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2.1.5

QuestionAnswer
Thinking Concurrently Single threaded programs Multiple threaded programs
Single threaded programs can be traced with 1 finger, jumping off to subprocedures sometimes
Multiple threaded programs would have multiple fingers tracing it at the same time.
Parallelism (a form of concurrent processing on multiple cores) multiple tasks, or multiple parts of a single task, are actually running simultaneously through multiple cores actually running at the same time
Concurrency when a multiple-threaded program is run by time slicing, meaning that they are in progress at the same time, but not being executed simultaneously A program is considered concurrent if it can support two or more actions in progress at the same time.
Concurrent processing pros Reactive programming Availability of services (a long-running task won’t delay short-running ones) Parallelism Controllability Overall No. tasks completed in a time frame increased Wasted processor time reduced
Reactive programming (concurrent processing) user can interact with applications while other tasks are running
Controllability (concurrent processing) a task requiring preconditions to proceed can be suspended and resumed later
Concurrent processing cons Safety (possibility of corrupting consistent state of a program) Deadlock Resource consumption
Deadlock (concurrent processing) where every thread is waiting for another to complete, so none can run
Resource consumption (concurrent processing) threads use up many resources and can become expensive
Created by: FlashCardFun!
 

 



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