0% Complete
صفحه اصلی
/
هفتمین کنفرانس بین المللی میکروالکترونیک ایران
FPGA-Based CNN Accelerator with High Computing Resource Utilization
نویسندگان :
Raziyeh Foroumandi
1
Behbood Mashoufi
2
Amir Fathi
3
1- دانشگاه ارومیه
2- دانشگاه ارومیه
3- دانشگاه ارومیه
کلمات کلیدی :
Convolutional neural networks (CNNs)،FPGA-based accelerator،parallel computing
چکیده :
The rapid advancement of Convolutional Neural Networks (CNNs) has created a growing demand for hardware accelerators capable of performing CNN inference efficiently. FPGA-based CNN accelerators are particularly attractive due to their high performance, low power consumption, and inherent reconfigurability. This work presents an FPGA-based CNN accelerator employing a multi-computing engine architecture for convolution operations to enhance computational efficiency and achieve high throughput. The design exploits multiple levels of parallelism with optimized parallelism parameters, a data reordering unit to ensure continuous data delivery to the Processing Element (PE) array without idle cycles, and an optimized buffer structure to maximize computing resource utilization. The proposed accelerator was evaluated on the Xilinx XC7VX690T FPGA using VGG16 benchmark. Results show computing efficiency of 98.92%, outperforming existing FPGA-based CNN accelerators.
لیست مقالات
لیست مقالات بایگانی شده
A 7.5 GHz, 60 dB Regulated Cascode Transimpedance Amplifier in 180-nm CMOS Technology for Optoelectronic Applications
Sara Ghorbani - Saeed Olyaee - Mohammad Hossein Maghami
Ethanol Sensor Modeling Based on Carbon Nanotubes as Schottky Barrier Transistors
Alireza Abolhasani - Amir Fathi - Majid Ghasemi
Design of long signal path Ternary computational blocks using Dynamic and Pass Transistor Logic based on Carbon Nanotube Field Effect Transistors
Farzin Mahboob Sardroudi - Mehdi Habibi - Mohammad Hossein Moaiyeri
An Accurate 10-bit 1 kS/s Charge-Redistribution SAR ADC for Sensor Readout Applications
Farshad Gozalpour - Sepehr Zare Teimoori - Kamyab Karimi Sarableh - Rasoul Fathipour - Mohsen Tamaddon
Quantitative study of Temperature-Dependent BandGap Energy and Its Influence on Threshold Potential Characteristics of MOS Devices
Hanieh Khakvatan - Sarang Kazeminia
OptiCore: A Novel Approach for Designing a Low Power Multi-Core Processor
Abolfazl Rajaiyan - Yas Hosseini Tehrani - Seyed Mojtaba Atarodi
A differential ring VCO with a new structure for the pre-charger and pre-discharger method
Vahid Khodadadi Viaee - Mahdi Alijani - Adib Abrishamifar
تشخیص خرابی یاتاقان موتور خودرو با استفاده از حسگرهای میکروالکترونیکی و سیگنالپردازی شتابسنجی
امین آقائی بدلبو - ارمین نصرالله زاده - امیرحسین محمودی
A Low-Power Inductor-Less Linear Wideband CMOS Balun-LNA Using Current Reuse And Linearity Techniques
Soroush Hashemi Bani - Mohammad Yavari
An Integrated Wearable Bio-Impedance Spectroscopy System for Remote Monitoring Heart Failure in 65nm CMOS Technology
Arman Ghouchani - Mohammad Sharifkhani
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 43.9.1
