56 citations · 58 across the 5 of their papers we have counts for
3 papers · 1 filter
PIMphony: Overcoming Bandwidth and Capacity Inefficiency in PIM-based Long-Context LLM Inference System
Hyucksung Kwon, Kyungmo Koo, Janghyeon Kim +19
The expansion of long-context Large Language Models (LLMs) creates significant memory system challenges. While Processing-in-Memory (PIM) is a promising accelerator, we identify th…
IANUS: Integrated Accelerator based on NPU-PIM Unified Memory System
Minseok Seo, Xuan Truong Nguyen, Seok Joong Hwang +18
Accelerating end-to-end inference of transformer-based large language models (LLMs) is a critical component of AI services in datacenters. However, diverse compute characteristics…
Near Data Acceleration with Concurrent Host Access
Benjamin Y. Cho, Yongkee Kwon, Sangkug Lym +1
Near-data accelerators (NDAs) that are integrated with main memory have the potential for significant power and performance benefits. Fully realizing these benefits requires the la…