Distributed computing with Python and MPI. ... You can certainly run them on your local computer, but setting up an MPI environment locally is not part of this tutorial. See the slide deck in the ...

Julia is compiled, not interpreted. For faster runtime performance, Julia is just-in-time (JIT) compiled using the LLVM compiler framework.At its best, Julia can approach or match the speed of C.

In this seminar, we will learn about the latest research in eXplainable AI (XAI) and its application in affective computing. This repository will contain a series of Jupyter Notebooks to give you ...

For developers keen on using programming language Python, there's a new tutorial that shows how to build a Python application in a Docker container using VS Code and Microsoft's VS Code Docker ...

Since 2005 he is at Forschungszentrum Jülich and has been teaching Scientific Python courses since 2011. Olav’s main interests are synergies between machine learning and physics-based simulations, ...

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.

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 ...