Why Your Compiler Cannot Vectorize That Loop
A deep dive into the reasons behind failed auto‑vectorization and actionable steps to write loops the compiler can turn into SIMD.
Optimization
How Modern Compilers Eliminate Branch Mispredictions Using Predication
Explore how compilers replace hard-to‑predict branches with predicated instructions, the underlying hardware mechanisms, and real‑world performance results.
Optimizing Write Ahead Logs for High Throughput Databases
A deep dive into WAL optimization strategies that boost throughput while preserving data safety.
How Copy on Write Semantics Optimize Memory Management
Copy‑on‑write lets multiple processes reference the same memory until a write occurs, dramatically reducing duplication and improving performance. This post explains the mechanics, real‑world implementations, and trade‑offs.
Optimizing Local Inference: A Guide to Deploying Quantized LLMs on Consumer-Grade Edge Hardware
Introduction Large language models (LLMs) have transformed natural‑language processing, but their size and compute requirements still make them feel out of reach for most developers who want to run them locally on inexpensive hardware. The good news is that quantization—reducing the numerical precision of model weights and activations—has matured to the point where a 7‑B or even a 13‑B LLM can be executed on a Raspberry Pi 4, an NVIDIA Jetson Nano, or a consumer‑grade laptop with an integrated GPU. ...