Free MDD-based software optimization techniques for embedded systems

Author(s):  
Changhee Kim ◽  
L. Lavagno ◽  
A. Sangiovanni-Vincentelli
2012 ◽  
Vol 198-199 ◽  
pp. 626-630
Author(s):  
Xin Wang

There are generally two types of E-commerce platform optimized programs: hardware optimization and software optimization, This paper first analyzes the system optimization techniques of software optimization, Including dynamic load optimization technology and cluster technology; Then studies the database performance optimization methods from the table, connection pooling, query and several other aspects; Finally to carry on the research to optimization electronic commerce platform used the cache technology. Proposes a universal significance of E-commerce platform software optimization solutions, these studies have some references for relevant E-commerce website designers and maintainers, and provides a strategy for the corresponding E-commerce enterprises to optimize platform environments.


2019 ◽  
Vol 5 ◽  
pp. e175
Author(s):  
Seth Russell ◽  
Tellen D. Bennett ◽  
Debashis Ghosh

Today’s computational researchers are expected to be highly proficient in using software to solve a wide range of problems ranging from processing large datasets to developing personalized treatment strategies from a growing range of options. Researchers are well versed in their own field, but may lack formal training and appropriate mentorship in software engineering principles. Two major themes not covered in most university coursework nor current literature are software testing and software optimization. Through a survey of all currently available Comprehensive R Archive Network packages, we show that reproducible and replicable software tests are frequently not available and that many packages do not appear to employ software performance and optimization tools and techniques. Through use of examples from an existing R package, we demonstrate powerful testing and optimization techniques that can improve the quality of any researcher’s software.


Author(s):  
Rushit Dave ◽  
Brinta Chowdhury ◽  
Evelyn R. Sowells-Boone

Over the last two decades, the evolution of mobile technologies has led to an unprecedented adoption of cellphones in mainstream society. Consumers have moved from having the ability to make telephone calls from anywhere at any time using the traditional cellphones to having an all-access pass to cyberspace using today's smartphones. This portable device has become a reliable support system for the user because of the accessibility and flexibility it offers to maintain the users' daily routine. Authors in this chapter have chosen software optimization techniques to increase battery efficiency because these techniques are more robust. This chapter introduces a novel idea of an automated system for smartphones that prioritize application access based on the owner's usage patterns and daily routine to conserve battery life. This system will serve two purposes: save battery power and improve the smartphone's artificial intelligence.


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