Course Outline

Introduction

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

Setting up Development Environment

  • Installing and configuring Kubefirst SDK
  • Choosing and setting up cloud platforms (Local, AWS, Civo, etc.)
  • Creating a Kubefirst project in Visual Studio Code
  • Exploring the project structure and files

Kubefirst Programming Model

  • Understanding Kubefirst directives and clauses
  • Using parallel directives for creating parallel regions
  • Using kernels directives for parallelizing kernels
  • Using loop directives for parallelizing loops

Kubefirst Data Management

  • Managing data movement with data directives
  • Synchronizing data with update directives
  • Improving data reuse with cache directives
  • Creating device functions with routine directives

Kubefirst API and Libraries

  • Understanding Kubefirst API in host programs
  • Using Kubefirst API for querying device information
  • Setting device number and type with Kubefirst API
  • Handling errors and exceptions with Kubefirst API
  • Using Kubefirst libraries (math, random, complex)

Kubefirst Tools

  • Understanding the role of Kubefirst tools
  • Using tools for profiling and debugging Kubefirst programs
  • Measuring and improving execution time with tools (PGI Compiler, NVIDIA Nsight Systems, Allinea Forge)

Kubefirst Applications

  • Best practices for developing and deploying with Kubefirst
  • Interoperating with other programming models (CUDA, OpenCL, SYCL)
  • Integrating with GPU libraries (cuBLAS, cuFFT)
  • Demonstrating Kubefirst Metaphor demo application

Summary and Next Steps

Requirements

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

Audience

  • Developers
 14 Hours

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