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 ...

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 ...

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 ...

Hardware designs for parallel computing are as diverse as the problems they are asked to solve. One of the common categorizations include single/multiple instruction/data. A SIMD architecture ...