zml/zml
Mar 2026 – Mar 2026
1 Month active
Languages Used
Zig
Technical Skills
Zig programmingalgorithm optimizationbackend developmentperformance optimizationtensor operations
Corentin Godeau
PROFILE
Corentin Godeau
Worked on the zml/zml repository to enhance reliability, maintainability, and performance in backend systems using Zig. Focused on standardizing division operations by replacing a custom divCeil implementation with the Zig standard library’s std.math.divCeil, reducing custom logic and potential sources of error. Developed sharding support for the Fa3 backend within the flash attention module, enabling distributed computation and improved scalability for tensor operations. The approach emphasized algorithm optimization and careful metadata handling for causal attention. No major bugs were addressed during this period, with efforts concentrated on delivering robust new features and optimizing backend performance through targeted engineering improvements.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
92
Activity Months1
Your Network
30 peopleShared Repositories
22
Allison DurhamMember
jaco-broMember
Benjamin RabierMember
Corentin KerisitMember
Corentin GodeauMember
Reese ChongMember
Emmanuel FerdmanMember
Hugo ManoMember
Imran AlamMember
Work History
March 2026
2 Commits • 2 Features
Mar 1, 2026Month: 2026-03 — Summary of work focused on reliability, maintainability, and performance for zml/zml. Key features delivered: 1) DivCeil Standardization for Reliability; 2) Fa3 Backend Sharding in Flash Attention. No major bugs fixed this month. Overall impact: reduced risk through standard library usage, improved scalability via sharding, and clearer ownership of attention implementations. Technologies/skills demonstrated: Rust standard library usage (std.math.divCeil), Flash Attention architectures, sharding/distributed computation patterns, metadata handling for causal attention.
2 Commits • 2 Features
Mar 1, 2026Month: 2026-03 — Summary of work focused on reliability, maintainability, and performance for zml/zml. Key features delivered: 1) DivCeil Standardization for Reliability; 2) Fa3 Backend Sharding in Flash Attention. No major bugs fixed this month. Overall impact: reduced risk through standard library usage, improved scalability via sharding, and clearer ownership of attention implementations. Technologies/skills demonstrated: Rust standard library usage (std.math.divCeil), Flash Attention architectures, sharding/distributed computation patterns, metadata handling for causal attention.
March 2026
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage30.0%
Skills & Technologies
Programming Languages
Zig
Technical Skills
Zig programmingalgorithm optimizationbackend developmentperformance optimizationtensor operations
Repositories Contributed To
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