3 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.AR2024★ 3 cited
CAMASim: A Comprehensive Simulation Framework for Content-Addressable Memory based Accelerators
Mengyuan Li, Shiyi Liu, Mohammad Mehdi Sharifi +1
Content addressable memory (CAM) stands out as an efficient hardware solution for memory-intensive search operations by supporting parallel computation in memory. However, developi…
cs.AR2023★ 1 cited
C4CAM: A Compiler for CAM-based In-memory Accelerators
Hamid Farzaneh, João Paulo Cardoso de Lima, Mengyuan Li +3
Machine learning and data analytics applications increasingly suffer from the high latency and energy consumption of conventional von Neumann architectures. Recently, several in-me…