Introduction to HPC Compute Nodes and Cluster Scheduling

High-Performance Computing (HPC) powers the world's most demanding scientific and data-driven tasks, but understanding what happens inside a cluster can feel overwhelming. To leverage these powerful systems, you must first grasp the core component that does the heavy lifting: the compute node. This text-only course guides you through the fundamental architecture of HPC compute nodes and the scheduling mechanisms that coordinate them. You will transition from a basic understanding of computer hardware to confidently explaining how clusters execute complex, parallel workloads. What you'll learn: - Understand the structural differences between standard servers and specialized HPC compute nodes - Explore the roles of CPUs, GPUs, memory, and high-speed interconnects in parallel processing - Learn how job schedulers like Slurm allocate resources and manage queue systems - Analyze how workloads are distributed across multiple nodes using MPI and shared memory - Discover modern trends in HPC, including containerized environments and hybrid cluster architectures - Practice writing basic job submission scripts through structured, written scenarios The course begins with foundational definitions of cluster architecture before diving into node hardware, memory hierarchies, and interconnects. You will then progress to the software layer, studying resource managers, scheduling policies, and modern execution environments. Designed for beginners, this course requires no prior experience with supercomputers or advanced systems administration. Start reading today to unlock the fundamentals of high-performance computing infrastructure.