dtk-compat

Evaluate application compatibility with Hygon DTK across OS, kernel, and CUDA APIs.

Updated Aug 27, 2026

Search Tags:#compatibility #migration #cuda #system evaluation #dtk #application porting

Ready to run

npx skills add https://github.com/dongg622/china-ai-chip-skill --skill dtk-compat

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: dtk-compat
Source: https://github.com/dongg622/china-ai-chip-skill/tree/main/Hygon/dtk-compat
Command: npx skills add https://github.com/dongg622/china-ai-chip-skill --skill dtk-compat

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides comprehensive guidelines and assessments for evaluating application compatibility with Hygon's DTK platform, streamlining migration efforts.

Core Features & Use Cases

Compatibility Evaluation: Assists developers in reviewing OS kernel, CUDA API, and library support for application porting.
Migration Planning: Offers compatibility matrices that help plan software and hardware upgrades or changes.
Use Case: Use this Skill to verify if your existing CUDA-based application can be migrated to Hygon DTK without code modification.

Quick Start

Consult the compatibility list and API support details to prepare your application for a smooth transition.

Frequently Asked Questions about dtk-compat

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I evaluate CUDA application compatibility for Hygon DTK migration?▼

To evaluate CUDA application compatibility for Hygon DTK migration, review the OS kernel, CUDA API, and library support matrices to verify if your existing code can transition without modification.

Can I port my existing CUDA-based application to Hygon DTK without code modification?▼

You can port an existing CUDA-based application to Hygon DTK without code modification if your target environment meets the supported OS versions, kernel, and library compatibility requirements.

What OS and kernel versions are supported for application porting to Hygon DTK systems?▼

Application porting to Hygon DTK systems requires adherence to specific supported OS versions and kernel configurations, which are detailed in the provided compatibility matrices for reliable deployment.

How do I plan a hardware upgrade and software migration to Hygon DTK?▼

Plan a hardware upgrade and software migration to Hygon DTK by consulting compatibility lists and API support details to assess system readiness and prepare your application for a smooth transition.

What are the limitations when migrating CUDA APIs to Hygon DTK?▼

Limitations when migrating CUDA APIs to Hygon DTK arise from unsupported OS versions, incompatible kernels, or missing library support, requiring adherence to the compatibility matrix for successful deployment.