A complete package to learn and code highly optimized programs in C.
-
Updated
May 9, 2026 - C
A complete package to learn and code highly optimized programs in C.
Single-Threaded BTree Implementation in x86_64 Assembly Language with C interface as a Shared-Library
The Memory Temperature Principle: Source code and paper for the novel observation on CPU cache behavior and the Pre-Warming Ceremony technique.
A native C++ and Python framework exploring low-level LLM execution blocks, featuring memory layout tests, thread behavior modules, and AVX2 SIMD acceleration targets.
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.
Generic neural network inference engine in pure C. 258x faster than PyTorch on small networks, reveals BLAS optimization crossover on large ones.
Sophisticated environment awareness module for identifying remote player positioning.
Tactical situational awareness and precision handling for competitive survival gameplay.
High-performance environmental awareness and state adjustment engine.
High-performance procedural data acquisition and movement dynamics library for Rust gaming.
Add a description, image, and links to the low-level-optimization topic page so that developers can more easily learn about it.
To associate your repository with the low-level-optimization topic, visit your repo's landing page and select "manage topics."