القائمة
Utilizes the HIP Memory Manager (hipMM) for advanced GPU memory pooling, efficient allocation, and data movement.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Placeholder skill description.
Verifies whether a requested ROCm-DS workflow is officially supported, source-build feasible, or experimental on the target system.
Migrates pandas-like workflows to hipDF and cudf.pandas style acceleration, auditing for unsupported features.
Leverages GPU acceleration to process and analyze complex graph structures using hipGRAPH. Note: hipGRAPH is early access.
Utilizes hipRAFT for foundational, reusable GPU-accelerated primitives like clustering, dimensionality reduction, and statistical operations.
Selects, builds, benchmarks, and validates hipVS ANN indexes and query paths for ROCm-DS workloads.
| name | hipmm-memory-ops |
| description | Utilizes the HIP Memory Manager (hipMM) for advanced GPU memory pooling, efficient allocation, and data movement. |
| tools | ["bash","python"] |
| inputs | ["memory_profile","pipeline_components"] |
| outputs | ["memory_optimization_report"] |
| tags | ["rocm","rocm-ds","hipmm","memory"] |
Provide advanced GPU memory management utilities to support various libraries that form part of ROCm-DS, mitigating OOM errors and fragmentation.
