Ways Multithreading Provides Better Performance than a Single-Threaded Solution
The first example proving the efficiency and performance level of multi-thread over single-thread is that of a typical cash register. In this particular instance, the scanning process involving a convenience store’s items requires a subsequent update of the display. This action allows the fine-tuning of the stock level in the store. Executing these tasks singly as independent threads, an impediment would occur in the form of blocks. It’s through multi-thread processing that we can view information related to the item, including its name and specifications while still being able to calculate the sum payable to the store. Multi-threading serves an essential purpose in this particular instance, especially due to the I/O devices that are in use, ensuring that blocks do not occur during the process. The second example includes a typical menu screen and all the process that it leads to while carrying out a specific action. Whenever a user selects the menu option, the resultant effect is hem being led to another menu screen as seen in the main menu > ringer options example. Opening a new process becomes an even easier task while ensuring that a wait status exists on the original thread. The advantage of this is that a processor does not jump from one process to the next ensuring that a clear process is established.
Describe in detail two programming examples in which multithreading does not provide better performance than a single-threaded solution.
Multi-threading does not provide a user with a superior level of performance, compared to the single-thread option, as it’s a sequential program. The detrimental effects of applying this option can be viewed in the calculation of person’s tax return. Another example involves the use of programs such as Korn shell by a user at any given moment. Shell programs are cumbersome since all variables that make its processes possible have to be monitored closely as a measure aimed at ensuring optimum performance (Posch, 2017). In essence, utilizing the multi-thread option often involves constant time complexity where the operating system will be forced to run a separate thread greatly reducing the level of performance. Multi-threading slows the operations down as the time taken to complete them remains constant.
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