Canalize

Have you ever thought that Minecraft's world could be taller, grander, and more realistic?

The vanilla Overworld caps out at 384 blocks. Mountains peak within a few dozen blocks — you reach the top in minutes. That's not a mountain range. That's a hill model.

Canalize breaks that ceiling.

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What It Is

Canalize is a NeoForge mod that completely rewrites Minecraft's Overworld terrain generation. It doesn't reskin the vanilla terrain or tweak parameters — it replaces the vanilla ChunkGenerator from scratch with an independent C++ noise engine, bridged back to the game via JNI.

The resulting world stretches from −64 all the way up to 1744 — a full 1808 blocks of vertical space. That's 4.7× taller than vanilla.

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What the World Looks Like

Picture a mountain whose base is carved by erosion into gorges and riverbeds, whose slopes are layered rocky formations, whose summit is bare stone above the treeline — and whose peak nearly pierces the cloud layer.

Canalize's terrain is built from three layered noise systems:

• Ridged FBM — builds the skeleton of mountain ranges: sharp, continuous, directional
• Domain Warping — simulates hydraulic erosion, carving valleys and riverbeds
• Worley Cellular Noise — blends rock texture into mountain peaks

Biome transitions use smoothstep interpolation — no hard edges between ocean, plain, and mountain.

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Why C++

At 1808 blocks, noise computation multiplies dramatically. Canalize's noise kernel is written in C++17 with AVX2 SIMD optimization — 8 floats per instruction, stateless, fully thread-safe.

The goal: an 1808-block world that generates with no perceptible slowdown compared to vanilla.

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Technical Summary

World Height	−64 ~ 1744 (1808 blocks)
Noise Stack	Simplex OS2S → Ridged FBM → Domain Warping + Worley
Acceleration	C++17 + AVX2 SIMD via JNI
Platforms	Windows / Linux / macOS (x86_64 + Apple Silicon)
Loader	NeoForge 21.1.219
License	Mulan PubL v2

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Early development. Once enabled in a world save, that save permanently depends on this mod's terrain generator. Use only in dedicated test worlds.

Requires a CPU with AVX2 support (most CPUs from 2013+).

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中文说明详见 GitHub