IEEE

Automated Models for Predicting Software Defects in Hybrid Message Passing Interface (MPI) and Open Multi-Processing (OpenMP) Parallel Programs Using Deep Learning

Abstract: Hybrid Message Passing Interface (MPI) and Open Multi-Processing (OpenMP) parallel programs are pivotal for scalability and efficiency in high-performance computing (HPC), especially as ...
GitHub

Can Large Language Models Predict Parallel Code Performance?

We took this version of HeCBench and are modifying it to build the CUDA and OMP codes to gather their roofline performance data. So far we have a large portion of the CUDA and OMP codes building ...
EurekAlert!

Scaling up computing education in a time of AI

TACC is helping students master leading technologies such as AI through a series of academic courses aimed at thriving in a changing computational landscape. TACC's Joe Stubbs lectures on intelligent ...
IEEE

Comprehensive Benchmarking of Parallel Programming Models: A Multi-Dimensional Performance Analysis

Abstract: Parallel programming is an important part of High-Performance Computing (HPC). It helps run large scientific simulations, artificial intelligence (AI) tasks, and big data applications ...
Hosted on MSN

Visualizing the magnetic field of parallel wires using Python

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 ...