GoogleCloudPlatform/cluster-toolkit
Nov 2024 – Nov 2024
1 Month active
Languages Used
BashShellyaml
Technical Skills
Cloud InfrastructureDevOpsGPU ManagementSLURMScriptingShell Scripting
NinaCai
PROFILE
Ninacai
Developed and integrated an automated GPU health validation script for the GoogleCloudPlatform/cluster-toolkit repository, focusing on SLURM-managed H100 GPUs. The solution leveraged Bash and yaml scripting to check GPU status using tools such as nvidia-smi, dcgmi, and nv-hostengine, validating hardware readiness by monitoring DCGM diagnostics, ECC errors, and NVLink errors. Initially implemented as both prolog and epilog checks within SLURM job workflows, the approach was later streamlined to epilog-only execution to reduce operational complexity and false positives. The work included adding an executable header and Apache 2.0 license, supporting maintainability, licensing compliance, and reliable GPU job execution.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
1
Lines of code
93
Activity Months1
Your Network
4797 peopleSame Organization
@google.com4703
Benedict OdaiMember
Craig IngramMember
KayyuriMember
Scott SuarezMember
Agent2Agent (A2A) BotMember
Andreas AbelMember
Aadi KapurMember
Aadish GoelMember
Aahil MehtaMember
Work History
November 2024
3 Commits • 1 Features
Nov 1, 2024Month: 2024-11. Focused on enhancing GPU health validation for SLURM-managed GPUs in GoogleCloudPlatform/cluster-toolkit. Delivered an automated gpu-test health-check script and integrated it into SLURM as a prolog/epilog sequence, with later simplification to epilog-only checks to improve reliability and operational simplicity. Added executable header and Apache 2.0 license to improve usability and licensing compliance. This work supports reliability, maintainability, and licensing practices, reducing runtime overhead and minimizing GPU-related job interruptions.
3 Commits • 1 Features
Nov 1, 2024Month: 2024-11. Focused on enhancing GPU health validation for SLURM-managed GPUs in GoogleCloudPlatform/cluster-toolkit. Delivered an automated gpu-test health-check script and integrated it into SLURM as a prolog/epilog sequence, with later simplification to epilog-only checks to improve reliability and operational simplicity. Added executable header and Apache 2.0 license to improve usability and licensing compliance. This work supports reliability, maintainability, and licensing practices, reducing runtime overhead and minimizing GPU-related job interruptions.
November 2024
Activity
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Quality Metrics
Correctness90.0%
Maintainability86.6%
Architecture86.6%
Performance86.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
BashShellyaml
Technical Skills
Cloud InfrastructureDevOpsGPU ManagementSLURMScriptingShell ScriptingSystem Administration
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