EXCEEDS logo
Exceeds
Eric Bavier

PROFILE

Eric Bavier

Worked on the riscv/sdtrigpend repository to enhance the numerical accuracy of vector operation examples, focusing on division and square-root computations. Applied low-level programming techniques in Assembly to refactor core algorithms, targeting improved precision and reduced error in numerical methods. The approach involved careful documentation and validation of outputs, ensuring that demonstration examples now yield more reliable and stable results. These changes addressed specific issues with numerical discrepancies, supporting more robust trig-related computations on RISCV platforms. The work contributed to better correctness in example outputs, providing a stronger foundation for downstream testing and increased confidence in the reliability of numerical demonstrations.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

1Total
Bugs
0
Commits
1
Features
1
Lines of code
48
Activity Months1

Work History

December 2024

1 Commits • 1 Features

Dec 1, 2024

December 2024 monthly summary for riscv/sdtrigpend: Implemented significant numerical accuracy improvements for vector operation examples. Refactored underlying vector division and square-root algorithms to achieve higher precision, reducing error and enhancing numerical stability. This work improves demonstration correctness and reliability of trig-related computations on RISCV platforms, supporting robust numerical software and better confidence in downstream testing.

Activity

Loading activity data...

Quality Metrics

Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

Assembly

Technical Skills

DocumentationLow-level programmingNumerical methods

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

riscv/sdtrigpend

Dec 2024 Dec 2024
1 Month active

Languages Used

Assembly

Technical Skills

DocumentationLow-level programmingNumerical methods