Parallel processing of two independent threads is compared. Given the circumstances, what is the most appropriate next step?
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Parallel processing of two independent threads is compared. Given the circumstances, what is the most appropriate next step?
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- What is the maximum number of parallel processes that may be performed simultaneously?In which circumstances does the use of many threads result in performance that is inferior to that of a single-threaded approach?Explain the concept of thread safety and how it can be achieved in a multithreaded application.
- Parallel processing of two independent processes is analogized to a single one with two parallel threads. How should we proceed given the existing circumstances?Under what conditions does the usage of many threads provide performance that is subpar to a single-threaded approach?Two parallel processes are compared to two parallel threads inside the same process. Given the circumstances, what's the best thing to do?
- Explain the concept of thread pooling in multithreading. How does it improve performance, and what are the best practices for implementing thread pooling in a multi-threaded application?When it comes to multitasking, you may take either a symmetric or asymmetrical approach. To what extent can employing many processors in a single program increase efficiency, and what are the downsides of doing so?Explain the concept using Threads for Parallelism.
- In the One-to-One multithreading model, the number of threads per process sometimes are restricted due to overhead, why?One method to do this is to investigate the parallels and contrasts that exist between the scheduling of threads and the scheduling of processes.Suppose that when run using a single thread, a particular program spends 20 seconds executing code that cannot be parallelized, and 280 seconds executing code that is highly parallelizable. Using Amdahl’s law, give an upper bound on the speedup (ratio of old to new execution time) that might be achieved for this program by exploiting parallel execution on a highly-parallel computer with thousands of processors/cores.