Tootfinder

HPIM: Heterogeneous Processing-In-Memory-based Accelerator for Large Language Models Inference
Cenlin Duan, Jianlei Yang, Rubing Yang, Yikun Wang, Yiou Wang, Lingkun Long, Yingjie Qi, Xiaolin He, Ao Zhou, Xueyan Wang, Weisheng Zhao
https://arxiv.org/abs/2509.12993

HPIM: Heterogeneous Processing-In-Memory-based Accelerator for Large Language Models Inference
The deployment of large language models (LLMs) presents significant challenges due to their enormous memory footprints, low arithmetic intensity, and stringent latency requirements, particularly during the autoregressive decoding stage. Traditional compute-centric accelerators, such as GPUs, suffer from severe resource underutilization and memory bandwidth bottlenecks in these memory-bound workloads. To overcome these fundamental limitations, we propose HPIM, the first memory-centric heterogene…

🇺🇦 #NowPlaying on #BBC6Music's #AmbientFocus
Alva Noto:
🎵 Xerrox Phaser Acat
#AlvaNoto
https://open.spotify.com/track/4tdLT4KhpI4LZbPPwHh36A