multithreading

问题 Being new to using concurrency, I am confused about when to use the different python concurrency libraries. To my understanding, multiprocessing, multithreading and asynchronous programming are part of concurrency, while multiprocessing is part of a subset of concurrency called parallelism. I searched around on the web about different ways to approach concurrency in python, and I came across the multiprocessing library, concurrenct.futures' ProcessPoolExecutor() and ThreadPoolExecutor(), and

问题 I have a server application running under Cent OS. The server answers many requests per second but it repeatedly crashes after each hour or so and creates a crash dump file. The situation is really bad and I need to find out the crash cause as soon as possible. I suspect that the problem is a concurrency problem but I'm not sure. I have access to the source code and crash dump files but I don't know how to use the crash dumps to pin point the problem. Any suggestions are much appreciated. 回答1

问题 I'm working on a mini windows process explorer in C, I have a handle to a thread. How can I retrieve starting address of that thread? Something like this: 回答1: Such question was already asked a few days ago. Here is a sample solution: DWORD WINAPI GetThreadStartAddress(HANDLE hThread) { NTSTATUS ntStatus; HANDLE hDupHandle; DWORD dwStartAddress; pNtQIT NtQueryInformationThread = (pNtQIT)GetProcAddress(GetModuleHandle("ntdll.dll"), "NtQueryInformationThread"); if(NtQueryInformationThread ==

问题 So I've read this nice article about asynch threads in python. Tough, the last one have some troubles with the GIL and threads are not as effective as it may seems. Luckily python incorporates Multiprocessing which are designed to be not affected by this trouble. I'd like to understand how to implement a multiprocessing queue (with Pipe open for each process) in an async manner so it wouldn't hang a running async webserver . I've read this topic however I'm not looking for performance but

问题 So I've read this nice article about asynch threads in python. Tough, the last one have some troubles with the GIL and threads are not as effective as it may seems. Luckily python incorporates Multiprocessing which are designed to be not affected by this trouble. I'd like to understand how to implement a multiprocessing queue (with Pipe open for each process) in an async manner so it wouldn't hang a running async webserver . I've read this topic however I'm not looking for performance but

问题 As it currently stands, this question is not a good fit for our Q&A format. We expect answers to be supported by facts, references, or expertise, but this question will likely solicit debate, arguments, polling, or extended discussion. If you feel that this question can be improved and possibly reopened, visit the help center for guidance. Closed 7 years ago . I'm looking for some nice real-world examples of the ABA-problem causing trouble in multithreaded code. The ABA-problem occurs in

问题 As it currently stands, this question is not a good fit for our Q&A format. We expect answers to be supported by facts, references, or expertise, but this question will likely solicit debate, arguments, polling, or extended discussion. If you feel that this question can be improved and possibly reopened, visit the help center for guidance. Closed 7 years ago . I'm looking for some nice real-world examples of the ABA-problem causing trouble in multithreaded code. The ABA-problem occurs in

问题 As it currently stands, this question is not a good fit for our Q&A format. We expect answers to be supported by facts, references, or expertise, but this question will likely solicit debate, arguments, polling, or extended discussion. If you feel that this question can be improved and possibly reopened, visit the help center for guidance. Closed 7 years ago . I'm looking for some nice real-world examples of the ABA-problem causing trouble in multithreaded code. The ABA-problem occurs in

问题 When I create multiple threads from a process, then does each thread have its own stack, or is it that they share the stack of their parent process. What happens when a thread makes a system call? Do threads also maintain their own kernel stack like processes? 回答1: Yes threads have their own stacks and their own kernel stacks (e.g. linux). When a thread makes a system call, you trap into kernel mode (from user mode), you pass the arguments to the kernel, the arguments are checked, the kernel

问题 When I create multiple threads from a process, then does each thread have its own stack, or is it that they share the stack of their parent process. What happens when a thread makes a system call? Do threads also maintain their own kernel stack like processes? 回答1: Yes threads have their own stacks and their own kernel stacks (e.g. linux). When a thread makes a system call, you trap into kernel mode (from user mode), you pass the arguments to the kernel, the arguments are checked, the kernel