Madhava V17 — BIGANN-100M Streaming Stress Test & Benchmark (Verified, int8, Zero Bound Violations)
Madhava V17 — BIGANN-100M Streaming Stress Test & Benchmark (Verified, int8, Zero Bound Violations)
Madhava V17 — BIGANN-100M Streaming Stress Test & Benchmark (Verified, int8, Zero Bound Violations) C++ implementation with Modified Gram-Schmidt orthogonal projections, int8 quantization with dynamic dequantization margin, and empirical bound violation verification against exact cosine similarity. Results (28-thread CPU, AVX2+FMA, 100M vectors) Build: 21.5s Query latency: 1.9s Memory: 18.6GB (int8 projection cache) NDCG@10: 1.000 • R@10: 1.000 Bound violations: 0% (verified empirically) Early exit: 124 cossenos exatos por query Kaggle Notebook https://www.kaggle.com/code/kleniopadilha/madhava-v12-bigann-verified BSL 1.1 | pay@winnex.ai
bound verification, Madhava, C++17, Winnex AI, Modified Gram-Schmidt, int8 quantization, AVX2, stress test, BIGANN-100M, vector search, streaming, Cauchy-Schwarz, zero violations
bound verification, Madhava, C++17, Winnex AI, Modified Gram-Schmidt, int8 quantization, AVX2, stress test, BIGANN-100M, vector search, streaming, Cauchy-Schwarz, zero violations
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