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 ...

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 ...

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 ...

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 ...

Most computers in the world tend to do one thing and then move on to the next thing, a series of sequential tasks. For decades, computer scientists have struggled to get machines to do multiple things ...

In recent years, the commoditization of the PC industry has concurrently driven down costs and produced significant innovation. One example of this is the introduction of multicore processors. For ...

A recent report found the Core i7 couldn't match the parallel processing performance of an Nvidia GPU, but Intel says rival took the findings out of context Intel tried to push back at coverage of a ...