Reconfigurable Compute-In-Memory on Field-Programmable Ferroelectric Diodes.
Sign Up to like & getrecommendations! Published in 2022 at "Nano letters"
DOI: 10.1021/acs.nanolett.2c03169
Abstract: The deluge of sensors and data generating devices has driven a paradigm shift in modern computing from arithmetic-logic centric to data-centric processing. Data-centric processing require innovations at the device level to enable novel compute-in-memory (CIM)… read more here.
Keywords: ferroelectric diodes; compute memory; cim; reconfigurable compute ... See more keywords
A Compute-in-Memory Hardware Accelerator Design With Back-End-of-Line (BEOL) Transistor Based Reconfigurable Interconnect
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal on Emerging and Selected Topics in Circuits and Systems"
DOI: 10.1109/jetcas.2022.3177577
Abstract: Compute-in-memory (CIM) paradigm using ferroelectric field effect transistor (FeFET) as the weight element is projected to exhibit excellent energy efficiency for accelerating deep neural network (DNN) inference. However, two challenges exist. On the technology level,… read more here.
Keywords: design; compute memory; back end; end line ... See more keywords
A 7-nm Compute-in-Memory SRAM Macro Supporting Multi-Bit Input, Weight and Output and Achieving 351 TOPS/W and 372.4 GOPS
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal of Solid-State Circuits"
DOI: 10.1109/jssc.2020.3031290
Abstract: In this work, we present a compute-in-memory (CIM) macro built around a standard two-port compiler macro using foundry 8T bit-cell in 7-nm FinFET technology. The proposed design supports 1024 4 b $\times $ 4 b… read more here.
Keywords: 351 tops; 372 gops; compute memory; macro ... See more keywords
A Practical Design-Space Analysis of Compute-in-Memory With SRAM
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2021.3138057
Abstract: Analog-domain compute-in-memory (CIM) is a technique that has emerged in part as a response to the memory-intensive vector-matrix-multiplications (VMMs) required to implement important emerging applications, notably machine learning inference. Implemented CIM systems have demonstrated good… read more here.
Keywords: memory sram; practical design; design space; compute memory ... See more keywords
ENNA: An Efficient Neural Network Accelerator Design Based on ADC-Free Compute-In-Memory Subarrays
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2022.3208755
Abstract: Compute-in-memory (CIM) is an attractive solution for machine learning hardware acceleration since it merges computation directly into memory arrays, performing parallel multiply-and-accumulate (MAC) operations. The primary challenge in the reported CIM designs is the analog-to-digital… read more here.
Keywords: design; compute memory; based adc; array ... See more keywords
A 2941-TOPS/W Charge-Domain 10T SRAM Compute-in-Memory for Ternary Neural Network
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2023.3241385
Abstract: In this paper, we present a 10T SRAM compute-in memory (CiM) macro to process the multiplication-accumulation (MAC) operations between ternary-inputs and binary-weights. In the proposed 10T SRAM bitcell, the charge-domain analog computations are employed to… read more here.
Keywords: neural network; 2941 tops; charge domain; 10t sram ... See more keywords
Ultralow-Power Localization of Insect-Scale Drones: Interplay of Probabilistic Filtering and Compute-in-Memory
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Very Large Scale Integration (VLSI) Systems"
DOI: 10.1109/tvlsi.2021.3100252
Abstract: We propose a novel compute-in-memory (CIM)-based ultralow-power framework for probabilistic localization of insect-scale drones. Localization is a critical subroutine for path planning and rotor control in drones, where a drone is required to continuously estimate… read more here.
Keywords: insect scale; localization; localization insect; power ... See more keywords
CMOS-compatible compute-in-memory accelerators based on integrated ferroelectric synaptic arrays for convolution neural networks
Sign Up to like & getrecommendations! Published in 2022 at "Science Advances"
DOI: 10.1126/sciadv.abm8537
Abstract: Convolutional neural networks (CNNs) have gained much attention because they can provide superior complex image recognition through convolution operations. Convolution processes require repeated multiplication and accumulation operations, which are difficult tasks for conventional computing systems.… read more here.
Keywords: neural networks; integrated ferroelectric; compute memory; memory ... See more keywords
Compute-in-Memory for Numerical Computations
Sign Up to like & getrecommendations! Published in 2022 at "Micromachines"
DOI: 10.3390/mi13050731
Abstract: In recent years, compute-in-memory (CIM) has been extensively studied to improve the energy efficiency of computing by reducing data movement. At present, CIM is frequently used in data-intensive computing. Data-intensive computing applications, such as all… read more here.
Keywords: memory numerical; cim numerical; partial differential; numerical computations ... See more keywords