High Performance Computing Fundamentals

Many modern challenges, from scientific simulations to large-scale data processing, demand immense computational power. High Performance Computing (HPC) provides the underlying infrastructure to tackle these complex tasks efficiently. This course will guide you through the core concepts of HPC, enabling you to understand how these powerful systems are designed and how they are leveraged in today's cloud-native, containerized environments for scalable and efficient computation. What you'll learn: Understand the fundamental concepts and architecture of High Performance Computing. Learn how parallel processing, distributed computing, and cluster management optimize performance. Explore the role of containers and container orchestration (e.g., Kubernetes) in modern HPC deployments. Apply basic principles of resource management and job scheduling within HPC clusters. Grasp the concepts of hybrid cloud strategies for scalable HPC workloads. Practice analyzing common HPC use cases and their implementation strategies. The course begins with an introduction to HPC basics, then progresses through different architectural components, parallelism techniques, and finally delves into contemporary deployment patterns using containers and cloud infrastructure. This course is designed for absolute beginners with no prior experience in High Performance Computing or cloud-native technologies. No specific technical prerequisites are required. Start your journey into the world of high-performance computing and unlock new possibilities for demanding workloads.