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devatnull / High-Performance-Integer-Factorization-Suite-GNFS-MPQS-QS

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High-performance integer factorization suite implementing GNFS, MPQS, and QS algorithms with optimized lattice reduction, vectorization, GPU acceleration, and tensor-based linear algebra. Features automatic algorithm selection, NUMA-aware scheduling, and checkpoint/restore for computational number theory research and cryptanalytic analysis.

python cryptography cryptanalysis algorithms optimization rsa computational-mathematics high-performance-computing gpu-acceleration vectorization number-theory integer-factorization lattice-reduction tensor-networks algebraic-number-theory quadratic-sieve mpqs montgomery-arithmetic bkz gnfs
  • Updated Mar 25, 2026
  • Python

systemslibrarian / crypto-lab-lll-break

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Browser-based LLL and BKZ lattice reduction demo — Gram-Schmidt orthogonalization, Lovász condition, step-by-step basis reduction animation, toy LWE primal attack, parameter explorer showing why Kyber's n=256 q=3329 survives while toy parameters fail instantly. The hardness assumption, made tangible. No backends. No simulated math.

cryptography lattice-reduction post-quantum learning-with-errors svp gram-schmidt crypto-lab browser-demo lll-algorithm bkz lattice-cryptography
  • Updated Apr 18, 2026
  • TypeScript

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