Editing Parallel computing (section)

== Disadvantages ==
Parallel computing can incur significant overhead in practice, primarily due to the costs associated with merging data from multiple processes. Specifically, inter-process communication and synchronization can lead to overheads that are substantially higher—often by two or more orders of magnitude—compared to processing the same data on a single thread. <ref>{{Cite book |title=Operating System Concepts |isbn=978-0470128725 |last1=Silberschatz |first1=Abraham |last2=Galvin |first2=Peter B. |last3=Gagne |first3=Greg |date=29 July 2008 |publisher=Wiley }}</ref><ref>{{Cite book |title=Computer Organization and Design MIPS Edition: The Hardware/Software Interface (The Morgan Kaufmann Series in Computer Architecture and Design) |date=2013 |publisher=Morgan Kaufmann |isbn=978-0124077263}}</ref><ref>{{Cite book |title=Parallel Programming: Techniques and Applications Using Networked Workstations and Parallel Computers |date=2005 |publisher=Pearson |isbn=978-0131405639}}</ref> Therefore, the overall improvement should be carefully evaluated.