Learn how to use Python’s async functions, threads, and multiprocessing capabilities to juggle tasks and improve the responsiveness of your applications. If you program in Python, you have most ...

Python's "multiprocessing" module feels like threads, but actually launches processes. Many people, when they start to work with Python, are excited to hear that the language supports threading. And, ...

Since the early 2000s, the CPU industry has shifted from raw clock speed to core counts. Pat Gelsinger famously took the stage in 2002 and gave the talk the industry needed, stating processors ...

Robert divided the multiprocessing world into four categories: “channel-based, aggregate-based, multi-domain, and feedback architectures”. Interestingly, he also talks about pipeline or streaming ...

SymmetricAL multiprocessing (SMP), a type of computing that uses more than a single processor, rests at one end of a continuum running from the tongue-twister Cache-Coherent Non-Uniform Memory ...

Python does include another native way to run a workload across multiple CPUs. The multiprocessing module spins up multiple copies of the Python interpreter, each on a separate core, and provides ...

Earlier this year I wrote two in-depth articles about the nature of multiprocessing on Android and specifically on ARM based CPUs. The first article debunked the myth that Android apps only use ...

I do this all the time. Post the results for each row to a multiprocessing.Queue, and spawn a single process that gets from the queue and writes to the file. It'll post some code when I get to work.

Networked multiprocessing is an asymmetric implementation mostly found in embedded architectures where the system typically has a network connection, shared bus, or shared mailbox for ...

An increasing number of multi-threaded embedded applications want to leverage multicore designs. Symmetric Multiprocessing (SMP) RTOS provides automatic load balancing of multiple threads in a ...