10 citations · 13 across the 6 of their papers we have counts for
6 papers
CLASS: A Controller-Centric Layout Synthesizer for Dynamic Quantum Circuits
Yu Chen, Yilun Zhao, Bing Li +4
Layout Synthesis for Quantum Computing (LSQC) is a critical component of quantum design tools. Traditional LSQC studies primarily focus on optimizing for reduced circuit depth by a…
Be CIM or Be Memory: A Dual-mode-aware DNN Compiler for CIM Accelerators
Shixin Zhao, Yuming Li, Bing Li +4
Computing-in-memory (CIM) architectures demonstrate superior performance over traditional architectures. To unleash the potential of CIM accelerators, many compilation methods have…
Make LLM Inference Affordable to Everyone: Augmenting GPU Memory with NDP-DIMM
Lian Liu, Shixin Zhao, Bing Li +6
The billion-scale Large Language Models (LLMs) need deployment on expensive server-grade GPUs with large-storage HBMs and abundant computation capability. As LLM-assisted services…
SuperEncoder: Towards Universal Neural Approximate Quantum State Preparation
Yilun Zhao, Bingmeng Wang, Wenle Jiang +4
Numerous quantum algorithms operate under the assumption that classical data has already been converted into quantum states, a process termed Quantum State Preparation (QSP). Howev…
CIM-MLC: A Multi-level Compilation Stack for Computing-In-Memory Accelerators
Songyun Qu, Shixin Zhao, Bing Li +4
In recent years, various computing-in-memory (CIM) processors have been presented, showing superior performance over traditional architectures. To unleash the potential of various…
Variation Enhanced Attacks Against RRAM-based Neuromorphic Computing System
Hao Lv, Bing Li, Lei Zhang +2
The RRAM-based neuromorphic computing system has amassed explosive interests for its superior data processing capability and energy efficiency than traditional architectures, and t…