0% Complete
صفحه اصلی
/
بیست و نهمین کنفرانس مهندسی برق ایران
Low-Leakage 6T SRAM Cell for In-Memory Computing with High Stability
نویسندگان :
Deniz Najafi
1
Behzad Ebrahimi
2
1- دانشگاه آزاد اسلامی واحد علوم و تحقیقات تهران
2- دانشگاه آزاد اسلامی واحد علوم و تحقیقات تهران
کلمات کلیدی :
In-Memory-computing, IGFinFET, polymorphic, low-leakage, SRAM.
چکیده :
In this paper, a novel low-leakage six transistor static random access memory (SRAM) is proposed in IGFinFET technology. This cell is a great candidate for “In-memory-computing” because of the minimum transistor count and decoupled read and write operations. According to simulations in 10 nm FinFET technology, the RSNM, and WM of the proposed cell is 2x and 1.7x higher than conventional 6T cells at 500 mV supply voltage. This results in enabling the ability to decrease the supply voltage of the memory array, without risking the stability, to save power. Besides, to further improve in-memory computing, a new polymorphic logic gate with eight transistors has been proposed. Using the proposed polymorphic gate decreases the latency of in-memory computation and enables the in-memory vector to compute with low overhead.
لیست مقالات
لیست مقالات بایگانی شده
Evaluation of Different Connectivity Methods for Obsessive Compulsive Disorder Diagnosis
Samandokht Rashidi - Amin Abdipourasl - Fatemeh Jamaloo - Reza Rostami
مقایسه پارامترهای عملکردی کمپرسورهای 4:2 در تکنولوژی FinFET و GAA-NWFET
پگاه زکیان - راهبه نیارکی اصلی
SWOT Analysis of the Mega Constellation Technology and Satellite Internet
Mohammad Bod - Parvin Sojoodi - Leila Mohammadi
گیمیفیکیشن یک رویکرد نوآورانه جهت کاهش مصرف برق دربخش خانگی
حمید حقرجو - مرضیه زارع زاده کللی - مهدی اشکپور مطلق
Lane Change Decision Making Using Deep Reinforcement Learning
Pedram Lamei - Mohammad Haeri
The Theory of A Novel Circuit Design For An Identification Processor Using 0.35µm CMOS Technology
Rouhollah Mohammadinasr - Kheirollah Hadidi - Farhad Piri
Accurate Methods for Automatic Detection of Characteristic Points in Electrocardiograms
Seyedeh Mersedeh Bagheri - Mohammad Pooyan
An Overview on the primary control of VSC-MTDC systems
Seyed Mohsen Alavi - Reza Ghazi
Multi-Objective Concurrent Kernel Scheduling for Multi-GPU Systems
Negar Baradar Alizadeh - Mahmoud Momtazpour
Deep Convolutional Neural Network for ADHD Classification using resting-state fMRI
MohammadHadi Firouzi - Maliheh Ahmadi - Kamran Kazemi - Mohammad Sadegh Helfroush - Ardalan Aarabi
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 43.6.0