zama-ai/tfhe-rs
Mar 2026 – Apr 2026
2 Months active
Languages Used
C++RustMarkdownYAML
Technical Skills
C++C++ developmentCUDACUDA programmingCryptographyGPU programming
Pedro Alves
PROFILE
Pedro Alves
Pedro Alves contributed to the zama-ai/tfhe-rs repository by developing and refining GPU-accelerated cryptographic features and infrastructure over a two-month period. He enhanced the CUDA backend’s robustness and safety by addressing kernel warnings and implementing pointer aliasing checks to prevent race conditions in parallel computations. Pedro introduced a GPU re-randomization feature to improve cryptographic throughput and flexibility, and generalized XOF key set tests for better maintainability. He also integrated GPU ZK benchmark jobs with SVG generation into the CI pipeline, improved data extraction for benchmark names, and rewrote documentation workflows, leveraging C++, CUDA, and Rust to ensure production reliability and clarity.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
6Total
Bugs
1
Commits
6
Features
4
Lines of code
2,336
Activity Months2
Your Network
32 peopleWork History
April 2026
2 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for zama-ai/tfhe-rs: Implemented GPU ZK benchmarks CI integration with SVG generation; fixed data extractor to correctly parse cuda::zk:: prefixed benchmark names; enhanced documentation workflows and introduced feature flags and operational details for GPU-accelerated ZK proof generation/verification; rewrote GPU ZK-PoK docs for zk-cuda-backend integration. These changes expanded CI coverage, improved benchmark visibility and reproducibility, and clarified the GPU acceleration workflow for stakeholders.
2 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for zama-ai/tfhe-rs: Implemented GPU ZK benchmarks CI integration with SVG generation; fixed data extractor to correctly parse cuda::zk:: prefixed benchmark names; enhanced documentation workflows and introduced feature flags and operational details for GPU-accelerated ZK proof generation/verification; rewrote GPU ZK-PoK docs for zk-cuda-backend integration. These changes expanded CI coverage, improved benchmark visibility and reproducibility, and clarified the GPU acceleration workflow for stakeholders.
April 2026
March 2026
4 Commits • 3 Features
Mar 1, 2026March 2026 monthly summary for zama-ai/tfhe-rs focusing on delivering GPU backend robustness, safety, and test improvements for production reliability and performance.
March 2026
4 Commits • 3 Features
Mar 1, 2026March 2026 monthly summary for zama-ai/tfhe-rs focusing on delivering GPU backend robustness, safety, and test improvements for production reliability and performance.
Activity
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Quality Metrics
Correctness96.6%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage23.4%
Skills & Technologies
Programming Languages
C++MarkdownRustYAML
Technical Skills
BenchmarkingC++C++ developmentCI/CDCUDACUDA programmingCryptographyDocumentationGPU programmingRustcryptographydocumentationsoftware developmenttesting
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