Abstract: In this article, we extend the CUDAMPILIB framework, which facilitates the programming of parallel applications for multi-node systems with one or more graphical processing units (GPUs) per ...

Learn how to visualize electric fields of parallel plates using Python. This step-by-step tutorial shows how to simulate field lines and understand electric field patterns—perfect for students, ...

Abstract: Traditional Real-Time Operating Systems (RTOS) often suffer from limited parallel performance, whereas thread monitoring in Linux-based systems remains challenging. To overcome these ...

Society for Industrial and Applied Mathematics is proud to present the twenty-first Conference on Parallel Processing for Scientific Computing. This series of conferences has played a key role in ...

Visualize the magnetic field of parallel current-carrying wires using Python. This short shows how to model and plot the field pattern, explore direction and strength, and build intuition for ...

Machine learning models are increasingly applied across scientific disciplines, yet their effectiveness often hinges on heuristic decisions such as data transformations, training strategies, and model ...

Unlock automatic understanding of text data! Join our hands-on workshop to explore how Python—and spaCy in particular—helps you process, annotate, and analyze text. This workshop is ideal for data ...

Defining a pipeline workers The central worker in a pipeline is a python generator (a function with a yield statement inside) that takes as its first argument another python iterator. See the code ...

Google DeepMind recently released GenAI Processors, a lightweight, open-source Python library built to simplify the orchestration of generative AI workflows—especially those involving real-time ...