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hipdf-pandas-port

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Atualizado11 de maio de 2026 às 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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Ocupações relacionadasSOC

Baseado na classificação ocupacional SOC

Cientistas de dadosInformática e Matemática·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.