The native just-in-time compiler in Python 3.15 can speed up code by as much as 20% or more, although it’s still experimental ...

In the world of programming, optimizing performance is a continuous pursuit, particularly when dealing with compute-intensive tasks. Developers often turn to Just-In-Time (JIT) compilation and ...

This sponsored post from Intel highlights how today’s enterprises can achieve high levels of parallelism in large scale Python applications using the Intel Distribution for Python with Numba. The ...

WIP - This repository attempts to implements the FlashAttention 2 algorithm as described in the research paper. The project provides two implementations: Numba-based Implementation: A Python version ...

Abstract: Python as programming language is increasingly gaining importance, especially in data science, scientific, and parallel programming. It is faster and easier to learn than classical ...

SciPy, Numba, Cython, Dask, Vaex, and Intel SDC all have new versions that aid big data analytics and machine learning projects. If you want to master, or even just use, data analysis, Python is the ...

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 ...

[Jcparkyn] clearly had an interesting topic for their thesis project, and was conscientious enough to write up a chunk of it and release it to the wild. The project in question is a digital pen that ...