It is crucial for Python to provide high-performance parallelism. This talk will expose to both data-scientists and library developers the current state of affairs and the recent advances for parallel ...

The latest annual Python Developers Survey took the pulse of over 30,000 developers to see what makes the community tick in ...

Successful parallel programming Intel's James Reinders presents some recurring themes for developers looking to improve their game when it comes to programming parallel systems ...

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 ...

Parallel programming exploits the capabilities of multicore systems by dividing computational tasks into concurrently executed subtasks. This approach is fundamental to maximising performance and ...

Shared-memory programming is when all of the processors you are using are on a single box. This limits you as to how big your problem can be. When you use message passing, you can link together as ...

Programming languages: Python could soon overtake C and Java as most popular Python is battling for pole position, but Rust and TypeScript have made notable gains in popularity over the past year.

Nvidia has unveiled a new compiler source code to add new languages to its parallel programming and boost the adoption of GPUs.