu Kang; Seungbong Kim; Choungki Song; Hyeyoung Lee; Hyungsoo Kim; Yongmi Kim; Jeonghun Lee; Seunghan Oak; Yosep Lee; Jungyu Lee 002; et al. (ISSCC, 2012)

ScalCore: Designing a core for voltage scalability. - Bhargava Gopireddy; Choungki Song; Josep Torrellas; Nam Sung Kim; Aditya Agrawal; Asit K. Mishra (HPCA, 2016)

Exploring new features of high-bandwidth memory for GPUs. - Bingchao Li; Choungki Song; Jizeng Wei; Jung Ho Ahn; Nam Sung Kim (IEICE Electron. Express, 2016)

In-DRAM near-data approximate acceleration for GPUs. - Amir Yazdanbakhsh; Choungki Song; Jacob Sacks; Pejman Lotfi-Kamran; Hadi Esmaeilzadeh; Nam Sung Kim (PACT, 2018)

LL-PCM: Low-Latency Phase Change Memory Architecture. - Nam Sung Kim; Choungki Song; Woo Young Cho; Jian Huang 006; Myoungsoo Jung (DAC, 2019)

Newton: A DRAM-maker's Accelerator-in-Memory (AiM) Architecture for Machine Learning. - Mingxuan He; Choungki Song; Ilkon Kim; Chunseok Jeong; Seho Kim; Il Park 001; Mithuna Thottethodi; T. N. Vijaykumar (MICRO, 2020)

A 1ynm 1.25V 8Gb, 16Gb/s/pin GDDR6-based Accelerator-in-Memory supporting 1TFLOPS MAC Operation and Various Activation Functions for Deep-Learning Applications. - Seong Ju Lee; Kyu-Young Kim; Sanghoon Oh; Joonhong Park; Gimoon Hong; Dong Yoon Ka; Kyu-Dong Hwang; Jeongje Park; Kyeong Pil Kang; Jungyeon Kim; Junyeol Jeon; Nahsung Kim; et al. (ISSCC, 2022)

A 1ynm 1.25V 8Gb 16Gb/s/Pin GDDR6-Based Accelerator-in-Memory Supporting 1TFLOPS MAC Operation and Various Activation Functions for Deep Learning Application. - Dae-Han Kwon; Seongju Lee; Kyuyoung Kim; Sanghoon Oh; Joonhong Park; Gimoon Hong; Dongyoon Ka; Kyu-Dong Hwang; Jeongje Park; Kyeong Pil Kang; Jungyeon Kim; Junyeol Jeon; et al. (IEEE J. Solid State Circuits, 2023)