Trends and Challenges in Computing-in-memory for Neural Network Model: A Review from Device Design to Application-side Optimization
Neural network models have been widely used in various fields as the main way to solve
problems in the current artificial intelligence (AI) field. Efficient execution of neural network …
problems in the current artificial intelligence (AI) field. Efficient execution of neural network …
CP-SRAM: charge-pulsation SRAM marco for ultra-high energy-efficiency computing-in-memory
SRAM-based computing-in-memory (SRAM-CIM) provides fast speed and good scalability
with advanced process technology. However, the energy efficiency of the state-of-the-art …
with advanced process technology. However, the energy efficiency of the state-of-the-art …
SpinCIM: Spin orbit torque memory for ternary neural networks based on the computing-in-memory architecture
Although significant breakthrough has been made in deep neural networks (DNNs), which
show impressive potential as a general solution to the field of artificial intelligence (AI), DNN …
show impressive potential as a general solution to the field of artificial intelligence (AI), DNN …
A Novel 9T1C-SRAM Compute-In-Memory Macro With Count-Less Pulse-Width Modulation Input and ADC-Less Charge-Integration-Count Output
This paper presents a novel compute-in-memory (CIM) macro, which mainly consists of
three modules: input generator, 9T1C-SRAM CIM array and charge-integration-count output …
three modules: input generator, 9T1C-SRAM CIM array and charge-integration-count output …
A PWM-DAC for Analog In-Memory Computing in Mixed-Signal Accelerators
This paper proposes the design of a Pulse Width Modulation Digital to Analog Converter
(PWM-DAC) for Analog in-Memory Computing. The converter generates voltage pulses, with …
(PWM-DAC) for Analog in-Memory Computing. The converter generates voltage pulses, with …
RS-CIM: A Charge Domain Compute-in-Memory Architecture with Resolution Shifting ADC for Intelligent Perception Edge Nodes
J Liu, E Ren, G Zhu, L Luo, B Liu, Q Wei… - 2023 8th …, 2023 - ieeexplore.ieee.org
For the intelligent perception nodes at the edge, analog Compute-in-Memory (CIM) is
promising for its speed and power benefits, whereas Analog-to-Digital Converters (ADCs) …
promising for its speed and power benefits, whereas Analog-to-Digital Converters (ADCs) …