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EuroPython 2025 — South Hall 2A on 2025-07-16] *Parallel programming and Cython by David Woods* ...

We look at important concepts and some theory behind parallel processing, then look at common problems encountered with ...

Slides PDF: http://15445.courses.cs.cmu.edu/fall2017/slides/14-parallel.pdf Notes PDF: ...

This however is only one way to do parallel processing. Another way is to use parallel tracks or buses to accomplish the same ...

Andy Pavlo (https://www.cs.cmu.edu/~pavlo/) Slides: https://15445.courses.cs.cmu.edu/fall2025/slides/14-queryexecution2.pdf ...

... CPU-bound high throughput applications, IO-bound services, or simply curious about the future of parallel processing in Python, ...

Slides PDF: https://15445.courses.cs.cmu.edu/fall2018/slides/14-parallel.pdf Lecture Notes: ...

"Running Python code in parallel and asynchronously [EuroPython 2017 - Talk - 2017-07-11 - Anfiteatro 2] [Rimini, Italy] My ...

"Python's Parallel Programming Possibilities - 4 levels of concurrency [EuroPython 2019 - Talk - 2019-07-10 - Boston] [Basel, CH] ...

This month Tsung-Wei Huang, an Assistant Professor at the University of Utah, will present Taskflow. The Taskflow project ...

Presented by Christopher Maynard.

by Frank McQuillan At: FOSDEM 2019 https://video.fosdem.org/2019/UA2.118/dl_parallel_db.webm In this session we will discuss ...

Many research computing projects involve workloads of large amounts of relatively short, independent computations.

This is video 9 of the Haskell by Example series which looks how to develop and application for binary satellite data processing.

From these low-level interfaces emerged higher-level parallel processing libraries, such as concurrent.futures, joblib and loky ...

Check out http://www.pgconf.us/2015/event/63/ for the full talk details. Currently Postgres does not support transparent parallel ...

Speaker: Dilum Navanjana (@dilumn_) Website: http://rubyconf.my Produced by Engineers.SG.

It will start with an introduction to using built-in Julia primitives for parallel processing, such as pmap, @parallel, remotecall, spawn ...

Before we get to how to run parallel jobs, let's talk about the different forms, since a person must keep these straight in order to run ...

Massively Parallel Processing with Procedural Python.