Heuristics and Evaluations of Energy-Aware Task Mapping on Heterogeneous Multiprocessors

2011 ◽  
Author(s):  
Wei Sun ◽  
Tomoyoshi Sugawara
Keyword(s):  
Task Mapping ◽  
Energy Aware ◽  
Heterogeneous Multiprocessors

scholarly journals Contention & Energy-Aware Real-Time Task Mapping on NoC Based Heterogeneous MPSoCs

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 75110-75123 ◽  
Author(s):  
Haider Ali ◽  
Umair Ullah Tariq ◽  
Yongjun Zheng ◽  
Xiaojun Zhai ◽  
Lu Liu
Keyword(s):  
Real Time ◽  
Task Mapping ◽  
Energy Aware ◽  
Time Task

Energy-aware dynamic task mapping for NoC-based MPSoCs

2011 ◽  
Author(s):  
Marcelo Mandelli ◽  
Luciano Ost ◽  
Everton Carara ◽  
Guilherme Guindani ◽  
Thiago Gouvea ◽  
...  
Keyword(s):  
Task Mapping ◽  
Energy Aware ◽  
Dynamic Task

scholarly journals Energy-Aware Real-Time Task Scheduling for Heterogeneous Multiprocessors with Particle Swarm Optimization Algorithm

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Weizhe Zhang ◽  
Hucheng Xie ◽  
Boran Cao ◽  
Albert M. K. Cheng
Keyword(s):  
Particle Swarm Optimization ◽  
Energy Consumption ◽  
Real Time ◽  
Task Scheduling ◽  
Particle Swarm ◽  
Energy Aware ◽  
Swarm Optimization ◽  
Heterogeneous Multiprocessors ◽  
Time Task ◽  
Feasible Solutions

Energy consumption in computer systems has become a more and more important issue. High energy consumption has already damaged the environment to some extent, especially in heterogeneous multiprocessors. In this paper, we first formulate and describe the energy-aware real-time task scheduling problem in heterogeneous multiprocessors. Then we propose a particle swarm optimization (PSO) based algorithm, which can successfully reduce the energy cost and the time for searching feasible solutions. Experimental results show that the PSO-based energy-aware metaheuristic uses 40%–50% less energy than the GA-based and SFLA-based algorithms and spends 10% less time than the SFLA-based algorithm in finding the solutions. Besides, it can also find 19% more feasible solutions than the SFLA-based algorithm.

Deadline and energy aware dynamic task mapping and scheduling for Network-on-Chip based multi-core platform

2017 ◽  
Vol 74 ◽  
pp. 61-77 ◽  
Author(s):  
Navonil Chatterjee ◽  
Suraj Paul ◽  
Priyajit Mukherjee ◽  
Santanu Chattopadhyay
Keyword(s):  
Network On Chip ◽  
Task Mapping ◽  
Energy Aware ◽  
Dynamic Task ◽  
On Chip

Energy-aware task mapping onto heterogeneous platforms using DVFS and sleep states

2015 ◽  
Vol 52 (4) ◽  
pp. 450-485 ◽  
Author(s):  
Muhammad Ali Awan ◽  
Patrick Meumeu Yomsi ◽  
Geoffrey Nelissen ◽  
Stefan M. Petters
Keyword(s):  
Task Mapping ◽  
Energy Aware ◽  
Heterogeneous Platforms
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