Cutting corners: Faced with rising memory costs, Meta says it is reusing old DDR4 RAM in its servers rather than buying new hardware. The company revealed this week that it is repurposing DDR4 memory ...

PyPy, an alternative runtime for Python, uses a specially created JIT compiler to yield potentially massive speedups over CPython, the conventional Python runtime. But PyPy’s exemplary performance has ...

objects to be transferred between processes using pipes or multi-producer/multi-consumer queues objects to be shared between processes using a server process or (for ...

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Do you have CPU-bound work that just keeps slowing down your Trio event loop no matter what you try? Do you need to get all those cores humming at once? This is the library for you! The aim of ...

Python lets you parallelize workloads using threads, subprocesses, or both. Here's what you need to know about Python's thread and process pools and Python threads after Python 3.13. By default, ...

The ability to execute code in parallel is crucial in a wide variety of scenarios. Concurrent programming is a key asset for web servers, producer/consumer models, batch number-crunching and pretty ...

Multiprocessing, multithreading and evented I/O: the trade-offs in Web servers. A Web server needs to support concurrency. The server should service clients in a timely, fair manner to ensure that no ...