VirisOnGithub/compilation
Jan 2025 – Jan 2025
1 Month active
Languages Used
Java
Technical Skills
AlgorithmsAssembly GenerationAssembly LanguageCode RefactoringCompiler DesignData Structures
Amin - Ayoub
PROFILE
Amin - Ayoub
Ayoub Nadir developed a major upgrade to the VirisOnGithub/compilation pipeline, focusing on enhanced assembly generation through conflict-graph based register allocation and robust control-flow handling. Using Java and applying skills in compiler design and graph theory, Ayoub introduced a control graph and SubInstruction model to improve liveness tracking and manage conditional jumps, loads, stores, and calls. The work addressed memory-resident register allocation issues and refined the AssemblerGenerator for greater maintainability. These changes reduced register spills and improved generated code quality, demonstrating a deep understanding of algorithms and data structures while laying a solid foundation for future compiler optimizations.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
1
Lines of code
617
Activity Months1
Your Network
12 people
Work History
January 2025
3 Commits • 1 Features
Jan 1, 2025January 2025: Delivered a major upgrade to the VirisOnGithub/compilation pipeline by implementing enhanced assembly generation driven by a conflict-graph based register allocation strategy and robust control-flow handling. The work introduced a control graph, SubInstruction model, and improved liveness tracking in the ConflictGraph, enabling correct handling of conditional jumps, loads/stores, and calls. Completed a memory-resident register allocation fix and refined the AssemblerGenerator for greater robustness and maintainability. Overall, these improvements reduce register spills, increase generated code quality, and lay groundwork for future optimizations, contributing to better runtime performance and build reliability.
3 Commits • 1 Features
Jan 1, 2025January 2025: Delivered a major upgrade to the VirisOnGithub/compilation pipeline by implementing enhanced assembly generation driven by a conflict-graph based register allocation strategy and robust control-flow handling. The work introduced a control graph, SubInstruction model, and improved liveness tracking in the ConflictGraph, enabling correct handling of conditional jumps, loads/stores, and calls. Completed a memory-resident register allocation fix and refined the AssemblerGenerator for greater robustness and maintainability. Overall, these improvements reduce register spills, increase generated code quality, and lay groundwork for future optimizations, contributing to better runtime performance and build reliability.
January 2025
Activity
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Quality Metrics
Correctness83.4%
Maintainability80.0%
Architecture76.6%
Performance66.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
Java
Technical Skills
AlgorithmsAssembly GenerationAssembly LanguageCode RefactoringCompiler DesignData StructuresGraph Theory
Repositories Contributed To
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