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Beyond embarrassingly parallel processing problems, data must be shared between workers for them to do something useful.

Lisp has been around for six decades, promising simplicity and expressive power. Yet, despite its reputation as a secret weapon ...

Daria Mustafina - Efficient Time-Series Forecasting with Thousands of Local Models on Databricks - PyData Eindhoven 2025 ...

History Independence in Data Structures: Hanna Komlós Data-efficient Matrix Recovery and Operator Learning: Diana Halikias ...

Yang You, Presidential Young Professor at the National University of Singapore, presented at talk entitled "Fast and Efficient AI" at ...

Raylight is a high-performance distributed backend designed to accelerate diffusion models in ComfyUI using multiple GPUs.

A failed 5G rollout in a legendary forest forced us to rethink everything we knew about AI infrastructure. Instead of pushing data to ...

First lecture from day 4 of the "Introduction to Python and Using Python in an HPC environment" course which was given on ...

On October 25th, in SF we got together to discuss “What's missing in an open-source full-stack AI platform?” ​​The AI Plumbers ...

Discover the groundbreaking Huawei MatePad Pro 13.2 and HarmonyOS NEXT—Huawei's bold leap toward tech independence!

concurrentKanren: miniKanren for parallel execution (Video, miniKanren 2025) Sjoerd Dost (None) Abstract: Concurrent logic ...

Andy Pavlo (https://www.cs.cmu.edu/~pavlo/) Slides: https://15445.courses.cs.cmu.edu/fall2025/slides/23-distributed1.pdf Notes: ...

This lecture introduces data parallelism, covering theoretical background and simple examples. It focuses on data parallel ...

More and more use cases in parallel and distributed programming are testing the limits of closures. Serializing/pickling ...

Don't miss out! Join us at our next Flagship Conference: KubeCon + CloudNativeCon events in Amsterdam, The Netherlands ...