PlasmaControl/DESC
Dec 2024 – Dec 2024
1 Month active
Languages Used
Python
Technical Skills
Code FormattingDocumentationError HandlingGPU ComputingGPU ManagementSystem Configuration
Xishuo Wei
PROFILE
Xishuo Wei
Worked on the PlasmaControl/DESC repository to enhance GPU device selection by implementing a gpuid parameter for the set_device function. This update allowed users to explicitly choose a GPU for computation, with a robust fallback to the GPU offering the most available memory if an invalid gpuid was provided. The approach improved deterministic multi-GPU workloads and resource management, while user-facing warnings were added to catch misconfigurations early. The work involved Python programming and focused on GPU computing, error handling, and system configuration. Additional contributions included updating documentation, refining initialization logic, and applying code formatting standards to support maintainability.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
1
Lines of code
37
Activity Months1
Your Network
15 peopleShared Repositories
15
Work History
December 2024
5 Commits • 1 Features
Dec 1, 2024December 2024 (PlasmaControl/DESC): Delivered a GPU device selection enhancement for set_device, enabling an explicit gpuid parameter and a safe fallback to the GPU with the most available memory when gpuid is invalid. This improves deterministic multi-GPU workloads, resource management, and user control over hardware usage. Updated initialization and documentation to reflect the new behavior, and added user-facing warnings to catch misconfigurations early. Also performed code quality improvements (Black formatting) and a minor typo fix to strengthen maintainability and CI signals.
5 Commits • 1 Features
Dec 1, 2024December 2024 (PlasmaControl/DESC): Delivered a GPU device selection enhancement for set_device, enabling an explicit gpuid parameter and a safe fallback to the GPU with the most available memory when gpuid is invalid. This improves deterministic multi-GPU workloads, resource management, and user control over hardware usage. Updated initialization and documentation to reflect the new behavior, and added user-facing warnings to catch misconfigurations early. Also performed code quality improvements (Black formatting) and a minor typo fix to strengthen maintainability and CI signals.
December 2024
Activity
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Quality Metrics
Correctness92.0%
Maintainability92.0%
Architecture88.0%
Performance88.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Code FormattingDocumentationError HandlingGPU ComputingGPU ManagementSystem Configuration
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