High-Performance Computing (HPC) in Data Centers Training Course

Introduction

High-Performance Computing (HPC) is an innovation powering advanced research, data-intensive applications, and real-time analytics across industries. As data centers evolve to meet the growing demands of scientific computing, AI, and big data, HPC plays a critical role in delivering the performance, scalability, and efficiency required for next-generation workloads.

This course provides participants with a deep dive into the foundations, architectures, and operational strategies of HPC in data centers. It explores the design principles behind HPC clusters, parallel computing models, workload optimization, and the unique challenges of deploying high-performance systems at scale.

Participants will gain insights into the integration of HPC with cloud and hybrid models, enabling organizations to balance cost efficiency with high computational demand. Special focus is placed on workload scheduling, GPU acceleration, and advanced networking technologies that underpin HPC performance.

The training also emphasizes the importance of sustainability in HPC operations. As power and cooling demands intensify, participants will learn about energy-efficient HPC design, green data center practices, and strategies to align with net-zero goals while maintaining top-tier performance.

Emerging topics such as quantum computing integration, AI-accelerated HPC, and edge-based high-performance systems will be examined to equip learners with forward-looking skills. Real-world case studies illustrate how HPC is applied in healthcare, finance, manufacturing, and climate modeling to solve complex global challenges.

By the end of this program, participants will be able to design, optimize, and manage HPC infrastructures within data centers, ensuring scalability, cost-effectiveness, and innovation-driven performance that supports both business and research excellence.

Who Should Attend

• Data center managers overseeing HPC workloads
• IT infrastructure and operations leaders
• Cloud and hybrid solution architects
• Systems and network administrators
• Computational scientists and researchers
• Engineers deploying GPU/parallel workloads
• HPC project and program managers
• AI and machine learning specialists using HPC
• Energy and sustainability officers in data centers
• Consultants in HPC deployment and optimization

Duration

10 Days

Course Objectives

• Understand the fundamentals and architectures of HPC in data centers.
• Explore parallel computing models and workload distribution strategies.
• Design and configure high-performance clusters for various workloads.
• Optimize GPU-accelerated and CPU-based HPC systems.
• Learn advanced workload scheduling and resource management.
• Integrate HPC with cloud and hybrid infrastructures.
• Address challenges in power, cooling, and sustainability for HPC.
• Apply HPC in scientific, industrial, and business applications.
• Implement advanced storage and networking for HPC performance.
• Explore emerging technologies like quantum and AI-driven HPC.
• Ensure security and compliance in HPC environments.
• Develop long-term strategies for HPC scalability and innovation.

Comprehensive Course Outline

Module 1: Introduction to High-Performance Computing

• Defining HPC in modern data centers
• Evolution of HPC technologies
• Applications across industries
• Key performance metrics

Module 2: HPC Architectures

• Cluster computing models
• Shared vs. distributed memory systems
• GPU vs. CPU architectures
• HPC design principles

Module 3: Parallel Computing and Workload Distribution

• Parallelism concepts
• Message passing and threading models
• Workload decomposition strategies
• Performance bottlenecks

Module 4: Storage for HPC

• High-speed parallel file systems
• Data-intensive storage challenges
• Tiered storage solutions
• Emerging storage technologies

Module 5: Networking for HPC

• High-bandwidth interconnects
• Infiniband and Ethernet in HPC
• Low-latency communication
• Network topology optimization

Module 6: Workload Scheduling and Resource Management

• Job schedulers and batch systems
• Fair resource allocation strategies
• Containerization in HPC
• Case studies in workload optimization

Module 7: GPU and Accelerator Technologies

• Role of GPUs in HPC
• FPGA and ASIC accelerators
• AI/ML integration with HPC
• Performance tuning with accelerators

Module 8: Cloud and Hybrid HPC

• Cloud-based HPC services
• Hybrid HPC deployment models
• Cost and performance trade-offs
• Case studies in hybrid HPC

Module 9: Sustainability in HPC Operations

• Energy-efficient HPC designs
• Green cooling strategies
• Renewable power in HPC data centers
• Carbon footprint reduction methods

Module 10: Security and Compliance

• Securing HPC infrastructures
• Data privacy in HPC environments
• Compliance requirements (GDPR, HIPAA, etc.)
• Risk management frameworks

Module 11: AI and HPC Convergence

• AI-accelerated workloads in HPC
• HPC-driven deep learning
• Integrating AI in scientific computing
• Emerging AI-HPC case studies

Module 12: Quantum Computing and HPC Futures

• Basics of quantum computing
• Quantum-classical hybrid models
• Potential applications in HPC
• Industry outlook

Module 13: HPC in Research and Innovation

• HPC for climate modeling
• HPC in genomics and healthcare
• HPC in financial risk modeling
• Manufacturing and industrial use cases

Module 14: Operations and Management of HPC Systems

• Monitoring and observability in HPC
• Predictive maintenance for clusters
• Capacity planning and scaling
• Best practices for administration

Module 15: Case Studies and Best Practices

• Global HPC data center projects
• HPC in national labs and universities
• Lessons from industry leaders
• Failures and recovery strategies

Module 16: Future Trends in HPC and Data Centers

• Exascale computing evolution
• Edge-based HPC applications
• HPC in digital twins
• Roadmap for HPC innovation

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808

Training Venue

The training will be held at our Upskill Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808

Terms of Payment

Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.