Abstract: Low power embedded system requires effective memory design system which improves the system performance with the help of memory implementation techniques. Application specific data allocation design pattern implements the memory storage area and internal cell design techniques implements data transition speeds. Embedded cache design is implemented with simulator and scheduling approaches which can reduce the cache miss behavior and improve the cache hit quantities. Cache hit optimization, delay reduction and latency prediction techniques are effective for ASIP design. The design functionality is simply specifying the tradeoff among various design metrics like performance, power, size, cost and flexibility. ASIP behavior and memory storage area optimized for low power embedded system and implements cycle time with effective scheduling techniques which implements the system performance with low power consumption.

Ravi Khatwal and Manoj Kumar Jain, “An Efficient Application Specific Memory Storage and ASIP Behavior Optimization in Embedded System” International Journal of Advanced Computer Science and Applications(IJACSA), 7(7), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070725

@article{Khatwal2016,
title = {An Efficient Application Specific Memory Storage and ASIP Behavior Optimization in Embedded System},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070725},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070725},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {7},
author = {Ravi Khatwal and Manoj Kumar Jain}
}