Tuning Tightly Coupled HPC Applications on Azure HB and HC VMs

Running complex scientific and engineering simulations in the cloud requires specialized infrastructure and precise performance tuning. This written course guides you through the process of setting up and optimizing tightly coupled high-performance computing (HPC) workloads in the cloud. You will transition from understanding basic cloud computing to deploying, scaling, and tuning high-performance MPI applications on specialized hardware. You will gain a deep understanding of how to leverage InfiniBand networking and high-core-count virtual machines to maximize performance. What you'll learn: Understand the fundamentals of tightly coupled HPC workloads and cloud architecture; Configure Azure HB, HBv2, and HC-series virtual machines for optimal performance; Set up InfiniBand networking and Message Passing Interface (MPI) libraries; Apply performance tuning techniques to minimize latency and maximize throughput; Manage cluster orchestration using tools like CycleCloud and Slurm; Analyze and troubleshoot common bottleneck scenarios in cloud-based HPC clusters. The course begins with foundational concepts of HPC and virtual machine architecture before moving into configuration of MPI libraries and InfiniBand networking. You will then explore advanced optimization strategies and cluster orchestration techniques through clear, step-by-step written explanations and practical command-line examples. This course is designed for system administrators, engineers, and developers looking to transition their on-premises HPC workloads to the cloud. No prior cloud HPC experience is required, though a basic familiarity with Linux command-line tools is recommended. Start optimizing your cloud-based high-performance computing workloads today.