In-memory computing has been in development for a while; however, software has yet to be released or compatible with this computing architecture. Techxplore reports that Technion researchers have ...

In this video, Jan Meinke and Olav Zimmermann from the Jülich Supercomputing Centre present: High-Performance Computing with Python: Reducing Bottlenecks. This course addresses scientists with a ...

In this video from the ECSS Symposium, Abe Stern from NVIDIA presents: CUDA-Python and RAPIDS for blazing fast scientific computing. We will introduce Numba and RAPIDS for GPU programming in Python.

Generally speaking, we like our computing devices to remain on and active the whole time we’re using them. But there are situations, such as off-grid devices that run on small solar cells, where ...

What does it take to build a quantum computer? Lots of exotic supercooled hardware. However, creating a simulator isn’t nearly as hard and can give you a lot of insight into how this kind of computing ...

Already in its 4 th edition, Invent Your Own Computer Games with Python is pretty close to the ultimate how-to-learn python book. First, it combines an easy ramp up from expecting you to know ...