Technical Deep Dives

The reference layer under the engine's hood, and all of it is about one thing — performance and parallelism. How the GPU turns a scene into pixels and how not to bury it in unnecessary work (rendering, culling); how geometry gets virtualized (Nanite); how to saturate 8–16 cores under a frame deadline (jobs) without hitting a race; how audio lives on hard real-time DSP; and how a data-oriented layout (ECS) feeds both CPU and GPU. The thread running through it: don't do unnecessary work, do it in batches and in parallel, and measure.

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reference

Rendering, geometry, parallelism, audio, data

Five slices through the engine's internals — how it is built and why exactly that way, with the emphasis on performance.

ECS and data-oriented designreference

Laying data out for the cache (SoA), dense arrays, cache locality — the foundation of performance. + 🏠 lab.✦ open

The render pipeline and culling~18 min

The GPU pipeline, culling / overdraw / draw calls, forward vs deferred, GPU architecture (warps, occupancy). Logistics, not math.✦ open

Mesh shaders and Nanite~17 min

Virtualized geometry: meshlets, per-pixel LOD, GPU-driven culling, the end of hand-made LODs. Like mipmaps, but for polygons.✦ open

Job systems~17 min

Task DAGs, work stealing, Amdahl's law, data races, the frame budget, profiling (Tracy). Saturating a wide CPU.✦ open

Audio and DSP~16 min

Sound as real-time DSP: the buffer deadline, the DSP graph, HRTF spatialization, adaptive music, FMOD/Wwise.✦ open

Module 8 follows the course concept (see CONCEPT.md + ROADMAP.md). The full source text is 08-technical-deep-dives.md. For projection and materials see M03/M05; the AI frontier is in M11.