Parallel computing is an idea whose time has finally come, but not for the obvious reasons. Parallelism is a computer science concept that is older Moore’s Law. In fact, it first appeared in print in ...

Parallelism used to be the domain of supercomputers working on weather simulations or plutonium decay. It is now part of the architecture of most SoCs. But just how efficient, effective and widespread ...

Intel director James Reinders explains the difference between task and data parallelism, and how there is a way around the limits imposed by Amdahl's Law... I'm James Reinders, and I'm going to cover ...

Science fiction writers like to talk about parallel worlds. The idea that there may some replicate planet out there with a carbon copy version of everything down here on Earth, including a copy of you ...

Few technologies have a more interesting history than parallel computing, in which multiple processors in a single system combine to tackle a problem. A chronicle of events in parallel computing says ...

This sponsored post from Intel highlights how today’s enterprises can achieve high levels of parallelism in large scale Python applications using the Intel Distribution for Python with Numba. The ...

Data parallelism is an approach towards parallel processing that depends on being able to break up data between multiple compute units (which could be cores in a processor, processors in a computer, ...

As clock speeds for CPU’s have not been increasing as compared to a decade ago, chip designers have been enhancing the performance of both CPUs, such as the Intel Xeon and the Intel Xeon Phi ...

As I described here, Power BI can send SQL queries in parallel in DirectQuery mode and you can see from the Timeline column there is some parallelism happening here – the last two SQL queries ...

Take advantage of lock-free, thread-safe implementations in C# to maximize the throughput of your .NET or .NET Core applications. Parallelism is the ability to have parallel execution of tasks on ...