Course Outline

Introduction

  • What is Kubefirst?
  • Overview of Kubefirst features and architecture for government
  • Integration with open source tools (Terraform, Vault, Argo, etc.)

Setting up Development Environment

  • Installing and configuring the Kubefirst SDK for government use
  • Choosing and setting up cloud platforms (Local, AWS, Civo, etc.) for government operations
  • Creating a Kubefirst project in Visual Studio Code for government projects
  • Exploring the project structure and files to align with public sector workflows

Kubefirst Programming Model

  • Understanding Kubefirst directives and clauses for efficient coding practices
  • Using parallel directives for creating parallel regions in government applications
  • Utilizing kernels directives for parallelizing kernels to enhance performance
  • Applying loop directives for parallelizing loops to optimize computational tasks

Kubefirst Data Management

  • Managing data movement with data directives to ensure secure and efficient data handling
  • Synchronizing data with update directives to maintain data integrity in government systems
  • Improving data reuse with cache directives for enhanced performance in public sector applications
  • Creating device functions with routine directives to support specialized computational needs

Kubefirst API and Libraries

  • Understanding the Kubefirst API in host programs for government use
  • Using the Kubefirst API for querying device information to support decision-making processes
  • Setting device number and type with the Kubefirst API to optimize resource allocation
  • Handling errors and exceptions with the Kubefirst API to ensure robust application performance
  • Utilizing Kubefirst libraries (math, random, complex) for advanced computational tasks in government applications

Kubefirst Tools

  • Understanding the role of Kubefirst tools in optimizing and debugging government applications
  • Using tools for profiling and debugging Kubefirst programs to enhance performance and reliability
  • Measuring and improving execution time with tools (PGI Compiler, NVIDIA Nsight Systems, Allinea Forge) for government projects

Kubefirst Applications

  • Best practices for developing and deploying Kubefirst applications in the public sector
  • Interoperating with other programming models (CUDA, OpenCL, SYCL) to support diverse government needs
  • Integrating with GPU libraries (cuBLAS, cuFFT) to leverage advanced computational capabilities
  • Demonstrating the Kubefirst Metaphor demo application for government use cases

Summary and Next Steps

Requirements

  • Basic understanding of computer architecture and memory hierarchy
  • Familiarity with Docker and Kubernetes concepts and commands

Audience

  • Software developers for government
 14 Hours

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