An Efficient Power-Aware Optimization for Task Scheduling on NoC-based Many-core System

2010 ◽  
Author(s):  
Wei Hu ◽  
Xingsheng Tang ◽  
Bin Xie ◽  
Tianzhou Chen ◽  
Dazhou Wang
Keyword(s):  
Task Scheduling ◽  
Core System ◽  
Many Core ◽  
Efficient Power

Temperature-Aware Task Scheduling for Dark Silicon Many-Core System-on-Chip

2019 ◽  
Author(s):  
Mohammed Sultan Mohammed ◽  
Ahlam Khaled Al-Dhamari ◽  
Ab Al-Hadi ab Rahman ◽  
Norlina Paraman ◽  
Ali A.M. Al-Kubati ◽  
...  
Keyword(s):  
Task Scheduling ◽  
System On Chip ◽  
Dark Silicon ◽  
Core System ◽  
On Chip ◽  
Many Core

Performance Evaluation of Graph Partitioning on Many-core System

2021 ◽  
Author(s):  
Anuja A. Tapase ◽  
Siddheshwar V. Patil ◽  
Dinesh B. Kulkarni
Keyword(s):  
Performance Evaluation ◽  
Graph Partitioning ◽  
Core System ◽  
Many Core

A Fault-Tolerant Deflection Routing for Network-on-Chip

2016 ◽  
Vol 26 (03) ◽  
pp. 1750037 ◽  
Author(s):  
Xiaofeng Zhou ◽  
Lu Liu ◽  
Zhangming Zhu
Keyword(s):  
Fault Tolerant ◽  
Network On Chip ◽  
Deflection Routing ◽  
Core System ◽  
Routing Schemes ◽  
Routing Performance ◽  
Layout Area ◽  
On Chip ◽  
Many Core ◽  
Redundant Fault

Network-on-Chip (NoC) has become a promising design methodology for the modern on-chip communication infrastructure of many-core system. To guarantee the reliability of traffic, effective fault-tolerant scheme is critical to NoC systems. In this paper, we propose a fault-tolerant deflection routing (FTDR) to address faults on links and router by redundancy technique. The proposed FTDR employs backup links and a redundant fault-tolerant unit (FTU) at router-level to sustain the traffic reliability of NoC. Experimental results show that the proposed FTDR yields an improvement of routing performance and fault-tolerant capability over the reported fault-tolerant routing schemes in average flit deflection rate, average packet latency, saturation throughput and reliability by up to 13.5%, 9.8%, 10.6% and 17.5%, respectively. The layout area and power consumption are increased merely 3.5% and 2.6%.

Decentralized Thermal-Aware Task Scheduling for Large-Scale Many-Core Systems

2016 ◽  
Vol 24 (6) ◽  
pp. 2075-2088 ◽  
Author(s):  
Yingnan Cui ◽  
Wei Zhang ◽  
Vivek Chaturvedi ◽  
Bingsheng He
Keyword(s):  
Task Scheduling ◽  
Large Scale ◽  
Many Core
Sign in / Sign up

Export Citation Format

Share Document