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 ...

This type of parallel code is restricted to the size of the machine that you can build. To bypass this restriction, you can use message-passing parallel code. In this form, independent execution units ...

With Bodo, Snowflake customers will be able to use Python, along with popular packages such as Pandas, SciKit Learn and NumPy, yet vastly reduce time-to-value, as well as reducing compute costs by ...

The PicoCray project connects multiple Raspberry Pi Pico microcontroller modules into a parallel architecture leveraging an I2C bus to communicate between nodes.

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

AWS Parallel Computing Service builds from open-source foundations that customers know and have experience with, and delivers a managed Slurm experience with the reliability and availability of AWS.

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

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

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 ...