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- research-articleDecember 2024
A Cascaded ReRAM-based Crossbar Architecture for Transformer Neural Network Acceleration
ACM Transactions on Design Automation of Electronic Systems (TODAES), Volume 30, Issue 1Article No.: 10, Pages 1–23https://doi.org/10.1145/3701034Emerging resistive random-access memory (ReRAM) based processing-in-memory (PIM) accelerators have been increasingly explored in recent years because they can efficiently perform in-situ matrix-vector multiplication (MVM) operations involved in a wide ...
- research-articleSeptember 2024
ReHarvest: An ADC Resource-Harvesting Crossbar Architecture for ReRAM-Based DNN Accelerators
- Jiahong Xu,
- Haikun Liu,
- Zhuohui Duan,
- Xiaofei Liao,
- Hai Jin,
- Xiaokang Yang,
- Huize Li,
- Cong Liu,
- Fubing Mao,
- Yu Zhang
ACM Transactions on Architecture and Code Optimization (TACO), Volume 21, Issue 3Article No.: 63, Pages 1–26https://doi.org/10.1145/3659208ReRAM-based Processing-In-Memory (PIM) architectures have been increasingly explored to accelerate various Deep Neural Network (DNN) applications because they can achieve extremely high performance and energy-efficiency for in-situ analog Matrix-Vector ...
- research-articleOctober 2023
A Compilation Tool for Computation Offloading in ReRAM-based CIM Architectures
ACM Transactions on Architecture and Code Optimization (TACO), Volume 20, Issue 4Article No.: 47, Pages 1–25https://doi.org/10.1145/3617686Computing-in-Memory (CIM) architectures using Non-volatile Memories (NVMs) have emerged as a promising way to address the “memory wall” problem in traditional Von Neumann architectures. CIM accelerators can perform arithmetic or Boolean logic operations ...
