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A HTTP/1.1-compliant, WSGI thread-pooled webserver. [4] Typically, CherryPy itself takes only 1–2 ms per page. [5] [6] Support for any other WSGI-enabled web server or adapter, including Apache, IIS, lighttpd, mod_python, FastCGI, SCGI, and mod_wsgi. A native mod_python adapter. Multiple HTTP servers (e.g. ability to listen on multiple ports ...
The operating system allocates a stack for the thread containing the number of bytes specified by stack_size. If the value of stack_size is zero, the operating system creates a stack the same size as that of the main thread. [1]
Deciding the optimal thread pool size is crucial to optimize performance. One benefit of a thread pool over creating a new thread for each task is that thread creation and destruction overhead is restricted to the initial creation of the pool, which may result in better performance and better system stability. Creating and destroying a thread ...
A few interpreted programming languages have implementations (e.g., Ruby MRI for Ruby, CPython for Python) which support threading and concurrency but not parallel execution of threads, due to a global interpreter lock (GIL). The GIL is a mutual exclusion lock held by the interpreter that can prevent the interpreter from simultaneously ...
Schematic representation of how threads work under GIL. Green - thread holding GIL, red - blocked threads. A global interpreter lock (GIL) is a mechanism used in computer-language interpreters to synchronize the execution of threads so that only one native thread (per process) can execute basic operations (such as memory allocation and reference counting) at a time. [1]
In computer science, threaded code is a programming technique where the code has a form that essentially consists entirely of calls to subroutines.It is often used in compilers, which may generate code in that form or be implemented in that form themselves.
Depending on the OS, a process may be made up of multiple threads of execution that execute instructions concurrently. [1] [2] While a computer program is a passive collection of instructions typically stored in a file on disk, a process is the execution of those instructions after being loaded from the disk into memory. Several processes may ...
One thread may be waiting for a client to reply, and another may be waiting for a database query to execute, while the third thread is actually processing Python code. However, the GIL does mean that CPython is not suitable for processes that implement CPU-intensive algorithms in Python code that could potentially be distributed across multiple ...