.png){kind=icon}
返回
Research and optimization of task scheduling algorithm based on heterogeneous multi-core processor
.png){kind=icon}
PRE
AI
DOI：10.1007/s10586-024-04606-0.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Heterogeneous multi-core processor has the ability to switch between different types of cores to perform tasks, which provides more space and possibility for realizing efficient operation of computer system and improving computer computing power. Current research focuses on heterogeneous multiprocessor systems with high performance or low power consumption to reduce system energy consumption. However, some studies have shown that excessive voltage reduction may lead to an increase in transient failure rates, reducing system reliability. This paper studies the energy optimal scheduling problem of HMSS with DVFS under the constraints of minimum time and reliability, and proposes an improved wild horse optimization algorithm (OIWHO), which improves the efficiency of heterogeneous task scheduling and shortens the task completion time. The algorithm uses the learning and chaos perturbation strategies based on opposition and crossover strategies to balance the search and utilization capabilities, and can further improve the performance of OIWHO. Compared with previous work, our proposed algorithm has more advantages than existing algorithms. Experimental results show that the average computing time of OIWHO algorithm is 12.58%, 11.42%, 7.53%, 4.20% and 3.21% faster than DRNN-BWO, PSO, GWO-GA, GACSH and OIWOAH, respectively. Especially when solving large-scale problems, our algorithm takes less time than other algorithms.
Keyword:
Distributed computing
Heterogeneous multi-core processors
High performance computing
Task scheduling
Swarm intelligence optimization algorithms
期刊
C
IF:
4.1
论文数:
5.1K
被引数:
7.5K
机构
引用论文
Behavior and biology of the tomato psyllid, Bactericerca cockerelli, in response to the Mi‐1.2 gene
PREAI
分享收藏Wild horse optimizer: a new meta-heuristic algorithm for solving engineering optimization problems
PREAI
分享收藏Optimized partitioning and priority assignment of real-time applications on heterogeneous platforms with hardware acceleration通过硬件加速优化异构平台上实时应用程序的分区和优先级分配
OAAI
OAAI分享收藏Energy-Aware Task Scheduling on Heterogeneous Computing Systems With Time Constraint.png)
IEEE ACCESSOAAI
IEEE ACCESSIF3.6
OAAI分享收藏
查看更多内容