System Level Architecture Exploration for Reconfigurable Systems On Chip

2006 ◽  
Author(s):  
Konstantinos Masselos ◽  
Yang Qu ◽  
Kari Tiensyrja ◽  
Nikolaos Voros ◽  
Miroslav Cupak ◽  
...  
Keyword(s):  
System Level ◽  
Reconfigurable Systems ◽  
Architecture Exploration ◽  
Systems On Chip ◽  
On Chip

Systemc and OCAPI-XL Based System-Level Design for Reconfigurable Systems-on-Chip

2006 ◽  
pp. 255-269 ◽  
Author(s):  
Kari Tiensyrjä ◽  
Miroslav Cupak ◽  
Kostas Masselos ◽  
Marko Pettissalo ◽  
Konstantinos Potamianos ◽  
...  
Keyword(s):  
System Level ◽  
Reconfigurable Systems ◽  
System Level Design ◽  
Systems On Chip ◽  
Level Design ◽  
On Chip

Parallel-Pipelined Video Processing in Multicore Heterogeneous Systems on Chip

2021 ◽  
Vol 26 (2) ◽  
pp. 172-183
Author(s):  
E.S. Yanakova ◽  
◽  
G.T. Macharadze ◽  
L.G. Gagarina ◽  
A.A. Shvachko ◽  
...  
Keyword(s):  
Video Processing ◽  
High Efficiency ◽  
Heterogeneous Systems ◽  
Video Data ◽  
System Level ◽  
Video Information ◽  
Systems On Chip ◽  
The Face ◽  
Parallel Pipelined ◽  
On Chip

A turn from homogeneous to heterogeneous architectures permits to achieve the advantages of the efficiency, size, weight and power consumption, which is especially important for the built-in solutions. However, the development of the parallel software for heterogeneous computer systems is rather complex task due to the requirements of high efficiency, easy programming and the process of scaling. In the paper the efficiency of parallel-pipelined processing of video information in multiprocessor heterogeneous systems on a chip (SoC) such as DSP, GPU, ISP, VDP, VPU and others, has been investigated. A typical scheme of parallel-pipelined processing of video data using various accelerators has been presented. The scheme of the parallel-pipelined video data on heterogeneous SoC 1892VM248 has been developed. The methods of efficient parallel-pipelined processing of video data in heterogeneous computers (SoC), consisting of the operating system level, programming technologies level and the application level, have been proposed. A comparative analysis of the most common programming technologies, such as OpenCL, OpenMP, MPI, OpenAMP, has been performed. The analysis has shown that depend-ing on the device finite purpose two programming paradigms should be applied: based on OpenCL technology (for built-in system) and MPI technology (for inter-cell and inter processor interaction). The results obtained of the parallel-pipelined processing within the framework of the face recognition have confirmed the effectiveness of the chosen solutions.

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