Cover Image

AnalogNAS-Bench: A NAS Benchmark for Analog In-Memory Computing

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bessalah, Aniss, Abdelmoumen, Hatem Mohamed, Benatchba, Karima, Benmeziane, Hadjer
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Hardware Architecture
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Kernel Approximation using Analog In-Memory Computing
by: Büchel, Julian, et al.
Published: (2024)

AnalogSAGE: Self-evolving Analog Design Multi-Agents with Stratified Memory and Grounded Experience
by: Wang, Zining, et al.
Published: (2025)

Context-Aware Mixture-of-Experts Inference on CXL-Enabled GPU-NDP Systems
by: Fan, Zehao, et al.
Published: (2025)

AnalogGenie: A Generative Engine for Automatic Discovery of Analog Circuit Topologies
by: Gao, Jian, et al.
Published: (2025)

RACE-IT: A Reconfigurable Analog Computing Engine for In-Memory Transformer Acceleration
by: Zhao, Lei, et al.
Published: (2023)

A Precision-Optimized Fixed-Point Near-Memory Digital Processing Unit for Analog In-Memory Computing
by: Ferro, Elena, et al.
Published: (2024)

An Analog and Digital Hybrid Attention Accelerator for Transformers with Charge-based In-memory Computing
by: Moradifirouzabadi, Ashkan, et al.
Published: (2024)

Hardware-Software Co-Design of Scalable, Energy-Efficient Analog Recurrent Computations
by: Fyon, Arthur, et al.
Published: (2026)

Analog Bayesian neural networks are insensitive to the shape of the weight distribution
by: Patel, Ravi G., et al.
Published: (2025)

Graph Neural Networks Based Analog Circuit Link Prediction
by: Pan, Guanyuan, et al.
Published: (2025)

ARTEMIS: A Mixed Analog-Stochastic In-DRAM Accelerator for Transformer Neural Networks
by: Afifi, Salma, et al.
Published: (2024)

Towards Exact Gradient-based Training on Analog In-memory Computing
by: Wu, Zhaoxian, et al.
Published: (2024)

LLM-based AI Agent for Sizing of Analog and Mixed Signal Circuit
by: Liu, Chang, et al.
Published: (2025)

GENIE-ASI: Generative Instruction and Executable Code for Analog Subcircuit Identification
by: Pham, Phuoc, et al.
Published: (2025)

Supervised Learning for Analog and RF Circuit Design: Benchmarks and Comparative Insights
by: Mehradfar, Asal, et al.
Published: (2025)

A 65nm 8b-Activation 8b-Weight SRAM-Based Charge-Domain Computing-in-Memory Macro Using A Fully-Parallel Analog Adder Network and A Single-ADC Interface
by: Yin, Guodong, et al.
Published: (2022)

EEsizer: LLM-Based AI Agent for Sizing of Analog and Mixed Signal Circuit
by: Liu, Chang, et al.
Published: (2025)

ZeroSim: Zero-Shot Analog Circuit Evaluation with Unified Transformer Embeddings
by: Yang, Xiaomeng, et al.
Published: (2025)

Compute SNR-Optimal Analog-to-Digital Converters for Analog In-Memory Computing
by: Kavishwar, Mihir, et al.
Published: (2025)

AICircuit: A Multi-Level Dataset and Benchmark for AI-Driven Analog Integrated Circuit Design
by: Mehradfar, Asal, et al.
Published: (2024)

Investigating Energy Bounds of Analog Compute-in-Memory with Local Normalization
by: Rojkov, Brian, et al.
Published: (2026)

LIMCA: LLM for Automating Analog In-Memory Computing Architecture Design Exploration
by: Vungarala, Deepak, et al.
Published: (2025)

KirchhoffNet: A Scalable Ultra Fast Analog Neural Network
by: Gao, Zhengqi, et al.
Published: (2023)

On the Convergence Theory of Pipeline Gradient-based Analog In-memory Training
by: Wu, Zhaoxian, et al.
Published: (2024)

Modeling Analog-Digital-Converter Energy and Area for Compute-In-Memory Accelerator Design
by: Andrulis, Tanner, et al.
Published: (2024)

LLM-Enhanced Bayesian Optimization for Efficient Analog Layout Constraint Generation
by: Chen, Guojin, et al.
Published: (2024)

Resource-Efficient and Robust Inference of Deep and Bayesian Neural Networks on Embedded and Analog Computing Platforms
by: Klein, Bernhard
Published: (2025)

RealBench: Benchmarking Verilog Generation Models with Real-World IP Designs
by: Jin, Pengwei, et al.
Published: (2025)

NAS-Cap: Deep-Learning Driven 3-D Capacitance Extraction with Neural Architecture Search and Data Augmentation
by: Li, Haoyuan, et al.
Published: (2024)

A Realistic Simulation Framework for Analog/Digital Neuromorphic Architectures
by: Quintana, Fernando M., et al.
Published: (2024)

Extending Straight-Through Estimation for Robust Neural Networks on Analog CIM Hardware
by: Feng, Yuannuo, et al.
Published: (2025)

LaMAGIC: Language-Model-based Topology Generation for Analog Integrated Circuits
by: Chang, Chen-Chia, et al.
Published: (2024)

RTL-Repo: A Benchmark for Evaluating LLMs on Large-Scale RTL Design Projects
by: Allam, Ahmed, et al.
Published: (2024)

Analog In-memory Training on General Non-ideal Resistive Elements: The Impact of Response Functions
by: Wu, Zhaoxian, et al.
Published: (2025)

HPD: Hybrid Projection Decomposition for Robust State Space Models on Analog CIM Hardware
by: Feng, Yuannuo, et al.
Published: (2025)

Dynamic Symmetric Point Tracking: Tackling Non-ideal Reference in Analog In-memory Training
by: Xiao, Quan, et al.
Published: (2026)

Demonstrating Analog Inference on the BrainScaleS-2 Mobile System
by: Stradmann, Yannik, et al.
Published: (2021)

Memory Is All You Need: An Overview of Compute-in-Memory Architectures for Accelerating Large Language Model Inference
by: Wolters, Christopher, et al.
Published: (2024)

LaMAGIC2: Advanced Circuit Formulations for Language Model-Based Analog Topology Generation
by: Chang, Chen-Chia, et al.
Published: (2025)

In-memory Training on Analog Devices with Limited Conductance States via Multi-tile Residual Learning
by: Li, Jindan, et al.
Published: (2025)