Abstract

Most of the algorithms in Computer Science are linear algorithms. This means that each subsequent instruction directly depends on the calculations of the previous instructions. In this type of linear algorithm, the sequence of calculations does not allow instructions to be calculated simultaneously on different processors. A much smaller subset of algorithms in Computer Science allows individual pieces of data to be processed in parallel. In turn, a subset of parallel algorithms allows implementation in the form of distributed computing. A very bright example of this is the population heuristics for global optimization and machine learning algorithms. Modern mobile devices, and especially Android OS based, are giving unlimited capabilities for distributed computing. In this study, some of these capabilities are discussed.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.