PolyhedraZK/Expander
Jan 2025 – Jul 2025
2 Months active
Languages Used
C++CUDARust
Technical Skills
Algorithm OptimizationCUDA ProgrammingGPU ComputingZero-Knowledge ProofsBug FixMPI
Simon Lau
PROFILE
Simon Lau
Worked on the PolyhedraZK/Expander repository to optimize and stabilize core zero-knowledge proof workflows. Developed a GPU-accelerated LinearGKR sum-check by refactoring accumulation logic into CUDA kernels and introducing a soft-lock based prepare phase, which improved verification throughput and reduced latency in proof generation. Added a dedicated CUDA kernel for efficient vector addition, leveraging C++ and CUDA for high-performance computation. Later, addressed stability in distributed MPI workflows by fixing duplicated initialization of mpi_config, ensuring consistent MPI state and preventing crashes. Demonstrated expertise in algorithm optimization, GPU computing, and MPI debugging, contributing to both performance and reliability of the codebase.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
327
Activity Months2
Your Network
23 peopleSame Organization
@polyhedra.network10
Shared Repositories
13
Work History
July 2025
1 Commits
Jul 1, 2025July 2025 monthly summary for PolyhedraZK/Expander focusing on stability improvements in distributed MPI workflows. Delivered a critical bug fix to prevent duplicated initialization of mpi_config in GKR MPI, ensuring MPI state is initialized exactly once across runs. The fix reduces instability, prevents inconsistent results, and enhances reliability for MPI-based computations in Expander.
1 Commits
Jul 1, 2025July 2025 monthly summary for PolyhedraZK/Expander focusing on stability improvements in distributed MPI workflows. Delivered a critical bug fix to prevent duplicated initialization of mpi_config in GKR MPI, ensuring MPI state is initialized exactly once across runs. The fix reduces instability, prevents inconsistent results, and enhances reliability for MPI-based computations in Expander.
July 2025
January 2025
1 Commits • 1 Features
Jan 1, 2025Concise monthly summary for 2025-01 focusing on key accomplishments, business value, and technical achievements in PolyhedraZK/Expander.
January 2025
1 Commits • 1 Features
Jan 1, 2025Concise monthly summary for 2025-01 focusing on key accomplishments, business value, and technical achievements in PolyhedraZK/Expander.
Activity
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Quality Metrics
Correctness85.0%
Maintainability80.0%
Architecture85.0%
Performance80.0%
AI Usage30.0%
Skills & Technologies
Programming Languages
C++CUDARust
Technical Skills
Algorithm OptimizationBug FixCUDA ProgrammingGPU ComputingMPIRustZero-Knowledge Proofs
Repositories Contributed To
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