scroll-tech/ceno
Oct 2025 – Mar 2026
4 Months active
Languages Used
C++Rust
Technical Skills
C++CUDAGPU ProgrammingPerformance OptimizationRustZero-Knowledge Proofs
Velaciela
PROFILE
Velaciela
Over four months, Git Rover developed high-throughput GPU-accelerated proving features for the scroll-tech/ceno repository, focusing on memory management, concurrency, and performance optimization. He delivered a GPU prover and concurrent chip proving pipeline using C++, Rust, and CUDA, introducing memory-aware scheduling and per-thread CUDA streams to maximize throughput within VRAM constraints. His work included batch processing optimizations, API and module interface cleanups, and improved observability through enhanced logging and documentation. By refactoring core components and aligning cross-repository dependencies, Git Rover enabled scalable, maintainable GPU workflows that reduced memory footprint, improved runtime, and streamlined deployment for zero-knowledge proof generation.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
7Total
Bugs
0
Commits
7
Features
5
Lines of code
97,083
Activity Months4
Your Network
18 peopleWork History
March 2026
2 Commits • 1 Features
Mar 1, 2026March 2026 (Month: 2026-03) summary for scroll-tech/ceno focused on enabling high-throughput GPU-accelerated chip proving through memory-aware scheduling and safe parallelism. Implemented a GPU-aware concurrent proving pipeline, introduced memory estimation, per-thread CUDA streams, and a three-phase architecture to maximize throughput while controlling VRAM usage. Documentation and performance benchmarking were completed to aid deployment and future optimization.
2 Commits • 1 Features
Mar 1, 2026March 2026 (Month: 2026-03) summary for scroll-tech/ceno focused on enabling high-throughput GPU-accelerated chip proving through memory-aware scheduling and safe parallelism. Implemented a GPU-aware concurrent proving pipeline, introduced memory estimation, per-thread CUDA streams, and a three-phase architecture to maximize throughput while controlling VRAM usage. Documentation and performance benchmarking were completed to aid deployment and future optimization.
March 2026
December 2025
3 Commits • 2 Features
Dec 1, 2025December 2025 focused on GPU performance and memory management improvements in the scroll-tech/ceno stack, delivering two targeted features and improving observability and API quality. The work enhances throughput, reduces memory footprint, and strengthens maintainability for scalable tower witnesses and GPU prover flows.
December 2025
3 Commits • 2 Features
Dec 1, 2025December 2025 focused on GPU performance and memory management improvements in the scroll-tech/ceno stack, delivering two targeted features and improving observability and API quality. The work enhances throughput, reduces memory footprint, and strengthens maintainability for scalable tower witnesses and GPU prover flows.
November 2025
1 Commits • 1 Features
Nov 1, 2025Month 2025-11: Key delivery in scroll-tech/ceno centered on upgrading cudarc to v0.17.3 with batch sumcheck performance improvements and code cleanup. The upgrade enhances runtime for batch sumcheck operations, while cleaning up outdated performance evaluations for GPU and tower witness builds to reduce maintenance burden. Cross-repo alignment with cudarc-related work (scroll-tech/ceno-gpu) improved traceability and consistency across GPU paths.
1 Commits • 1 Features
Nov 1, 2025Month 2025-11: Key delivery in scroll-tech/ceno centered on upgrading cudarc to v0.17.3 with batch sumcheck performance improvements and code cleanup. The upgrade enhances runtime for batch sumcheck operations, while cleaning up outdated performance evaluations for GPU and tower witness builds to reduce maintenance burden. Cross-repo alignment with cudarc-related work (scroll-tech/ceno-gpu) improved traceability and consistency across GPU paths.
November 2025
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025 (2025-10) performance summary for scroll-tech/ceno: Key feature delivered is the Babybear GPU Prover, enabling GPU-accelerated proof generation with optimizations for proof creation, batch commits, and main/tower proofs. Dependency updates and internal type mappings were added to support the GPU prover. No major bugs fixed this month in this repository. Overall impact: faster proof throughput, improved scalability for GPU-enabled workloads, and a cleaner, more maintainable codebase. Technologies demonstrated: GPU-accelerated proving, dependency management, type system alignment, batch processing, and proof pipeline integration.
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025 (2025-10) performance summary for scroll-tech/ceno: Key feature delivered is the Babybear GPU Prover, enabling GPU-accelerated proof generation with optimizations for proof creation, batch commits, and main/tower proofs. Dependency updates and internal type mappings were added to support the GPU prover. No major bugs fixed this month in this repository. Overall impact: faster proof throughput, improved scalability for GPU-enabled workloads, and a cleaner, more maintainable codebase. Technologies demonstrated: GPU-accelerated proving, dependency management, type system alignment, batch processing, and proof pipeline integration.
Activity
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Quality Metrics
Correctness84.2%
Maintainability80.0%
Architecture84.2%
Performance85.8%
AI Usage42.8%
Skills & Technologies
Programming Languages
C++Rust
Technical Skills
Algorithm OptimizationAlgorithm optimizationC++CI/CDCUDAConcurrencyDocumentationGPU ProgrammingGPU programmingMemory ManagementMemory managementPerformance OptimizationPerformance optimizationRustRust Programming
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