YoVDO

Bridging Domain Science and HPC with Julia

Offered By: NHR@FAU via YouTube

Tags

Julia Courses Physics Courses Scientific Computing Courses High Performance Computing Courses GPU Computing Courses Numerical Computing Courses LLVM Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the potential of Julia programming language for high-performance computing (HPC) in this 35-minute conference talk by Dr. Carsten Bauer from the Paderborn Center for Parallel Computing. Gain insights into Julia's unique features that make it attractive for both domain scientists and HPC practitioners. Learn about its rich scientific ecosystem, dynamic features, and LLVM-based compiler that enables state-of-the-art performance on modern CPUs and GPUs. Discover the synergies and challenges of using Julia in HPC environments, and hear about the language's current state and future prospects from the perspective of a physicist, HPC consultant, and long-time Julia community member. Examine notable international Julia HPC projects and understand how this modern programming language bridges the gap between specialized domain science and high-performance computing.

Syllabus

HPC Café: Bridging Domain Science and HPC with Julia


Taught by

NHR@FAU

Related Courses

Моделирование биологических молекул на GPU (Biomolecular modeling on GPU)
Moscow Institute of Physics and Technology via Coursera
LLM Server
Pragmatic AI Labs via edX
AI Infrastructure and Operations Fundamentals
Nvidia via Coursera
Open Source LLMOps Solutions
Duke University via Coursera
Deep Learning - Computer Vision for Beginners Using PyTorch
Packt via Coursera