NVIDIA/cuda-samples
May 2026 – May 2026
1 Month active
Languages Used
C++CUDAPython
Technical Skills
C++ DevelopmentC++ developmentCUDACUDA programmingHigh-performance computingParallel computing
Dheemanth
PROFILE
Dheemanth
Worked on the NVIDIA/cuda-samples repository to deliver a comprehensive refresh of the CUDA Samples Suite, focusing on integrating CUDA Python 1.0 samples alongside existing C++ examples. Leveraged C++, CUDA, and Python to reorganize the repository structure, streamlining onboarding for Python developers and enhancing cross-language sample coverage. Developed and released new CUDA 13.3 feature samples, including Tile C++, segmented scan, device-wide search, and DLPack interoperability, while updating CCCL and Python samples to demonstrate advanced CUDA capabilities. This work aligned the samples with CUDA Toolkit 13.3, enabling immediate validation and broader adoption of new high-performance computing features.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
1,521,671
Activity Months1
Your Network
10 peopleWork History
May 2026
2 Commits • 1 Features
May 1, 2026May 2026 monthly summary for NVIDIA/cuda-samples: Delivered a major feature refresh by integrating CUDA Python 1.0 samples with existing C++ samples and reorganizing the repo to streamline Python developer onboarding. Shipped CUDA 13.3 feature samples including Tile C++, segmented scan, device-wide search, and DLPack interoperability, with updates to CCCL and Python samples to demonstrate advanced capabilities and optimizations. No major bugs were reported in this period. This work improves developer onboarding, cross-language sample coverage, and alignment with Toolkit 13.3, enabling faster validation and broader adoption of CUDA features.
2 Commits • 1 Features
May 1, 2026May 2026 monthly summary for NVIDIA/cuda-samples: Delivered a major feature refresh by integrating CUDA Python 1.0 samples with existing C++ samples and reorganizing the repo to streamline Python developer onboarding. Shipped CUDA 13.3 feature samples including Tile C++, segmented scan, device-wide search, and DLPack interoperability, with updates to CCCL and Python samples to demonstrate advanced capabilities and optimizations. No major bugs were reported in this period. This work improves developer onboarding, cross-language sample coverage, and alignment with Toolkit 13.3, enabling faster validation and broader adoption of CUDA features.
May 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability90.0%
Architecture100.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++CUDAPython
Technical Skills
C++ DevelopmentC++ developmentCUDACUDA programmingHigh-performance computingParallel computingPython Development
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