scholarly journals Hardware/Software Partitioning Algorithm under Multi-Constraints for the Optimization of Power Consumption

2017 ◽  
pp. 578-589
Keyword(s):  
Power Consumption ◽  
Partitioning Algorithm ◽  
Software Partitioning

A resource aware software partitioning algorithm based on mobility constraints in pervasive grid environments

2008 ◽  
Vol 24 (6) ◽  
pp. 512-529 ◽  
Author(s):  
Songqiao Han ◽  
Shensheng Zhang ◽  
Jian Cao ◽  
Ye Wen ◽  
Yong Zhang
Keyword(s):  
Grid Environments ◽  
Partitioning Algorithm ◽  
Resource Aware ◽  
Software Partitioning

An algebraic hardware/software partitioning algorithm

2002 ◽  
Vol 17 (3) ◽  
pp. 284-294 ◽  
Author(s):  
Shengchao Qin ◽  
Jifeng He ◽  
Zongyan Qiu ◽  
Naixiao Zhang
Keyword(s):  
Partitioning Algorithm ◽  
Software Partitioning

scholarly journals Performance and energy optimization of heterogeneous CPU-GPU systems for embedded applications

2021 ◽  
Author(s):  
Abdullah Siddiqui
Keyword(s):  
Embedded Systems ◽  
Power Consumption ◽  
Optimization Algorithm ◽  
Heterogeneous Computing ◽  
Energy Optimization ◽  
Systems Design ◽  
Application Partitioning ◽  
Computing Platforms ◽  
Embedded Applications ◽  
Software Partitioning

One of the most critical steps of embedded systems design is Hardware-Software partitioning. It is characterized by distributing the components of an application between hardware and software such that the user defined system constraints are satisfied. Heterogeneous computing platforms consisting of CPUs and GPUs have tremendous potential for enhancing the performance of embedded applications. The challenge of application partitioning for CPU-GPU mapping is much greater on such platforms due to their unique and diverse characteristics. In this thesis, an optimization algorithm is devised and presented for partitioning and mapping computational tasks on CPU-GPU platforms while keeping a check on the power consumption. Our methodology also uses parallelism in applications and their tasks by utilizing the architectural capabilities of the GPU. The optimization algorithm was tested with a MJPEG decoder, several benchmarks and synthetic graphs.

Hardware/Software partitioning algorithm for embedded systems with repeated functionalities

2008 ◽  
Author(s):  
V. Arunachalam ◽  
Sunny Sapra ◽  
N.S.K. Chaitanya ◽  
Jewan Prakash Rainac
Keyword(s):  
Embedded Systems ◽  
Partitioning Algorithm ◽  
Software Partitioning

Hardware/Software Partitioning Algorithm Based on Genetic Algorithm

2014 ◽  
Vol 9 (6) ◽  
Author(s):  
Shuai Guo Li ◽  
Fu Jin Feng ◽  
Hua Jun Hu ◽  
Cong Wang ◽  
Duo Qi
Keyword(s):  
Genetic Algorithm ◽  
Partitioning Algorithm ◽  
Software Partitioning
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