0% Complete
صفحه اصلی
/
ششمین کنفرانس بین المللی میکروالکترونیک ایران
Evaluation of Run-Time Energy Efficiency using Controlled Approximation in a RISC-V Core
نویسندگان :
Arvin Delavari
1
Faraz Ghoreishy
2
Hadi Shahriar Shahhoseini
3
Sattar Mirzakuchaki
4
1- Iran university of science and technology
2- Iran university of science and technology
3- Iran university of science and technology
4- Iran university of science and technology
کلمات کلیدی :
Embedded systems،RISC-V،approximate computing،low-power design،very large-scale integration
چکیده :
The limited energy available in most embedded systems poses a significant challenge in enhancing the performance of embedded processors and microcontrollers. One promising approach to address this challenge is the use of approximate computing, which can be implemented in both hardware and software layers to balance the trade-off between performance and power consumption. In this study, the impact of dynamic hardware approximation methods on the run-time energy efficiency of a RISC-V embedded processor with specialized features for approximate computing is investigated. The results indicate that the platform achieves an average energy efficiency of 13.3 pJ/instruction at a 500MHz clock frequency adhering approximation in 45nm CMOS technology. Compared to accurate circuits and computation, the approximate computing techniques in the processing core resulted in a significant improvement of 9.21% in overall energy efficiency, 60.83% in multiplication instructions, 14.64% in execution stage, and 9.23% in overall power consumption.
لیست مقالات
لیست مقالات بایگانی شده
طراحی شمارنده بالا پایین شمار سنکرون 8 بیتی بسیار سریع مبتنی بر شمارش در دولبه پالس ساعت با استفاده از ترانزیستورهای نانو لوله کربنی32 نانومتر
جواد جاویدان
Comparison between Hardware/Software Co-design of RiscV Vector and Scalar Implementation of Deep Neural Networks
Seyed Kian Mousavikia - Morteza Mousazadeh
Hybrid ECG Signal Denoising Using Wavelet Transform and Adaptive Notch Filtering
Hossein Kodoori - Mehrnaz Monajati
A Nonlinear, Low-Power, VCO-Based ADC for Neural Recording Applications
Reza Shokri - Yarallah Koolivand - Omid Shoaei - Orazio Aiello - Daniele Caviglia
Synthesis of TiNb2O7 by mechanical alloying and subsequent heat treatment as an anode material for Li-ion batteries
Shiva Rashidi Kia - Mehdi Khodae
Scattering and Absorption Analysis of RF Waves in Tunable Plasma Antennas Based on NEMS Structures
Ali Asghar Molavi Choobini - Rashid Riahi - Farkhonde Zamaninejad - Sara Sadat Ghaffari-Oskooei
Design of a High Voltage Common Mode Resilient FlexRay Receiver in 180nm/5V CMOS Process
Hamid Sadat Mansoury - Saeed Saeedi - Mojtaba Atarodi
Numerical Investigation of Electroosmotic Micromixing: Performance Comparison Between Models With Different Frequencies
Ali Adnan Banna - Sajad Rezazadeh - Haleh Sadeghi
A High-Speed, Tunable Dead-Zone Phase-Frequency Detector
Zaher Kakehbra - Khayrollah Hadidi
Real-Time Edge AI Deployment on Zynq UltraScale+ FPGAs A Versatile Framework for Computer Vision
Alireza Eteghad - Amirhossein Sharifzadeh - Ali Sinaei - Ataollah Panahgholi - Esmaeil Najafiaghdam
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.6.0