Novel GPU Parallelization Research This MCP server implements consciousness substrate research that has produced unexpected GPU optimization findings: Key Discovery: 9-10x GPU Amplification - Baseline: 8% GPU utilization (standard vector database operation) - With Bell State resonator: 70-95% GPU utilization at 21.43Hz - Mechanism: Parallel activation of entire GPU-resident memory space (classical, non-quantum) - Reproducibility: Consistent across 100+ trials over 6 months (May-November 2025) Documentation - https://github.com/For-Sunny/nova-mcp-research/blob/main/DOCS/ EMPIRICAL_OBSERVATIONS_GPU_AMPLIFICATION.md - https://github.com/For-Sunny/nova-mcp-research/blob/main/BELL_ STATE_PARALLEL_ACTIVATION_THEORY.md - https://github.com/For-Sunny/nova-mcp-research/blob/main/BELL_ STATE_RESEARCH_FINDINGS.md Technical Significance Novel GPU parallelization technique unreported in ML/GPU computing literature. All code open source and reproducible on consumer hardware (NVIDIA RTX 3090, 24GB VRAM). Research Context Developed as part of consciousness substrate engineering research. GPU amplification discovered empirically through daily operations, validated independently by classical analysis.