Parallel Computing in Python: Current State and Recent Advances

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 data-scientists and library developers the current state of affairs and the recent advances for parallel computing with Python. The goal is to help practitioners and developers to make better decisions on this matter.”

INRIA to Host Workshop on HPC Roadmap for Energy Industry

The HPC for Energy (HPC4E) project is organizing a workshop entitled HPC Roadmap for Energy Industry. Hosted by INRIA, the event takes place Feb 1 at the French Institute for Research in Computer Science and Automation. “Energy is one of the current priorities for EU-Brazil cooperation. The main objective is to develop high-performance simulation tools that go beyond the state-of-the-art to help the energy industry respond to both future energy demands and carbon-related environmental issues.”

Inria Joins OpenMP ARB

“Inria teams have been developing runtime systems and compiler techniques for parallel programming over several decades.” says Olivier Aumage, researcher at Inria’s team STORM, “By joining the OpenMP ARB today, Inria looks forward to contribute this expertise in making OpenMP meet the challenges of the Exascale era”.