0% Complete
English
صفحه اصلی
/
شانزدهمین کنفرانس بین المللی فناوری اطلاعات و دانش
Low-Power Phase-Based Stochastic MAC for FPGA
نویسندگان :
Kooroush Manochehri
1
Amir arsalan Sakhtianchi
2
Mehrshad Khosraviani
3
1- دانشگاه امیرکبیر
2- دانشگاه امیرکبیر
3- دانشگاه امیرکبیر
کلمات کلیدی :
stochastic computing،multiply–accumulate (MAC)،Phase Generator،FPGA Implementation،Low-Power Design
چکیده :
This paper presents a low-power stochastic multiply–accumulate (MAC) engine optimized for FPGA deployment. The design introduces a deterministic phase generator that replaces conventional random number generators with decorrelated unary bitstreams, achieving statistical independence with minimal logic overhead. Using coprime n-bit counters, programmable phase offsets, and bit-reversal transforms, the architecture attains near fixed-point accuracy through lightweight shift–add logic and compact counters. Evaluations on 8×8, 14×14, 16×16, and 28×28 bipolar dot-product configurations show strong correlation with exact arithmetic and superior efficiency over conventional stochastic and binary MACs. Synthesized on a Xilinx Artix-7 FPGA, the implementation achieves up to 67% LUT and 68% flip-flop reductions, along with 50–80% power savings, validated through a synthesizable VHDL prototype. Cycle-accurate simulations confirm exact results for ∣x∣≤7with gain = 16, maintaining low error across wider ranges. The proposed phase-driven decorrelation method effectively eliminates inter-stream correlation, enabling fixed-point-like precision with high area and energy efficiency in FPGA-based stochastic hardware.
لیست مقالات
لیست مقالات بایگانی شده
یک سیستم پاسخ به نفوذ در شبکه های اینترنت اشیاء با استفاده از شبکه های مبتنی بر نرم افزار
احسان شاهرخی مینا - رضا محمدی - محمد نصیری
Epileptic Seizure Detection based on Statistical and Wavelet Features and Siamese Network
Zahra Hossein-Nejad - Mehdi Nasri
Distributed coordination protocol for event data exchange in IoT monitoring applications
Behnam Khazael - Hadi Tabatabaee Malazi
Application of Artificial Intelligence and Remote Sensing for Oil Spill Detection
َAmir Reza Ziaee - Masomeh Azimzadeh - Parvin Ahmadi
Prompt-Based Composed Fashion Image Retrieval via Gated Detail-Enhanced Dual Cross-Attention Difference Modeling
Kosar Keshavarz - Reza Azmi
GanjNet: Leveraging Network Modeling with Large Language Models for Persian Word Sense Induction
Amir Mohammad Kouyeshpour - Hadi Veisi - Saman Haratizadeh
Short-Term Traffic Flow Prediction Based on a Recurrent Deep Neural Networks: Study in Tehran
Dr Monireh عبدوس - Taha Vajed Samei
Improving Personalized Federated Learning-based QoE Assessment using Clustering
Skokufe Motaharipour - Behrouz Shahgholi Ghahfarokhi - Saeid Afshari
Distributed Deep Reinforcement Learning for Energy-Efficient and Low-Latency Load Balancing in Mobile Edge Computing
Pooria Azizi - Siavash Khorsandi
ارزیابی و برنامهریزی اجرای پیشنهادی هوش مصنوعی در صنعت پتروشیمی ایران
امین رضا انصاری - احد قائمی - سید مهدی کوچک کوثری
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.5.2