NVIDIA/CUDALibrarySamples
Nov 2024 – Jul 2025
4 Months active
Languages Used
C++CMakeCUDAMarkdownCMakeScript
Technical Skills
C++CMakeCUDACUDA ProgrammingExample Code MaintenanceGPU Computing
Angelika Schwarz
PROFILE
Angelika Schwarz
Contributed to NVIDIA/CUDALibrarySamples by developing and maintaining high-performance GPU computing examples focused on linear algebra and numerical methods. Built new C++ and CUDA sample workflows demonstrating eigenvalue and eigenvector computations using cuSOLVER and cuDSS, including migration paths from deprecated APIs. Enhanced the reliability of sparse matrix conversions by debugging and correcting COO to CSR logic, ensuring accurate data handling in sample code. Improved onboarding and reproducibility through CMake build system updates and comprehensive documentation. The work emphasized algorithm implementation, CUDA programming, and technical writing, providing clear guidance for users comparing cuSOLVER, cuSPARSE, and cuDSS backends in practical scenarios.
Overall Statistics
Feature vs Bugs
60%Features
Repository Contributions
5Total
Bugs
2
Commits
5
Features
3
Lines of code
1,915
Activity Months4
Your Network
1676 peopleSame Organization
@nvidia.com1629
Work History
July 2025
1 Commits • 1 Features
Jul 1, 2025Summary for 2025-07 (NVIDIA/CUDALibrarySamples): - Key features delivered: CuDSS-based eigenvalue counting example for double complex matrices; new driver in CMakeLists.txt; core logic implemented in csreigs2cuDSS_dcomplex.cpp; README updated to document differences between cusolverSp and cuDSS. - Major bugs fixed: None reported this month. - Overall impact and accomplishments: Expands numerical capabilities within the samples, provides a runnable cuDSS workflow for eigenvalue counting on double complex matrices, and improves developer guidance on backend choices, enabling easier performance comparisons. - Technologies/skills demonstrated: CUDA/cuDSS integration, CMake build customization, C++ core algorithm development, and technical documentation for cross-backend comparison (cusolverSp vs cuDSS).
1 Commits • 1 Features
Jul 1, 2025Summary for 2025-07 (NVIDIA/CUDALibrarySamples): - Key features delivered: CuDSS-based eigenvalue counting example for double complex matrices; new driver in CMakeLists.txt; core logic implemented in csreigs2cuDSS_dcomplex.cpp; README updated to document differences between cusolverSp and cuDSS. - Major bugs fixed: None reported this month. - Overall impact and accomplishments: Expands numerical capabilities within the samples, provides a runnable cuDSS workflow for eigenvalue counting on double complex matrices, and improves developer guidance on backend choices, enabling easier performance comparisons. - Technologies/skills demonstrated: CUDA/cuDSS integration, CMake build customization, C++ core algorithm development, and technical documentation for cross-backend comparison (cusolverSp vs cuDSS).
July 2025
May 2025
1 Commits • 1 Features
May 1, 2025Month: 2025-05. Delivered a cuDSS-backed eigenvalue/eigenvector computation example in NVIDIA/CUDALibrarySamples, illustrating an alternative workflow to the deprecated cusolverSpDcsreigvsi. The work includes build-system and documentation updates to enable easy adoption and migration.
May 2025
1 Commits • 1 Features
May 1, 2025Month: 2025-05. Delivered a cuDSS-backed eigenvalue/eigenvector computation example in NVIDIA/CUDALibrarySamples, illustrating an alternative workflow to the deprecated cusolverSpDcsreigvsi. The work includes build-system and documentation updates to enable easy adoption and migration.
March 2025
1 Commits
Mar 1, 2025March 2025 (2025-03) monthly summary for NVIDIA/CUDALibrarySamples focusing on correctness and stability of sparse matrix conversions in sample code. Key deliverable: a targeted bug fix in COO to CSR conversion that prevents incorrect updates of index/value arrays during consecutive elements, ensuring accurate CSR construction and avoiding data population errors in downstream demos. The fix is implemented in commit 5cead8a88aa9247e30dfe27c6f2eb3af2045c03d with the message 'Fix COO to CSR conversion'. Impact: higher reliability of sample workflows that depend on correct sparse matrix conversions and reduced risk of misleading results in tutorials. Technologies/skills demonstrated: C++, CUDA, debugging, Git version control, code review, and patches in sample codebases.
1 Commits
Mar 1, 2025March 2025 (2025-03) monthly summary for NVIDIA/CUDALibrarySamples focusing on correctness and stability of sparse matrix conversions in sample code. Key deliverable: a targeted bug fix in COO to CSR conversion that prevents incorrect updates of index/value arrays during consecutive elements, ensuring accurate CSR construction and avoiding data population errors in downstream demos. The fix is implemented in commit 5cead8a88aa9247e30dfe27c6f2eb3af2045c03d with the message 'Fix COO to CSR conversion'. Impact: higher reliability of sample workflows that depend on correct sparse matrix conversions and reduced risk of misleading results in tutorials. Technologies/skills demonstrated: C++, CUDA, debugging, Git version control, code review, and patches in sample codebases.
March 2025
November 2024
2 Commits • 1 Features
Nov 1, 2024Month 2024-11: NVIDIA/CUDALibrarySamples focused on reliability and broader cuSOLVER coverage in sample code. Delivered a bug fix for the Dorgqr example, added comprehensive Xgeev eigenvalue/eigenvector demonstrations across data types and precision, and updated build/docs to improve reproducibility and onboarding for users and contributors.
November 2024
2 Commits • 1 Features
Nov 1, 2024Month 2024-11: NVIDIA/CUDALibrarySamples focused on reliability and broader cuSOLVER coverage in sample code. Delivered a bug fix for the Dorgqr example, added comprehensive Xgeev eigenvalue/eigenvector demonstrations across data types and precision, and updated build/docs to improve reproducibility and onboarding for users and contributors.
Activity
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Quality Metrics
Correctness94.0%
Maintainability88.0%
Architecture92.0%
Performance86.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++CMakeCMakeScriptCUDAMarkdown
Technical Skills
Algorithm ImplementationC++CMakeCUDACUDA ProgrammingExample Code MaintenanceGPU ComputingHigh-Performance ComputingLinear AlgebraNumerical Linear AlgebraNumerical MethodscuDSScuSOLVERcuSPARSEcuSolver
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