Modern computing has many foundational building blocks, including central processing units (CPUs), graphics processing units (GPUs) and data processing units (DPUs). However, what almost all modern ...

Python is powerful, versatile, and programmer-friendly, but it isn’t the fastest programming language around. Some of Python’s speed limitations are due to its default implementation, CPython, being ...

NVIDIA’s CUDA is a general purpose parallel computing platform and programming model that accelerates deep learning and other compute-intensive apps by taking advantage of the parallel processing ...

Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable ...

One particular frustration with the UNIX shell is the inability to easily schedule multiple, concurrent tasks that fully utilize CPU cores presented on modern systems. The example of focus in this ...

Modern video-processing systems, like multichannel digital video recorders/analyzers used in security systems, run multiple applications such as image processing, compression and content analysis ...

According to several recent market studies, roughly 750 million cellular handsets were shipped in 2006. This quantity is likely to increase to more than one billion handsets by 2011. These numbers are ...

According to a recent Jefferies report, the fourth wave of computing has started and it is being driven by the adoption of IoT with parallel processing as the solution. Tectonic shifts in computing ...

Programming parallel processors isn't easy, especially when the number of processing elements is large. No single technique applies to all situations. But in its Storm-1 architecture, Stream ...

Intel tried to push back at coverage of a recently published paper that found its Core i7 processors couldn’t match the parallel processing performance of an Nvidia GPU, saying its rival took the ...