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Course Outline

Introduction

  • Definition and purpose of Kubefirst
  • Summary of core capabilities and architectural components
  • Interoperability with open-source infrastructure tools (Terraform, Vault, Argo, etc.)

Development Environment Configuration

  • Installation and configuration of the Kubefirst SDK
  • Selection and setup of cloud infrastructure (Local, AWS, Civo, etc.)
  • Initiation of a Kubefirst project within Visual Studio Code
  • Analysis of project structure and file organization

Kubefirst Programming Model

  • Interpretation of Kubefirst directives and clause structures
  • Application of parallel directives for concurrent region creation
  • Utilization of kernel directives to enable parallel execution
  • Implementation of loop directives for iterative parallelization

Kubefirst Data Management

  • Orchestration of data transfer via data directives
  • Synchronization of data states using update directives
  • Optimization of data reuse through cache directives
  • Definition of device-specific functions via routine directives

Kubefirst API and Libraries

  • Integration of the Kubefirst API within host applications
  • Use of the Kubefirst API for device information retrieval
  • Configuration of device identifiers and types via the Kubefirst API
  • Management of error handling and exception protocols
  • Application of Kubefirst standard libraries (mathematics, randomization, complex numbers)

Kubefirst Diagnostic Tools

  • Functionality and utility of Kubefirst operational tools
  • Application of tools for performance profiling and debugging
  • Performance measurement and optimization using specialized tools (PGI Compiler, NVIDIA Nsight Systems, Allinea Forge)

Kubefirst Deployment and Integration

  • Best practices for software development and deployment lifecycle
  • Interoperability with alternative programming models (CUDA, OpenCL, SYCL)
  • Integration with specialized GPU libraries (cuBLAS, cuFFT)
  • Demonstration of the Kubefirst Metaphor reference application

Conclusion and Subsequent Actions

Requirements

  • Fundamental understanding of computer architecture and memory hierarchy
  • Working familiarity with Docker and Kubernetes concepts and command-line operations

Target Audience

  • Software developers
 14 Hours

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