An SRAM-Based Hybrid Computation-in-Memory Macro Using Current-Reused Differential CCO
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal on Emerging and Selected Topics in Circuits and Systems"
DOI: 10.1109/jetcas.2022.3170595
Abstract: This work presents a 4 kb 8T-SRAM computation-in-memory (CIM) macro based on hybrid computation using digital in-memory-array computing (DIMAC) and phase-domain near-memory-array computing (PNMAC). By employing multiple local dual-column arrays (LDCAs), bit-wise multiplications are computed… read more here.
Keywords: computation; computation memory; hybrid computation; inline formula ... See more keywords
A Twin-8T SRAM Computation-in-Memory Unit-Macro for Multibit CNN-Based AI Edge Processors
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Journal of Solid-State Circuits"
DOI: 10.1109/jssc.2019.2952773
Abstract: Computation-in-memory (CIM) is a promising candidate to improve the energy efficiency of multiply-and-accumulate (MAC) operations of artificial intelligence (AI) chips. This work presents an static random access memory (SRAM) CIM unit-macro using: 1) compact-rule compatible… read more here.
Keywords: computation memory; mac operations; unit; unit macro ... See more keywords
BR-CIM: An Efficient Binary Representation Computation-In-Memory Design
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2022.3185135
Abstract: Deep neural network (DNN) has recently attracted tremendous attention in various fields. But the computing operation requirement and the memory bottleneck limit the energy efficiency of hardware implementations. Binary quantization is proposed to relieve the… read more here.
Keywords: memory; binary representation; representation computation; computation memory ... See more keywords
Specific ADC of NVM-Based Computation-in-Memory for Deep Neural Networks
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2024.3430290
Abstract: Non-volatile memory (NVM)-based Computation-in-memory has demonstrated a significant advantage in high-efficiency neural networks. However, the requirement of analog-to-digital converter (ADC) and post-processing circuits not only cost high energy and area but also results in high… read more here.
Keywords: memory; computation memory; nvm based; based computation ... See more keywords
Skeleton-Based Synthesis Flow for Computation-in-Memory Architectures
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Emerging Topics in Computing"
DOI: 10.1109/tetc.2017.2760927
Abstract: Memristor-based Computation-in-Memory (CIM) is one of the emerging architectures for next-generation Big Data problems. Its design requires a radically new synthesis flow as the memristor is a passive device that uses resistances to encode its… read more here.
Keywords: computation memory; synthesis; synthesis flow;
A 9T SRAM Computation-in-Memory Architecture With High-Precision MAC, Enhanced Bitline Voltage Margin, and Improved Frequency Performance Over Conventional Architectures
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Very Large Scale Integration (VLSI) Systems"
DOI: 10.1109/tvlsi.2025.3613056
Abstract: To address the data-intensive demands of modern artificial intelligence (AI) systems, computation-in-memory (CIM) based on static random-access memory (SRAM) has emerged as a promising solution by integrating computing functionality within memory arrays. However, conventional SRAM… read more here.
Keywords: computation; architecture; memory; computation memory ... See more keywords