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hipdf-pandas-port

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Aktualisiert24. Juli 2026 um 09:43

Migrates pandas-like workflows to hipDF and cudf.pandas style acceleration, auditing for unsupported features.

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carlosfundora

carlosfundora/gfxGRAPH

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Verwandte BerufeSOC

Basierend auf der SOC-Berufsklassifikation

SoftwareentwicklerInformatik- und Mathematikberufe·SOC 15-1252

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5 Dateien

SKILL.md

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name	hipdf-pandas-port
description	Migrates pandas-like workflows to hipDF and cudf.pandas style acceleration, auditing for unsupported features.

Purpose

Accelerate tabular workflows by porting pandas code to hipDF.

When to use

When a task involves slow pandas ETL, joins, or aggregations.
To implement GPU DataFrames for performance gains.

Procedure

Audit existing pandas usage in the provided scripts.
Identify unsupported features in hipDF compared to pandas.
Rewrite compatible sections using hipDF or cudf.pandas style acceleration.
Run parity tests to ensure the output matches the original pandas logic.
Report on performance gains and any remaining pandas fallback operations.

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Develop and extend gfxGRAPH internals — add gap bridges, fix HIP/ROCm issues, debug graph capture failures, and understand the architecture. Covers BridgedCUDAGraph, ShapeBucketPool, ConditionalGraph, native bridge, and the monkey-patch system. USE FOR: extend gfxGRAPH, add new gap bridge, fix gfxGRAPH bug, understand gfxGRAPH architecture, modify BridgedCUDAGraph, add gfxGRAPH feature, debug graph capture internals, improve gfxGRAPH performance, gfxGRAPH C++ native bridge, write gfxGRAPH tests. DO NOT USE FOR: just using gfxGRAPH in a project (use gfxgraph-integration), general ROCm issues.

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Benchmark gfxGRAPH internals, run the public benchmark suite, and compare performance between Python and Rust.

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Guide and resources for deployment and development using the ROCm/AMD ATOM (AiTer Optimized Model) inference backend.

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benchmark-validate

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Validates and benchmarks ROCm-DS component ports against their CPU baselines (e.g., pandas vs hipDF). Use this to generate parity tests, verify correctness, and measure the performance speedups of GPU-accelerated code.

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compatibility-triage

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Verifies whether a requested ROCm-DS workflow is officially supported, source-build feasible, or experimental on the target system.

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hipgraph-analytics

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Leverages GPU acceleration to process and analyze complex graph structures using hipGRAPH. Note: hipGRAPH is early access.

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