Real-time system timing analysis is crucial for estimating the worst-case execution time(WCET)of a program.To achieve this,static or dynamic analysis methods are used,along with targeted modeling of the actual hardwar...Real-time system timing analysis is crucial for estimating the worst-case execution time(WCET)of a program.To achieve this,static or dynamic analysis methods are used,along with targeted modeling of the actual hardware system.This literature review focuses on calculating WCET for multi-core processors,providing a survey of traditional methods used for static and dynamic analysis and highlighting the major challenges that arise from different program execution scenarios on multi-core platforms.This paper outlines the strengths and weaknesses of current methodologies and offers insights into prospective areas of research on multi-core analysis.By presenting a comprehensive analysis of the current state of research on multi-core processor analysis for WCET estimation,this review aims to serve as a valuable resource for researchers and practitioners in the field.展开更多
为研究预应力混凝土用钢棒(steel bar for prestressed concrete, PC钢棒)-钢筋混合配筋混凝土柱的抗震性能,设计制作了5根相同尺寸、相同纵筋配筋率、不同PC钢棒替代率的PC钢棒-钢筋混合配筋混凝土柱试件,通过拟静力试验研究了PC钢棒...为研究预应力混凝土用钢棒(steel bar for prestressed concrete, PC钢棒)-钢筋混合配筋混凝土柱的抗震性能,设计制作了5根相同尺寸、相同纵筋配筋率、不同PC钢棒替代率的PC钢棒-钢筋混合配筋混凝土柱试件,通过拟静力试验研究了PC钢棒替代率对试件抗震性能的影响规律。结果表明:随着PC钢棒替代率的提高,试件的裂缝分布高度降低,裂缝数量变少,滞回曲线的饱满程度逐渐降低,耗能能力降低,残余位移角减小,自复位能力增强;当PC钢棒的替代率不大于50%时,各试件的峰值荷载接近;当PC钢棒的替代率大于50%时,试件的峰值荷载随PC钢棒替代率的增大而提高;当加载位移角相同且不大于1.0%时,配置PC钢棒的混凝土柱的残余位移角较为接近,且明显小于未配置PC钢棒的钢筋混凝土柱的残余位移角;当加载位移角相同且大于1%时,柱的残余位移角随着PC钢棒替代率的增高而降低。展开更多
The developments of multi-core systems(MCS)have considerably improved the existing technologies in thefield of computer architecture.The MCS comprises several processors that are heterogeneous for resource capacities,...The developments of multi-core systems(MCS)have considerably improved the existing technologies in thefield of computer architecture.The MCS comprises several processors that are heterogeneous for resource capacities,working environments,topologies,and so on.The existing multi-core technology unlocks additional research opportunities for energy minimization by the use of effective task scheduling.At the same time,the task scheduling process is yet to be explored in the multi-core systems.This paper presents a new hybrid genetic algorithm(GA)with a krill herd(KH)based energy-efficient scheduling techni-que for multi-core systems(GAKH-SMCS).The goal of the GAKH-SMCS tech-nique is to derive scheduling tasks in such a way to achieve faster completion time and minimum energy dissipation.The GAKH-SMCS model involves a multi-objectivefitness function using four parameters such as makespan,processor utilization,speedup,and energy consumption to schedule tasks proficiently.The performance of the GAKH-SMCS model has been validated against two datasets namely random dataset and benchmark dataset.The experimental outcome ensured the effectiveness of the GAKH-SMCS model interms of makespan,pro-cessor utilization,speedup,and energy consumption.The overall simulation results depicted that the presented GAKH-SMCS model achieves energy effi-ciency by optimal task scheduling process in MCS.展开更多
基金supported by ZTE Industry-University-Institute Cooperation Funds under Grant No.2022ZTE09.
文摘Real-time system timing analysis is crucial for estimating the worst-case execution time(WCET)of a program.To achieve this,static or dynamic analysis methods are used,along with targeted modeling of the actual hardware system.This literature review focuses on calculating WCET for multi-core processors,providing a survey of traditional methods used for static and dynamic analysis and highlighting the major challenges that arise from different program execution scenarios on multi-core platforms.This paper outlines the strengths and weaknesses of current methodologies and offers insights into prospective areas of research on multi-core analysis.By presenting a comprehensive analysis of the current state of research on multi-core processor analysis for WCET estimation,this review aims to serve as a valuable resource for researchers and practitioners in the field.
文摘为研究预应力混凝土用钢棒(steel bar for prestressed concrete, PC钢棒)-钢筋混合配筋混凝土柱的抗震性能,设计制作了5根相同尺寸、相同纵筋配筋率、不同PC钢棒替代率的PC钢棒-钢筋混合配筋混凝土柱试件,通过拟静力试验研究了PC钢棒替代率对试件抗震性能的影响规律。结果表明:随着PC钢棒替代率的提高,试件的裂缝分布高度降低,裂缝数量变少,滞回曲线的饱满程度逐渐降低,耗能能力降低,残余位移角减小,自复位能力增强;当PC钢棒的替代率不大于50%时,各试件的峰值荷载接近;当PC钢棒的替代率大于50%时,试件的峰值荷载随PC钢棒替代率的增大而提高;当加载位移角相同且不大于1.0%时,配置PC钢棒的混凝土柱的残余位移角较为接近,且明显小于未配置PC钢棒的钢筋混凝土柱的残余位移角;当加载位移角相同且大于1%时,柱的残余位移角随着PC钢棒替代率的增高而降低。
基金supported by Taif University Researchers Supporting Program(Project Number:TURSP-2020/195)Taif University,Saudi Arabia.Princess Nourah bint Abdulrahman University Researchers Supporting Project number(PNURSP2022R203)Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia.
文摘The developments of multi-core systems(MCS)have considerably improved the existing technologies in thefield of computer architecture.The MCS comprises several processors that are heterogeneous for resource capacities,working environments,topologies,and so on.The existing multi-core technology unlocks additional research opportunities for energy minimization by the use of effective task scheduling.At the same time,the task scheduling process is yet to be explored in the multi-core systems.This paper presents a new hybrid genetic algorithm(GA)with a krill herd(KH)based energy-efficient scheduling techni-que for multi-core systems(GAKH-SMCS).The goal of the GAKH-SMCS tech-nique is to derive scheduling tasks in such a way to achieve faster completion time and minimum energy dissipation.The GAKH-SMCS model involves a multi-objectivefitness function using four parameters such as makespan,processor utilization,speedup,and energy consumption to schedule tasks proficiently.The performance of the GAKH-SMCS model has been validated against two datasets namely random dataset and benchmark dataset.The experimental outcome ensured the effectiveness of the GAKH-SMCS model interms of makespan,pro-cessor utilization,speedup,and energy consumption.The overall simulation results depicted that the presented GAKH-SMCS model achieves energy effi-ciency by optimal task scheduling process in MCS.
