Utilize Python Multiprocessing module to perform non-locking parallel array summing on different paradigms. 1. One master thread aggregating and sum the result of n slave-threads that each process sums a different range of values in a given array of 1000 random integers. 2. Tree-reduction: Each thread will receive an segment of array of numbers, it will fork/spawn two new slaves each perform summing on different half of the received array segment, and the parent aggregate and return the total from its two slaves to its parent thread. Start with 7 nodes thread tree, when you are comfortable, you can extend it to a full thread tree . Test your code on different size of data What to submit: 1. Your python code 2. a screen (or video) capture of your code execution

Q10 In symmetric multiprocessor scheduling using private queues, when the scheduler running on a processor seeks to change its workload because it has no tasks to run, it performs a specific type of action called a Enter your answer here Q11 Consider the following pseudo-code implementation of a semaphore wait operation. void wait() { disable interrupts; sem value = sem value- 1; if ( sem value < 0) { block the calling process, adding it to sem_queue; schedule a process from the ready queue; enable interrupts; Is this code free of race conditions on a SMP? O Yes O No

Herr array of numbers, it will fork/spawn two new slaves each perform summing .

Multi-tasking can not be achieved with a single processor machine.  True  False       2. Async/Await is best for network bound operations while multi-threading and parallel programming is best for CPU-bound operations.  True  False     3. The following is a characteristic of an async method:The name of an async method, by convention, ends with an "Async" suffix.  True  False   4. Using asynchronous code for network bound operations can speed up the time needed to contact the server and get the data back.  True  False     5. Asynchronous programming has been there for a long time but has tremendously been improved by the simplified approach of async programming in C# 5 through the introduction of:  The Task class  True  False