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Classifies and routes tasks to the appropriate ROCm-DS component (hipDF, hipVS, hipGRAPH, hipRAFT, hipMM) based on workload requirements.
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Based on SOC occupation classification
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 the HIP Memory Manager (hipMM) for advanced GPU memory pooling, efficient allocation, and data movement.
Utilizes hipRAFT for foundational, reusable GPU-accelerated primitives like clustering, dimensionality reduction, and statistical operations.
| name | router |
| description | Classifies and routes tasks to the appropriate ROCm-DS component (hipDF, hipVS, hipGRAPH, hipRAFT, hipMM) based on workload requirements. |
| tools | ["bash","python"] |
| inputs | ["task_description","source_files"] |
| outputs | ["selected_component","routing_rationale"] |
| tags | ["rocm","rocm-ds","routing"] |
Act as the traffic cop to decide which ROCm-DS component applies to a given data science task.
hipdf-pandas-porthipvs-annhipgraph-analyticshipraft-primitiveshipmm-memory-ops