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
Slzk contributed to the PolyhedraZK/Expander repository by developing a GPU-accelerated optimization for the LinearGKR sum-check, refactoring core accumulation logic to leverage CUDA kernels for multiplication and addition gates. This work introduced a soft-lock based prepare phase and a dedicated CUDA kernel for vector addition, resulting in improved throughput and lower latency for zero-knowledge proof generation. In addition, Slzk addressed a stability issue in distributed MPI workflows by fixing duplicated initialization of mpi_config, ensuring consistent MPI state across runs. The work demonstrated depth in algorithm optimization, GPU computing, and MPI debugging, using C++, CUDA, and Rust to enhance performance and reliability.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
327
Activity Months2
Your Network
22 peopleSame Organization
@polyhedra.network9
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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