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T I M E S T A M P S ⏰ ▭▭▭▭▭▭ 0:00 - Introduction? 02:00 - Why learn Concurrent and Parallel Programming? 05:30 ...

Modern hardware keeps getting more cores — so why doesn't software scale with it? The answer lies in a deep, unavoidable ...

This talk was recorded at NDC TechTown in Kongsberg, Norway. #ndctechtown #ndcconferences #developer ...

Join the architects of CUDA education for a live discussion on the best paths to mastering GPU computing. From foundational ...

High-Performance Computing & Concurrency - Full C++ Course | Multithreading & Memory Models *Chapter Timestamp* ...

This video is a super-fast crash course for multiprocessing in Python.

"Kernels without borders: Parallel programming with KernelAbstractions.jl" by Tim Besard, presented at JuliaCon Local Paris 2025 ...

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

This is Brad Chamberlain's talk at PNW PLSE 2026 (https://pnwplse.org/), entitled "30 Years of Scalable Parallel Programming: So ...

... dedicated to parallel programming: https://feelpp.github.io/course-parallel-programming/parallel-programming/index.html.

Welcome to NVIDIA's Modern CUDA C++ Programming Class. You will learn how to program on the GPU using NVIDIA's latest ...

AI Engineer Paris 2025 → https://www.ai.engineer/paris Today's agents are best at small, atomic coding tasks. Much larger ...

BALISP, the Bay Area Lisp & Scheme Users Group https://balisp.org/ Sat 1 Nov 2025 Hacker Dojo Mountain View, CA Abstract We ...

Welcome to the first session of my course on parallel programming! In this video, I will introduce the fundamental concepts of ...

Welcome to the session 4.1 of my parallel programming course! In this video, we delve into the world of CUDA — NVIDIA's ...

https://cppcon.org --- Lazy and Fast: Ranges Meet Parallelism in C++ - Daniel Anderson - CppCon 2025 --- Recent advances in ...

OpenMP SC25 Tech Talk: Tim Mattson presents "Why we need OpenMP more than ever." Download the PDF of the slides for this ...

This lecture introduces the fundamental ideas behind parallel algorithm design and analysis. We begin with theoretical models ...

Instead, the talk will put them in the context of a programming model and make the choice of parallel programming features easier ...