Image de couverture de livre

Core Placement Optimization of Many-core Brain-Inspired Near-Storage Systems for Spiking Neural Network Training

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhu, Xueke, Lin, Wenjie, Lin, Yanyu, Ma, Yunhao, Cheng, Wenxiang, Ma, Zhengyu, Tian, Yonghong, Zhou, Huihui
Format:	Preprint
Publié:	2024
Sujets:	Hardware Architecture Neural and Evolutionary Computing
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

E2ATST: A Temporal-Spatial Optimized Energy-Efficient Architecture for Training Spiking Transformer
par: Ma, Yunhao, et autres
Publié: (2025)

UniSpike: Accelerating Spiking Neural Networks on Neuromorphic Systems via Eliminating Address Redundancy
par: Xing, Qinghui, et autres
Publié: (2026)

SNAP-V: A RISC-V SoC with Configurable Neuromorphic Acceleration for Small-Scale Spiking Neural Networks
par: Gunawardana, Kanishka, et autres
Publié: (2026)

Fast Algorithms for Spiking Neural Network Simulation with FPGAs
par: Lindqvist, Björn A., et autres
Publié: (2024)

Hybrid Synaptic Structure for Spiking Neural Network Realization
par: Razmkhah, Sasan, et autres
Publié: (2023)

Spiking Transformer Hardware Accelerators in 3D Integration
par: Xu, Boxun, et autres
Publié: (2024)

Automated Placement of Analog Integrated Circuits using Priority-based Constructive Heuristic
par: Grus, Josef, et autres
Publié: (2024)

Hardware-Aware Model Design and Training of Silicon-based Analog Neural Networks
par: Filippeschi, Giulio, et autres
Publié: (2025)

Hardware-Friendly Implementation of Physical Reservoir Computing with CMOS-based Time-domain Analog Spiking Neurons
par: Kimura, Nanako, et autres
Publié: (2024)

A 0.5-V Linear Neuromorphic Voltage-to-Spike Encoder Using a Bulk-Driven Transconductor
par: Akbari, Meysam, et autres
Publié: (2026)

Energy-Oriented Computing Architecture Simulator for SNN Training
par: Ma, Yunhao, et autres
Publié: (2025)

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks
par: Xu, Boxun, et autres
Publié: (2025)

IzhiRISC-V -- a RISC-V-based Processor with Custom ISA Extension for Spiking Neuron Networks Processing with Izhikevich Neurons
par: Szczerek, Wiktor J., et autres
Publié: (2025)

Darwin3: A large-scale neuromorphic chip with a Novel ISA and On-Chip Learning
par: Ma, De, et autres
Publié: (2023)

An Efficient Multicast Addressing Encoding Scheme for Multi-Core Neuromorphic Processors
par: Su, Zhe, et autres
Publié: (2024)

Energy-Aware FPGA Implementation of Spiking Neural Network with LIF Neurons
par: Ali, Asmer Hamid, et autres
Publié: (2024)

LoAS: Fully Temporal-Parallel Dataflow for Dual-Sparse Spiking Neural Networks
par: Yin, Ruokai, et autres
Publié: (2024)

SRAM-Based Compute-in-Memory Accelerator for Linear-decay Spiking Neural Networks
par: Shang, Hongyang, et autres
Publié: (2026)

Full Feature Spiking Neural Network Simulation on Micro-Controllers for Neuromorphic Applications at the Edge
par: Niedermeier, L., et autres
Publié: (2026)

FeNN: A RISC-V vector processor for Spiking Neural Network acceleration
par: Aizaz, Zainab, et autres
Publié: (2025)

Reducing ADC Front-end Costs During Training of On-sensor Printed Multilayer Perceptrons
par: Afentaki, Florentia, et autres
Publié: (2024)

EasyACIM: An End-to-End Automated Analog CIM with Synthesizable Architecture and Agile Design Space Exploration
par: Zhang, Haoyi, et autres
Publié: (2024)

HENNC: Hardware Engine for Artificial Neural Network-based Chaotic Oscillators
par: Vaziri, Mobin, et autres
Publié: (2024)

Spiker+: a framework for the generation of efficient Spiking Neural Networks FPGA accelerators for inference at the edge
par: Carpegna, Alessio, et autres
Publié: (2024)

Functional Stability of Software-Hardware Neural Network Implementation The NeuroComp Project
par: Oleksii, Bychkov, et autres
Publié: (2025)

A Deep Neural Network Deployment Based on Resistive Memory Accelerator Simulation
par: Maram, Tejaswanth Reddy, et autres
Publié: (2023)

ReLANCE: A Resource-Efficient Low-Latency Cortical Neural Acceleration Engine
par: Kumar, Sonu, et autres
Publié: (2025)

Wet TinyML: Chemical Neural Network Using Gene Regulation and Cell Plasticity
par: Somathilaka, Samitha, et autres
Publié: (2024)

A Reconfigurable Stream-Based FPGA Accelerator for Bayesian Confidence Propagation Neural Networks
par: Hafiz, Muhammad Ihsan Al, et autres
Publié: (2025)

Catwalk: Unary Top-K for Efficient Ramp-No-Leak Neuron Design for Temporal Neural Networks
par: Lister, Devon, et autres
Publié: (2025)

Efficient Implementation of a Multi-Layer Gradient-Free Online-Trainable Spiking Neural Network on FPGA
par: Mehrabi, Ali, et autres
Publié: (2023)

SpiDR: A Reconfigurable Digital Compute-in-Memory Spiking Neural Network Accelerator for Event-based Perception
par: Sharma, Deepika, et autres
Publié: (2024)

A Self-Ensemble Inspired Approach for Effective Training of Binary-Weight Spiking Neural Networks
par: Meng, Qingyan, et autres
Publié: (2025)

First Demonstration of Second-order Training of Deep Neural Networks with In-memory Analog Matrix Computing
par: Zhang, Saitao, et autres
Publié: (2025)

What Is Next for LLMs? Next-Generation AI Computing Hardware Using Photonic Chips
par: Li, Renjie, et autres
Publié: (2025)

When Spike Sparsity Does Not Translate to Deployed Cost: VS-WNO on Jetson Orin Nano
par: Yoo, Jason, et autres
Publié: (2026)

Towards 3D Acceleration for low-power Mixture-of-Experts and Multi-Head Attention Spiking Transformers
par: Xu, Boxun, et autres
Publié: (2024)

NeuroFlex: Column-Exact ANN-SNN Co-Execution Accelerator with Cost-Guided Scheduling
par: Manjunath, Varun, et autres
Publié: (2025)

Memory Wall is not gone: A Critical Outlook on Memory Architecture in Digital Neuromorphic Computing
par: Yousefzadeh, Amirreza, et autres
Publié: (2026)

SAGA: Synthesis Augmentation with Genetic Algorithms for In-Memory Sequence Optimization
par: Robins, Andey, et autres
Publié: (2024)