Deep dive into machine learning, computer vision, and software engineering. Expert insights on AI, local LLMs, quantization, and practical implementation details from real-world projects.
Kernel fusion merges multiple neural network operations into a single GPU kernel to eliminate intermediate memory writes — this article explains how fusion works, why it helps deep learning workloads, and how TensorRT and torch.compile use it.
You don't need a logging framework, registry, or factory. Python's stdlib logging is a global singleton — getLogger(name) always returns the same instance, and dictConfig can configure any logger in the process, including third-party libraries.
How H.264 (AVC), H.265 (HEVC), and AV1 compare on compression efficiency, encoding cost, hardware decode support, patent licensing, and use-case fit. The practical decision matrix for choosing a video codec in 2024.
Deep dive into CPython internals: bytecode compilation, memory management, the GIL, object model, and garbage collection.
How C++ compilers transform source code through preprocessing, parsing, optimization, and code generation. Interactive visualizations included.
Master the linking process in C++ including symbol resolution, static vs dynamic linking, relocations, GOT/PLT, and solving common linking errors.