Scientific Computing Masterclass: Parallel and Distributed

🌟 Welcome to the Scientific Computing Masterclass! 🌟

Course Headline

Unlock the Power of Parallel & Distributed Programming with HPC Systems!

Course Description

Are you ready to dive into the fascinating world of High Performance Computing (HPC)? Our Scientific Computing Masterclass: Parallel and Distributed course is meticulously crafted to provide you with an in-depth understanding of parallel & distributed programming and utilizing HPC systems, Supercomputers, and Cloud platforms like AWS for solving complex problems.

This comprehensive course is not just a theoretical journey; it's a practical exploration that will enable you to apply your knowledge across various domains such as Machine Learning, Deep Learning, Data Sciences, and Big Data.

What You'll Learn

• Historical Insights: Gain a perspective on the evolution of supercomputing and how HPC clusters have revolutionized computing.
• HPC Cluster Architecture: Understand the components that make up an HPC cluster, including login, compute, master, and storage nodes, and the role of HPC networks in the ecosystem.
• Cluster Management with PBS Pro: Learn to navigate PBS Pro's commands, job states, variables, and execute interactive and array jobs with ease.
• Slurm Mastery: Get hands-on experience with Slurm's command-line interface, job scheduling, and parallel processing capabilities for both CPU and GPU workloads.
• OpenMP Exploration: Discover OpenMP's basics, clauses, and constructs to optimize your code for multi-threaded execution.
• MPI Fundamentals: Master the Message Passing Interface (MPI) with simple 'hello world' examples and move on to more complex communication patterns and parallel algorithms.
• GPU Programming with CUDA: Dive into the world of GPUs and learn how to leverage CUDA for high-performance computing tasks. Our lessons are designed to demystify CUDA's memory models and provide clear, beginner-friendly guidance.
• AMD GPU & HIP: Explore parallel programming on AMD GPUs using ROCm and HIP with a focus on both basic concepts and advanced implementations.
• AWS HPC Clusters: Discover how to set up and manage HPC clusters on AWS, leveraging the cloud's scalable and elastic infrastructure to run your HPC applications without limits.

Live Class Experience

To complement your learning experience, we are proud to offer a series of Zoom live class lectures! These sessions will be hosted by the Scientific Programming School, where you can engage with the material and your peers in a dynamic, interactive environment.

Access to Interactive Learning Platform

Upon enrolling in this course, you'll gain free access to the interactive version of this course from the Scientific Programming School (SCIENTIFIC PROGRAMMING IO). This includes scientific code playgrounds that will allow you to experiment and apply what you've learned in real-time.

Join Our Community

Don't navigate your learning journey alone! Join our Q&A community for live support from both the instructor and fellow students. It's a vibrant, helpful space where you can get assistance anytime.

Course Value & Disclaimer

This course distills an entire university semester's worth of knowledge (valued at USD $2500-6000) into one single video course. The value you receive here is unparalleled, and we encourage you to take full advantage of the resources provided. Remember that while this course is a comprehensive guide, it serves as an overview and deeper exploration is encouraged for mastery.

Embark on your journey to mastering parallel & distributed programming with HPC systems today! 🚀

Enroll now and transform your coding skills from good to groundbreaking! 🎓✨