Tired of out-of-memory errors derailing your data analysis? There's a better way to handle huge arrays in Python.

More from Mark Russinovich’s Ignite 2025 sessions, detailing software developments that underpin Microsoft’s move to ...

ABSTRACT: Accurate prediction of water travel time in drip irrigation systems is essential for efficient water and nutrient delivery. This study develops a predictive model for travel time by ...

Much recent work on distributed quantum computing have focused on the use of entangled pairs and distributed two qubit gates. But there has also been work on efficient schemes for achieving ...

The University Research Computing Facility (URCF) is pleased to announce our Fall 2025 workshop series, which will run from November 11 - November 20. These workshops will teach the fundamentals of ...

Abstract: Geo-distributed computing, a paradigm that assigns computational tasks to globally distributed nodes, has emerged as a promising approach in cloud computing, edge computing, cloud-edge ...

During a recent earnings call with Tesla investors, CEO Elon Musk suggested "bored" Tesla vehicles could be repurposed into a sort of Folding@home distributed computing system. The idea would be to ...

Neel Somani, a researcher and technologist with a strong foundation in computer science from the University of California, Berkeley, focuses on advancements of distributed computing across personal ...

The PyTorch team at Meta, stewards of the PyTorch open source machine learning framework, has unveiled Monarch, a distributed programming framework intended to bring the simplicity of PyTorch to ...

With Render Network, filmmakers in Artechouse's Submerge exhibit in NYC can tap into massive GPU power—turning highly ambitious concepts into vivid reality. I'm the Executive Editor, Features & ...

The explosion of AI companies has pushed demand for computing power to new extremes, and companies like CoreWeave, Together AI and Lambda Labs have capitalized on that demand, attracting immense ...