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1、., the maximum number of threads on a 32-bit machine, 1023 per core.
2、., the maximum number of threads on a 64-bit machine, 32,768 threads per core.
3、., the maximum number of threads, 250 per core.
4、., maximum number of threads, 25 per core.
The default minimum number of threads is 1 per core. In a server-side environment, for example, the minimum number of threads in IIS will be larger, possibly more than 50.
A thread pool is a form of multithreaded processing in which tasks are added to a queue during processing and then automatically started after a thread is created. Thread pool threads are all background threads. Each thread uses the default stack size, runs at the default priority, and is in a multithreaded unit.
If a thread is idle in managed ** (e.g., waiting for an event), another worker thread is inserted into the thread pool to keep all plex processors busy. If all thread pool threads are always busy, but the queue contains pending work, the thread pool will create another worker thread after a period of time, but the number of threads will never exceed the maximum. Threads that exceed the maximum can be queued, but they don't start until the other threads are finished.
Components: It's become commonplace for server programs to respond to customer requests using threading technology, and you may think it's efficient, but have you ever thought about optimizing the way you use threads? This article will show you how server programs can use thread pools to optimize boring performance and provide a simple thread pool implementation.
1. Thread Pool Manager: Used to create and manage thread pools.
2. Workthread: Thread in the thread pool.
3. Ren Qin Zheng bent interface (task): the interface that must be implemented for each task to be executed by the worker thread scheduling task.
4. Task queue: used to store tasks that are not processed. Provides a buffering mechanism.
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The number of threads is the number of cores, just like the human brain, the number of cores 2 means that the CPU has two brains. The more brains you have, the faster you can solve problems. The higher the number of cores of the CPU, the higher the processing speed.
Core number 2 is colloquially called a dual-core CPU. But since the advent of hyper-threading technology, one core can have two threads at the same time. Increases CPU performance by 40 percent.
Suppose that the data is transmitted from the server to the user, the user and the server are compared to two small islands, and the number of threads is compared to the bridge connecting the two islands, the more bridges are built, the more data is transmitted per unit time, but if the bridge is built more than the number that both parties can bear, the user will not be able to accept the data of other servers, and the server will not be able to transmit data to other users, so the number of threads depends on the specific situation of the server and the user.
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The number of cores of a CPU indicates the number of tasks that the CPU can execute at the same time, and the number of tasks that can be executed at the same time is doubled when hyper-threading is supported. The number of threads on the CPU indicates the number of tasks that the CPU can perform at the same time.
There are two kinds of connections: the CPU supports hyper-threading technology, then the number of threads is 2;Hyper-threading is not supported, and the number of threads is the number of cores.
The number of threads and hyper-threading technology are two concepts, the number of threads is the actual existence, and the hyper-threading is the technical standard of the CPU.
Advantages and disadvantages of hyperthreading:
First, the advantages. 1. Multitasking can be carried out at the same time, and the software can enjoy the performance improvement brought by hyper-threading technology;
2. When users run more than two software at the same time, they can give full play to the efficiency advantages of hyper-threading technology.
Second, the shortcomings. 1. When running single-threaded software, hyper-threading technology will reduce system performance;
2. Because many workstation software has been optimized for the Windows2000 operating system, the workstation rent-free method using Windows2000 fully utilizes the advantages of hyper-threading technology;
3. When two threads need a resource at the same time, one of the threads must give up the resource to suspend it temporarily until these resources are idle. Therefore, the performance of hyperthreading is not equal to the performance of two CPUs.
The above content refers to: Encyclopedia - Number of threads.
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The number of computer threads refers to the number of threads available on the CPU processor
Threads are one of the basic units in operating systems and software programs, and they are capable of performing the tasks of the processor in parallel. The higher the number of threads, the higher the performance of the computer, but the exact amount of effect varies depending on the situation.
The number of threads is also one of the measures of a computer's performance, especially when the design task requires not only a single core with a high frequency, but also multiple cores to improve image generation, rendering speed, and CPU-intensive professional applications, such as rendering** and 3D models, the key role of thread count becomes apparent.
The higher the number of threads, the more tasks each processor can handle at the same time, increasing the processing speed of the computer. But it's also important to know that too many threads aren't always better, because increasing the number of cores in the processor will also increase the amount of energy and heat generated by the computer.
The number of threads is also one of the more important considerations when choosing to buy a computer. If it is usually used for office and daily use, the performance of the quad-core grinding and eight-thread is sufficient. For professional video production and modeling, especially in large projects, the CPU of a single composite thread is too slow.
The role of the number of computer threads
1. Improve running speed: Threads are the smallest execution unit in a computer, and the more threads there are, the more computing tasks the CPU can handle, and the faster the running speed will be.
2. Improve multitasking ability: When multitasking, each task can be processed by an independent thread, which will not cause lag or delay.
3. Accelerate CPU-intensive tasks: For example, work such as 3D modeling and other work usually require a lot of calculations, and the more threads you have, the faster these tasks can be completed, thereby improving work efficiency.
4. Save computer overhead: the number of threads can be adjusted according to the negative volt blind load, when the computer does not need to process a large number of tasks, only the necessary threads are used, so as to save energy and reduce the amount of heating.
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