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A 1-16b reconfigurable 80Kb 7T SRAM-based digital near-memory computing macro for processing neural networks
This work introduces a digital SRAM-based near-memory compute macro for DNN
inference, improving on-chip weight memory capacity and area efficiency compared to state …
inference, improving on-chip weight memory capacity and area efficiency compared to state …
Capacitance and Conductance Compensation Methods for Efficient Computing‐In‐Memory Designs
Compensation has been a common while unacknowledged strategy in the design of
computing‐in‐memory (CIM) schemes. It enables efficient CIM designs by intentionally …
computing‐in‐memory (CIM) schemes. It enables efficient CIM designs by intentionally …
A ternary neural network computing-in-memory processor with 16T1C bitcell architecture
A highly energy-efficient Computing-in-Memory (CIM) processor for Ternary Neural Network
(TNN) acceleration is proposed in this brief. Previous CIM processors for multi-bit precision …
(TNN) acceleration is proposed in this brief. Previous CIM processors for multi-bit precision …
A charge-domain compute-in-memory macro with cell-embedded da conversion and two-stage ad conversion for bit-scalable mac operation
A charge-domain compute-in-memory (CIM) macro is proposed to implement bit-scalable
multiply-and-accumulate (MAC) operation with the cell-embedded digital-to-analog (DA) …
multiply-and-accumulate (MAC) operation with the cell-embedded digital-to-analog (DA) …
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 Fully Differential 4-Bit Analog Compute-In-Memory Architecture for Inference Application
A robust, fully differential multiplication and accumulate (MAC) scheme for analog compute-
in-memory (CIM) architecture is proposed in this article. The proposed method achieves a …
in-memory (CIM) architecture is proposed in this article. The proposed method achieves a …
In-memory computing with 6T SRAM for multi-operator logic design
This article presents a reconfigurable in-/near-memory advanced computing (InMAC)
architecture based on 6T SRAM, with a storage capacity of 1 KB (128× 64). The proposed …
architecture based on 6T SRAM, with a storage capacity of 1 KB (128× 64). The proposed …
A Neuromorphic Spiking Neural Network Using Time-to-First-Spike Coding Scheme and Analog Computing in Low-Leakage 8T SRAM
This article demonstrates the first functional neuromorphic spiking neural network (SNN) that
processes the time-to-first-spike (TTFS) encoded analog spiking signals with the second …
processes the time-to-first-spike (TTFS) encoded analog spiking signals with the second …
Construction Technique and Evaluation of High Performance -bit Burst Error Correcting Codes for Protecting MCUs
The occurrences of Multiple Cell Upset (MCU) are more liable to arise in modern memory
systems with the continuous upgradation of microelectronics technology from micron to deep …
systems with the continuous upgradation of microelectronics technology from micron to deep …
8T-SRAM Based Process-In-Memory (PIM) System With Current Mirror for Accurate MAC Operation
Process-in-memory (PIM) is an emerging computing paradigm to overcome the energy
bottleneck inherent in conventional computing platform. While PIM utilizes several types of …
bottleneck inherent in conventional computing platform. While PIM utilizes several types of …