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hipdf-pandas-port

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Actualizado11 de mayo de 2026 a las 18:13

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

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carlosfundora

carlosfundora/sglang-1-bit-turbo

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Ocupaciones relacionadasSOC

Basado en la clasificación ocupacional SOC

Científicos de datosOcupaciones informáticas y matemáticas·SOC 15-2051

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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.
tools	["bash","python"]
inputs	["source_scripts"]
outputs	["porting_report","migrated_scripts"]
tags	["rocm","rocm-ds","hipdf","pandas"]

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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name	hipdf-pandas-port
description	Migrates pandas-like workflows to hipDF and cudf.pandas style acceleration, auditing for unsupported features.
tools	["bash","python"]
inputs	["source_scripts"]
outputs	["porting_report","migrated_scripts"]
tags	["rocm","rocm-ds","hipdf","pandas"]

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.