openshift/instaslice-operator
Nov 2024 – Nov 2024
1 Month active
Languages Used
Go
Technical Skills
Backend DevelopmentGoGo DevelopmentKubernetesRefactoringResource Management
asmalvan
PROFILE
Asmalvan
Worked on the openshift/instaslice-operator repository to enhance GPU resource allocation by introducing deterministic allocation logic and improving reliability. Developed GPU dimension packing with deterministic sorting of GPU UUIDs, ensuring allocations are consistently made to a single GPU. Refactored the GPU sorting logic into a dedicated sortGPUs function and added unit tests to verify correct behavior. Addressed a critical off-by-one error in per-GPU slice creation by adjusting the boundary condition, which now accurately includes the last available index. Utilized Go for backend development, focusing on resource management, Kubernetes integration, and robust unit testing to ensure reproducible and reliable allocation outcomes.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
1
Lines of code
72
Activity Months1
Your Network
196 peopleShared Repositories
14
Work History
November 2024
3 Commits • 1 Features
Nov 1, 2024November 2024 — For openshift/instaslice-operator, delivered GPU resource allocation enhancements with deterministic allocation and improved reliability through targeted bug fixes. Key features include GPU dimension packing, deterministic sorting of GPU UUIDs, and deterministic ordering of insta-slice items by name, with a dedicated sortGPUs function and accompanying unit tests. A critical bug fix adjusted the per-GPU slice creation boundary to include the last index, preventing premature allocation stops. Commits included: 7c6fd97dcb0bd103e8215f9b101c1682a4a915aa (implement packing at GPU dimension); daf8f3fbb5685b3cdc2fc469b2e321607887858b (refactor code and add unit test); d485a6752589dcd50b4d5b4314b837f891ebc30a (fix max slice creation per GPU).
3 Commits • 1 Features
Nov 1, 2024November 2024 — For openshift/instaslice-operator, delivered GPU resource allocation enhancements with deterministic allocation and improved reliability through targeted bug fixes. Key features include GPU dimension packing, deterministic sorting of GPU UUIDs, and deterministic ordering of insta-slice items by name, with a dedicated sortGPUs function and accompanying unit tests. A critical bug fix adjusted the per-GPU slice creation boundary to include the last index, preventing premature allocation stops. Commits included: 7c6fd97dcb0bd103e8215f9b101c1682a4a915aa (implement packing at GPU dimension); daf8f3fbb5685b3cdc2fc469b2e321607887858b (refactor code and add unit test); d485a6752589dcd50b4d5b4314b837f891ebc30a (fix max slice creation per GPU).
November 2024
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance73.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
Go
Technical Skills
Backend DevelopmentGoGo DevelopmentKubernetesRefactoringResource ManagementUnit Testing
Repositories Contributed To
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