The exponential growth in computational needs across industries has created a demand for a modern guide that consolidates both theoretical and hands-on knowledge of high performance computing (HPC). High-Performance Computing: Applications and Frontiers offers a comprehensive and up-to-date reference to HPC. Sitting alongside the companion text, Foundations of High Performance Computing, High-Performance Computing: Applications and Frontiers builds on the fundamental knowledge to examine specialized tools, emerging trends including parallel and distributed computing, GPU programming, cloud-based HPC, and quantum computing, that define HPC's role in cutting-edge research and industry applications. The volume is tailored for advanced students, researchers, and professionals ready to explore advanced HPC programming, optimization, and applications, and features topics such as domain-specific implementations, machine learning, and the future of HPC. High-Performance Computing: Applications and Frontiers covers essential modern topics such as containerization, AI-driven HPC, hybrid/multi-cloud HPC strategies, or advancements in GPU and quantum computing. Readers will find High-Performance Computing: Applications and Frontiers is a current, versatile reference that blends theoretical principles with practical examples, preparing them to navigate both traditional and emerging HPC challenges effectively.