Performance Enhancement Techniques for Modern Reconfigurable Computing Systems

Abstract

Reconfigurable computing has become an essential part of research in the domain of modern computing paradigms. Reconfigurable computing approach integrates both, the performance and flexibility gaining aspects on a single computing system. The computational performance of such kind of systems is crucially dependant on the configuration overheads caused by configuration management unit. Performance of the configuration management unit greatly accelerates the computational power of reconfigurable computing system. There are a large number of control and management techniques which can be used to improve this technology. This research paper presents a comprehensive analysis of existing performance enhancement methodologies in practice. The paper also point outs the different aspects of configuration management for critical analysis and further optimization.

Probabilistic Principle Component Analysis based Feature Extraction of Embedded System Applications with Deep Neural Network based Implementation in FPGA

“…To mollify the necessities and constrictions in the portable, embedded devices, and also to speed up the process of the application on these devices its domineering for the integrate of some hardware into software and hardware system designs. The designed hardware which are specifically designed the delivers higher performance speed, area efficiency and less power consumption, [1,2] that are compared to the corresponding software on microprocessors.…”

“…The configuration management that speeds up the computational power of reconfigurable computing. The control and management techniques which help to improve the technology [1]. Configuration are used to reduce the emerging concepts of multiple switching, partial reconfiguration, configuration cloning and configuration pipelining.…”