메뉴
Captures hthreads kernel programming patterns for MT-3000, including thread partitioning, kernel structure, and device-side constraints. Use when generating or reviewing __global__ kernels and task partition logic.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Provides MT-3000 AM vectorization interfaces and transformation templates. Use when converting scalar kernels to vector kernels, selecting vector templates, or fixing AM vectorization compile issues.
Defines compile-test-feedback loops for MT-3000 kernel generation, including retry polling, error extraction, and report output. Use when validating generated AM/SM code with compiler diagnostics and iterative fixes.
Provides MT-3000 platform background, compute-memory model, and optimization constraints. Use when analyzing MT-3000 kernels, deciding AM/SM optimization boundaries, or reasoning about memory hierarchy and data movement.
Provides SM cache optimization strategy selection and templates for CACHEd, CACHEs, and CACHEb. Use when optimizing scalar kernels with on-chip cache or when choosing cache strategy by memory access pattern.
| name | hthreads-kernel-programming |
| description | Captures hthreads kernel programming patterns for MT-3000, including thread partitioning, kernel structure, and device-side constraints. Use when generating or reviewing __global__ kernels and task partition logic. |
生成或改写 __global__ 核函数时，固定遵循：
get_thread_id() / get_group_size()。start/end。