what are the main advantages of multiprogramming?
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Question: What are the advantages of multiprogramming? Increased CPU Utilization − Multiprogramming improves CPU utilization as it organizes a number of jobs where CPU always has one to execute. Increased Throughput − Throughput means total number of programs executed over a fixed period of time.
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['Fault tolerance.', 'Scalability.', 'QoS.', 'Security.']
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The difference between multiprocessing and multi programming is that Multiprocessing is basically executing multiple processes at the same time on multiple processors, whereas multi programming is keeping several programs in main memory and executing them concurrently using a single CPU only.
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Some of the advantages of object-oriented programming include: 1. Improved software-development productivity: Object-oriented programming is modular, as it provides separation of duties in object-based program development. It is also extensible, as objects can be extended to include new attributes and behaviors.
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['Hiding the complexities of hardware from the user.', "Managing between the hardware's resources which include the processors, memory, data storage and I/O devices.", 'Handling "interrupts" generated by the I/O controllers.', 'Sharing of I/O between many programs using the CPU.']
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The Perks of Having a Dual Processor Motherboard A dual CPU motherboard will allow you to use two CPUs simultaneously, that much is obvious. ... For starters, it gives you a greater number of cores, which, in turn, means better multitasking and more overall computing power.
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['Process Management. Process is a program in execution --- numerous processes to choose from in a multiprogrammed system, ... ', 'Memory Management. Maintain bookkeeping information. ... ', 'I/O Device Management. ... ', 'File System. ... ', 'Protection. ... ', 'Network Management. ... ', 'Network Services (Distributed Computing) ... ', 'User Interface.']
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What is the difference between multi-tasking and multi-processing? In multiprocessing, the point is that you have more than one processor on your computer to do the tasks. In multitasking, the point is that your computer has more than one task to do in the same time.
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['Protected and supervisor mode.', 'Allows disk access and file systems Device drivers Networking Security.', 'Program Execution.', 'Memory management Virtual Memory Multitasking.', 'Handling I/O operations.', 'Manipulation of the file system.', 'Error Detection and handling.', 'Resource allocation.']
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Since each core in a multi-core CPU is generally more energy-efficient, the chip becomes more efficient than having a single large monolithic core. This allows higher performance with less energy.
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Queues have the advantages of being able to handle multiple data types and they are both flexible and flexibility and fast. Moreover, queues can be of potentially infinite length compared with the use of fixed-length arrays.
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['Memory Management.', 'Processor Management.', 'Device Management.', 'File Management.', 'Security.', 'Control over system performance.', 'Job accounting.', 'Error detecting aids.']
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ADVANTAGES/DISADVANTAGES OF THREADS The first thread advantage is that they are cheaper to create in resources. A second advantage is threads allow parallel programming. For instance, one thread can be doing a computation, while another thread waits for I/O to complete.
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['Easier Collaboration. ... ', 'Better Scheduling. ... ', 'Better Communication with Clients. ... ', 'Delegate Tasks More Easily. ... ', 'Budget Management. ... ', 'Document Sharing and Access. ... ', 'Standardised Processes. ... ', 'Integrate New Team Members.']
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Basically, more cores and more threads will always mean better performance. Some productivity-oriented software, like video editing, will benefit more from multiple threads, while only certain games will take advantage of these features.
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['Deadlock prevention or avoidance - Do not allow the system to get into a deadlocked state.', 'Deadlock detection and recovery - Abort a process or preempt some resources when deadlocks are detected.']
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Multi threading improves performance by allowing multiple CPUs to work on a problem at the same time; but it only helps if two things are true: as long as the CPU speed is the limiting factor (as opposed to memory, disk, or network bandwidth) AND so long as multithreading doesn't introduce so much additional work (aka ...