ASiM: Improving Transparency of SRAM-based Analog Compute-in-Memory Research with an Open-Source Simulation Framework
SRAM-based Analog Compute-in-Memory (ACiM) demonstrates promising energy efficiency
for deep neural network (DNN) processing. Although recent aggressive design strategies …
for deep neural network (DNN) processing. Although recent aggressive design strategies …
X-PIM: Fast Modeling and Validation Framework for Mixed-Signal Processing-in-Memory Using Compressed Equivalent Model in System Verilog
I Jeong, JE Park - 2024 Design, Automation & Test in Europe …, 2024 - ieeexplore.ieee.org
Mixed-signal processing-in-memory (PIM) has gained prominence as a promising approach
for implementing deep neural networks in energy-constrained systems. However, the co …
for implementing deep neural networks in energy-constrained systems. However, the co …
다중CIM 클러스터가속기아키텍처의System 성능측정을위한Full System 시뮬레이터제안
안성진， 정의영 - 대한전자공학회학술대회, 2024 - dbpia.co.kr
Memory bottleneck issues in conventional computer architectures are being addressed by
the burgeoning field of Analog Compute in Memory (CIM) technology, which has spurred the …
the burgeoning field of Analog Compute in Memory (CIM) technology, which has spurred the …