| name | rocm-ds-smi-science-tools |
| description | Parent overview skill for ROCm Data Science (ROCm-DS) components and SMI tools. Provides guidance on routing workloads, compatibility triage, and component-specific tasks like hipDF, hipVS, and hipMM. |
ROCm-DS SMI Science Tools Overview
This is the parent skill for managing tasks related to ROCm Data Science (ROCm-DS) and AMD GPU-accelerated scientific computing tools.
When to use this skill
Use this skill to determine the appropriate nested skill to invoke when working with ROCm-DS components, porting data science workflows to ROCm, or handling installation and compatibility.
Nested Skills Directory
compatibility-triage: Verifies whether a requested ROCm-DS workflow is officially supported, source-build feasible, or experimental on the target system.hipdf-pandas-port: Migrates pandas-like workflows to hipDF and cudf.pandas style acceleration, auditing for unsupported features.hipgraph-analytics: Leverages GPU acceleration to process and analyze complex graph structures using hipGRAPH.hipmm-memory-ops: Utilizes the HIP Memory Manager (hipMM) for advanced GPU memory pooling, efficient allocation, and data movement.hipraft-primitives: Utilizes hipRAFT for foundational, reusable GPU-accelerated primitives like clustering, dimensionality reduction, and statistical operations.hipvs-ann: Selects, builds, benchmarks, and validates hipVS ANN indexes and query paths for ROCm-DS workloads.install-build: Handles installation and source compilation of ROCm-DS components via conda, PyPI, or source builds.pipeline-integration: Integrates ROCm-DS components into broader data science pipelines.benchmark-validate: Validates and benchmarks ROCm-DS component ports against their CPU baselines (e.g., pandas vs hipDF).tool-router: Classifies and routes tasks to the appropriate ROCm-DS component (hipDF, hipVS, hipGRAPH, hipRAFT, hipMM) based on workload requirements.
