J. Kim, Shinhaeng Kang, Sukhan Lee, Hyeonsu Kim, Woongjae Song, Yuhwan Ro, Seungwon Lee, David Wang, Hyunsung Shin, BengSeng Phuah, Jihyun Choi, J. So, Yeon-Gon Cho, Joonho Song, J. Choi, Jeonghyeon Cho, Kyomin Sohn, Y. Sohn, Kwang-il Park, N. Kim
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Aquabolt-XL: Samsung HBM2-PIM with in-memory processing for ML accelerators and beyond
Using PIM to overcome memory bottleneck • Although various bandwidth increase methods have been proposed, it is physically impossible to achieve a breakthrough increase. - Limited by # of PCB wires, # of CPU ball, and thermal constraints • PIM has been proposed to improve performance of bandwidth-intensive workloads and improve energy efficiency by reducing computing-memory data movement.
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