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This sub-session achieved a comprehensive understanding and documentation of the SUPRASEAL_C2 Groth16 proof generation pipeline for Filecoin PoRep, identifying its ~200 GiB peak memory footprint and its root causes. The work produced a detailed background reference document mapping the entire call chain from Curio's Go task layer through Rust FFI into C++/CUDA kernels, with memory accounting and nine structural bottlenecks. Additionally, three composable optimization proposals were developed: Sequential Partition Synthesis to reduce peak memory by streaming partitions sequentially, Persistent Prover Daemon to eliminate SRS loading overhead, and Cross-Sector Batching to improve throughput by batching multiple sectors' circuits. A final round of micro-optimization analysis examined CPU synthesis hotpaths, GPU NTT/MSM characteristics, H-to-D transfer patterns, and the feasibility of recomputing a/b/c vectors on-the-fly. The overarching achievement is a shift from optimizing individual proof generation toward architecting a continuous, memory-efficient proving pipeline optimized for heterogeneous cloud rental markets.

Map call chain from Curio to supraseal-c2 with memory accountingAnalyze Curio orchestration and circuit value distributionCharacterize computational hotpaths at instruction levelDocument pipeline architecture with nine bottlenecksPropose Sequential Partition Synthesis for memory reductionPropose Persistent Prover Daemon to eliminate SRS loading overheadPropose Cross-Sector Batching for throughput improvementConduct micro-optimization analysis of CPU and GPU compute patternsEvaluate recomputing a/b/c vectors on-the-fly

The SUPRASEAL_C2 Groth16 Optimization Journey: From 200 GiB Peak Memory to a Continuous Proving Pipeline 3799 words

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