Title :
Hardware/Software Partitioning and Scheduling Algorithm Based on FPGA
Author :
Lanying Li ; Longjuan Chen
Author_Institution :
Coll. of Comput. Sci. & Technol., Harbin Univ. of Sci. & Technol., Harbin, China
Abstract :
For low power consumption of system structure in embedded heterogeneous multi-core processor, decompose the hardware/software partitioning into task partitioning and low power scheduling in two stages. The algorithm of reducing power consumption is adopted at each stage, and finally optimal algorithm of two stages will be integrated in order to achieve the system goal of maximum reduction of the power consumption.
Keywords :
embedded systems; field programmable gate arrays; multiprocessing systems; power aware computing; processor scheduling; FPGA; embedded heterogeneous multicore processor; hardware-software partitioning; low power consumption; power consumption reduction; scheduling algorithm; system structure; Educational institutions; Hardware; Partitioning algorithms; Power demand; Scheduling algorithms; Software; Software algorithms; hardware/software partitioning; heterogeneous multi-core processor; low power consumption;
Conference_Titel :
Control and Automation (CA), 2014 7th Conference on
Conference_Location :
Haikou
Print_ISBN :
978-1-4799-8205-9