Pierre Glaser from INRIA gave this talk at EuroPython 2019. "Modern hardware is multi-core. It is crucial for Python to provide high-performance parallelism. This talk will expose to both ...

This course addresses scientists with a working knowledge of NumPy who wish to explore the productivity gains made possible by Python for HPC. "We will show how Python can be used on parallel ...

As computers become more and more powerful, scientific computing is becoming a more important part of fundamental research into how our world works. We can do more now than we could even imagine just ...

The two will work together to optimize parallel computing approaches for Python analytics using Snowflake, significantly improving analytics performance, ease of use, and governance while reducing ...

Introduction to parallel computing for scientists and engineers. Shared memory parallel architectures and programming, distributed memory, message-passing data-parallel architectures, and programming.

Figure 1. Ultra-high parallel optical computing integrated chip - "Liuxing-I". High-detail view of an ultra-high parallelism optical computing integrated chip – “Liuxing-I”, showcasing the ...

Microsoft’s Technical Computing initiative, announced Monday, will feature investments in parallel computing, technical computing in the cloud, and development of powerful technical computing ...

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