Threads exist within the same process; they can share memory and take less time to perform a "context switch;" they are part of the same program running in parallel processing units. Threads each have their own dedicated memory, and a shared memory area. Processes are entirely partitioned units of executing code. They cannot directly share memory with each other without assistance from the operating system, and are protected from each other by the operating system (in most modern operating systems, that is). They require more time to perform a context switch, as the entire task must be swapped out of the CPU instead of just the thread stack.
A thread is a thread of execution within a process. A process may be composed of one or more threads. Typically you will use the main thread (the entry point of the application) to create additional threads as required. Each thread has its own call stack (so the same function can execute in different threads) but shares the same address space as the process. When threads share the same resources, those resources must be synchronised such that when one thread is writing to a resource, all other threads are blocked from accessing that resource until the resource is unlocked by the writer. Failure to synchronise can result in data races, where a thread that is reading data might end up reading partially overwritten data. Care must also be taken to avoid deadlocks, where a thread attempts to lock a resource that can never be released. This can happen when a thread locks a resource and then attempts to lock that same resource a second time without releasing the first lock (this is particularly problematic in recursive functions). It can also happen when two separate threads attempt to lock multiple resources but do so in a different order.
Multiple threads help applications remain responsive even when the process is busy. For instance, if our application has a GUI, we would normally expect the user to be able to interact with the GUI even if the process is busy with a time-consuming task. To achieve this, our main thread simply monitors the message queue in an infinite loop. When a message to begin a task is encountered, the task can be delegated to a worker thread. Meanwhile, the main thread can continue to process other messages, which may include messages from the worker thread such as informing the main thread of its progress. Although multi-threading is by no means simple, by thinking in terms of independent or coordinated tasks that can execute concurrently, we can (generally) perform those tasks much quicker than we could by running them sequentially, and our application remains responsive.
Every process has at least one thread of execution, the main thread. However, threads can create new threads that operate concurrently with the main thread. Thus a process is a collection of one or more concurrent threads.
Every process allocated its own data memory but all threads shares same memory .
a thread represents a line of execution within a process. processes can be multithreaded, that is, they can have several different lines of execution occurring simultaneously.
Both process and thread are independent sequence of execution
The same address space.
No, a thread can't create aprocess, because the environment of the thread is a part of a process which created this thread.
A thread is basically a lightweight process.
synchornisation is the process where more than one thread can be accessed by accesssing the shared object of the class.By syncornisation we can have the communication between threads.if one thread works then another thread automatically stops
Processes do not execute, it is the threads within a process that actually execute. All processes have at least one thread of execution, the main thread. If the main thread falls from scope, the process ends, taking all threads with it. This can lead to undefined behaviour if the threads are not terminated gracefully from within the main thread before it falls from scope.
Shared memory and thread are not compareable since both of them relies to different technologies. A Shared memory is one of the methods to implement interprocess communication or IPC, by which different processes or tasks can access the same memory area, to share data between them. A thread or thread of execution is a mechanism by which a process can be split in to multiple simultaneously running pieces of code.
A thread is a sub process in other words one process can contain multiple threads.
The same metaphor: the difference of a person (thread) and a family (process) A process has at least 1 thread and may have many threads, while 1 thread must live within a process
No.
Basically no difference, except that process can use many threads; thread can use only one.
No. A thread is a part of a process, but a process can not be part of a thread. Processes are always "at the top."
No, a thread can't create aprocess, because the environment of the thread is a part of a process which created this thread.
Execution context within a process is called Thread. Threads run, process does not. Every process starts with one thread.
Process based is much time as comparison as thread based. as well as Thread based application is cost effective. Process based application has its own address space so it take more cost. Alok Gupta. India.
yes, because if process is terminated then its related thread has no work. After completion of process the kernel generates a thread that will cancelled the thread in order to save the time and memory of CPU.
A thread is basically a lightweight process.
synchornisation is the process where more than one thread can be accessed by accesssing the shared object of the class.By syncornisation we can have the communication between threads.if one thread works then another thread automatically stops
what process turn the yarn into thread