Compute-in-memory (CIM) accelerators based on emerging memory devices are of potential use in edge artificial intelligence and machine learning applications due to their power and performance capabilities. However, the privacy and security of CIM accelerators needs to be ensured before their widespread...
图4. (a)混合位宽量化模型在ResNet50和VGG16上的实现; (b) 面向细粒度数字存算优化的权重驻留数据流 Paper《Addition is Most You Need: Efficient Floating-Point SRAM Compute-in-Memory by Harnessing Mantissa Addition》存内计算在高效加速机器学习任务方面具有巨大潜力。在众多存储器件中,SRAM因其在数字领域的...
Realizing increasingly complex artificial intelligence (AI) functionalities directly on edge devices calls for unprecedented energy efficiency of edge hardware. Compute-in-memory (CIM) based on resistive random-access memory (RRAM)1promises to meet such demand by storing AI model weights in dense, anal...
Compute-in-memory (CIM) accelerators based on emerging memory devices are of potential use in edge artificial intelligence and machine learning applications due to their power and performance capabilities. However, the privacy and security of CIM accelerators needs to be ensured before their widespread ...
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In the era of big data and artificial intelligence, hardware advancement in throughput and energy efficiency is essential for both cloud and edge computations. Because of the merged data storage and computing units, compute-in-memory is becoming one of t
In computer programming, macros are essentially rules, patterns or instructions that outline how input data should be mapped onto a given output. Their macro specifically applies to an on-chip non-volatile compute-in-memory (nvCIM) system, an architecture that combines a processor and a memory ...
A 22nm 832Kb hybrid-domain floating-point SRAM in-memory-compute macro with 16.2-70.2TFLOPS/W for high-accuracy AI-edge devices. In Proc. 2023 IEEE International Solid-State Circuits Conference (ISSCC) 126–128 (IEEE, 2023). Guo, A. et al. A 28-nm 64-kb 31.6-TFLOPS/W digital-domain...
A Multi-Bit Non-Volatile Compute-in-Memory Architecture with Quantum-Dot Transistor Based Unit The recent advance of artificial intelligence (AI) has shown remarkable success for numerous tasks, such as cloud computing, deep-learning, neural network ... Y Zhao,F Qian,F Jain,... - 《Internatio...
A compute-in-memory dynamic random access memory bitcell is provided that includes a first transistor having an on/off state controlled by a weight bit stored across a capacitor. Th