And how will they play a greater role in the future? Is it safe to say that once the limitations of a given processor are reached, Multiprocessing will extend it functionality further? How about ...

Digital signal processing has been melded to medical-imaging tasks almost from the outset. The biggest medical applications for DSP have been in meeting the image-processing requirements for computed ...

Driving individual processor performance to the limit in a given implementation technology is never easy or efficient. Faster clocks, deeper pipelines and bigger caches carry silicon area and power ...

High Performance Computing (HPC) and parallel programming techniques underpin many of today’s most demanding computational tasks, from complex scientific simulations to data-intensive analytics. This ...

As manufacturing processes transition to more advanced technologies at 90nm and below, design signoff requirements become increasingly more rigorous and time-consuming. With each step to more advanced ...

In this video from EuroPython 2019, Pierre Glaser from INRIA presents: Parallel computing in Python: Current state and recent advances. Modern hardware is multi-core. It is crucial for Python to ...

Dive into how symmetric multiprocessing (SMP), and asymmetric multiprocessing (ASMP), often referred to as virtualization, or hypervisor technology, can improve your machine controller. May 28, 2021 ...

I'm running some simulations using the joblib library. For that, I have some number of parameter combinations, each of which I run 100,000 times. I'd now like to write the result of each simulation to ...