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Duration 14 hours
Course Outline
Introduction
- Definition and scope of Kubefirst.
- A comprehensive overview of Kubefirst features and architectural design.
- Integration mechanisms with open-source tools such as Terraform, Vault, and Argo.
Development Environment Setup
- Installation and configuration of the Kubefirst SDK.
- Selection and setup of cloud platforms, including Local, AWS, and Civo.
- Creation of a Kubefirst project within Visual Studio Code.
- In-depth exploration of project structure and file organization.
Kubefirst Programming Model
- Analyzing Kubefirst directives and clauses to understand their function.
- Implementing parallel directives to define parallel execution regions.
- Applying kernels directives to parallelize kernel operations.
- Leveraging loop directives for loop parallelization.
Kubefirst Data Management
- Controlling data movement through data directives.
- Ensuring data synchronization via update directives.
- Enhancing data reuse strategies using cache directives.
- Defining device functions with routine directives.
Kubefirst API and Libraries
- Comprehending the Kubefirst API within host programs.
- Employing the Kubefirst API to query device-specific information.
- Configuring device number and type via the Kubefirst API.
- Managing errors and exceptions through the Kubefirst API.
- Utilizing Kubefirst libraries for mathematical, random, and complex number operations.
Kubefirst Tools
- Evaluating the role of specialized Kubefirst tools in the workflow.
- Applying tools for the profiling and debugging of Kubefirst programs.
- Optimizing execution time using performance analysis tools such as the PGI Compiler, NVIDIA Nsight Systems, and Allinea Forge.
Kubefirst Applications
- Adhering to best practices for developing and deploying with Kubefirst.
- Interoperability with other programming models including CUDA, OpenCL, and SYCL.
- Integration with GPU libraries such as cuBLAS and cuFFT.
- Demonstration of the Kubefirst Metaphor demo application.
Summary and Next Steps
Requirements
- Fundamental understanding of computer architecture and memory hierarchy.
- Proficiency with Docker and Kubernetes concepts and command-line interfaces.
Audience
- Developers.
Testimonials (2)
As i said before , for a person like me (no exp. ) this was a gateway to understanding features and functions with these programs/tools & etc. .
Patrick V. Duylovski - UBB + DZI (KBC GROUP)
Course - Docker and Kubernetes
basic understanding of container/kubernetes and how they interact features of the openshift plattform
