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xla-compiler

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PJHkorea / Continuous_Wave_Field_LLM_Brain

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0ns zero-copy, autograd-free hybrid guide layer (Pre-Transformer Packet Rectifier). Uses viscous Burgers' & Vorticity under FNG V3 to pre-rectify high-order skewness & stream clean tensor manifolds straight into LLM Attention.

zero-copy transformer high-performance-computing fluid-dynamics forward-only pybind11 plugin-architecture pinn burgers-equation jax vorticity cuda-kernel hardware-software-codesign llm backpropagation-free vram-optimization kv-cache-optimization xla-compiler autograd-free
  • Updated Jul 25, 2026
  • Python

PJHkorea / egregore-flat-kernel

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Multi-Engine (PyTorch & JAX/XLA) Zero-Branching Geometric Acceleration Core. Enforces 0% Graph Breaks & Real-time Fault-Isolation via hardware-native bitwise MUX operations (torch.where / jax.lax.select) to permanently eliminate 'jmp' instructions and host-device synchronization fences.

zero-copy cuda pytorch non-blocking fault-tolerant numerical-stability jax riemannian-manifold xla geodesic-distance kernel-fusion automatic-mixed-precision branchless graph-execution low-level-optimization micro-optimizations xla-compiler graph-breaks stateless-functional bitwise-mux
  • Updated Jul 4, 2026
  • Python

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