By combining asynchronous I/O with a shared-nothing architecture, PyParallel research project is able to execute code in a parallel context faster than it can using CPython’s normal interpreter ...

ipyparallel ipyparallel, also known as IPython Parallel, is yet another tool for parallel computing in Python. However, it's more than just parallel Python, it's parallel IPython, and this adds ...

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 ...

Python Parallel Task Performance Tester A testing framework for evaluating performance scaling of different computational tasks when parallelized in Python.

In this session, Kundurthy will cover how Data Parallel Python can be used to develop high-performing code for ALCF’s upcoming Auroraexascale supercomputer. The talk will introduce Numba-dppy and show ...

Building on top of hyperparameter optimization, it unlocks new capabilities around ensembles of models for improved accuracy and uncertainty quantification. All of these organized around efficient ...

The Python script drives a pin on the parallel port high, triggering the Larson Scanner’s animation. Every minute, the script checks the status of FFMPEG and continues to hold the pin high until ...