RoPIM: A Processing-in-Memory Architecture for Accelerating Rotary Positional Embedding in Transformer Models

YunHyeong Jeon, Minwoo Jang, Hwanjun Lee, Yeji Jung, Jin Jung, Jonggeon Lee, Jinin So, and Daehoon Kim*. IEEE Computer Architecture Letters (CAL), 2025

Abstract

Keywords

Processing-in-memory, AI HW accelerators, Rotary Positional Embedding, Transformer Models.

Related Research Topics

Next-Generation Memory Systems & Architecture