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Q. Explain about Threads Model - programming model?
In this model a single process can have many as well as concurrent execution paths. The main program is planned to run by native operating system. It loads and obtains all necessary softwares as well as user resources to activate process. A thread's work can best be explained as a subroutine in main program. Any thread is able to be executing any subroutine and at same time it can execute other subroutine. Threads communicate with one another via global memory. This needs Synchronization constructs to assure that more than one thread isn't updating similar global address at any time. Threads can be created as well as destroyed however main program remains live to give necessary shared resources till application has finished. Threads are generally connected with shared memory architectures as well as operating systems.
A data structure in which an element is added and detached only from one end, is known as Stack
Q. Show the liability of CPU in interrupt cycle? In the interrupt cycle the liability of CPU/Processor is to ensure whether any interrupts have happened checking presence of in
How semaphores implement mutual exclusion? Mutual-exclusion implementation along with semaphores: Assume that there are n-processes and they share a semaphore, mutex (stan
A Scrollbar is a Component, but not a Container while Scrollpane is a Container and handles its own events and do its own scrolling.
A sorting method which uses the binary tree concept such that label of any node is larger than all the labels in the sub trees, is called A Sorting method which uses the binar
drawbacks of shadow paging
Any function can be expressed in a truth table.A truth table lists all possible combinations ofinputs and gives the output produced in eachcase.Truth tables must include all combin
Handling Interrupts: Precise interrupts (sequential semantics) Complete instructions before the offending instructions o Force trap instruction into IF o
Q. Explain working neural network work? ANSWER: A neural network has an input layer with the factors under consideration, a middle or hidden layer that assigns and adjusts weig
aggregation in dbms?
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