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SreecharanGundaboluAMD

PROFILE

Sreecharangundaboluamd

Sandeep Gundaboina focused on reliability and correctness improvements in the ROCm/MIOpen repository, addressing critical edge cases in GPU convolution solvers. He developed and integrated a centralized ProblemInterpreter class in C++ to standardize convolution parameter handling, which resolved stride calculation errors for 1x1 filters and improved robustness across small spatial dimensions. Sandeep also fixed misordered printf arguments in the convolution driver, ensuring accurate performance metrics. His work included expanding regression and unit tests to cover previously failing tensor cases, demonstrating depth in debugging, low-level programming, and performance optimization. These targeted changes enhanced solver reliability and supported future performance engineering efforts.

Overall Statistics

Feature vs Bugs

0%Features

Repository Contributions

3Total
Bugs
3
Commits
3
Features
0
Lines of code
2,432
Activity Months2

Work History

July 2025

2 Commits

Jul 1, 2025

July 2025 monthly summary for ROCm/MIOpen focusing on reliability improvements and correctness fixes driven by concrete metrics and test coverage. Delivered targeted bug fixes, strengthened validation with unit tests, and introduced infrastructure to support future performance improvements.

June 2025

1 Commits

Jun 1, 2025

For 2025-06, ROCm/MIOpen delivered a critical edge-case fix in the MISA Solver: corrected stride calculations when filter dimensions are 1x1. This was achieved by introducing a new ProblemInterpreter class that centralizes convolution parameter interpretation, boosting robustness and correctness across edge cases. The change reduces production miscalculations for models with small spatial dimensions, increasing reliability of the solver and customer trust. Key commit: 8ad3741d082491c059ad468903dfaff2774472be ([BUG] [CONV] Fix incorrect stride calculation when w=1/h=1 in MISA solvers (#3786)). Additional work included expanding regression tests to cover 1x1 edge cases.

Activity

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Quality Metrics

Correctness93.4%
Maintainability90.0%
Architecture86.6%
Performance76.6%
AI Usage20.0%

Skills & Technologies

Programming Languages

C++

Technical Skills

Algorithm DevelopmentC++DebuggingDriver DevelopmentGPU ComputingLow-Level ProgrammingLow-level OptimizationPerformance AnalysisPerformance EngineeringPerformance OptimizationTesting

Repositories Contributed To

1 repo

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

ROCm/MIOpen

Jun 2025 Jul 2025
2 Months active

Languages Used

C++

Technical Skills

Algorithm DevelopmentC++GPU ComputingLow-Level ProgrammingPerformance OptimizationDebugging

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