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Concurrent Chunk Management Engine (Fabric) Icon

Concurrent Chunk Management Engine (Fabric)

A Fabric mod designed to improve the chunk performance of Minecraft.

41.3M downloads • 7.9K followers • Adventure & RPG • Modrinth

Concurrent Chunk Management Engine (Fabric)

A Fabric mod designed to improve the chunk performance of Minecraft.

Looking for NeoForge versions?

Looking for experimental hardware-accelerated world generation as well?

Benchmarks for 26.2 w/ Terratonic + Terralith (Aug 14th, 2026)

|2t-96t|1t-16t|

|------|------|

|Performance chart of C2ME, Paper and vanilla from 2 threads to 96 threads. The initial scaling of C2ME stops at roughly 45 threads to ~1200cps due to limited core count, and keeps going up to ~1400cps until the tested 96 threads. Paper doesn't scale linearly and fully stops at roughly 20 threads, scoring at most ~170cps. Vanilla scales slowly up to 42cps. C2ME is up to ~34x perf compared to vanilla, up to ~8.2x perf compared to Paper, on a system with 48 cores.|Performance chart of C2ME, Paper and vanilla from 1 threads to 16 threads. C2ME scales fully linearly here, up to 458cps at 16 threads. Paper's linear-ish scaling falls apart starting at 7 threads, and up to 142cps at 16 threads. Vanilla fails to scale linearly at all, up to 41cps at 16 threads. C2ME is roughly 120% faster than vanilla on one threads, scoring 29.1cps and 13.2cps respectively. C2ME is also roughly 130% faster than Paper on average before Paper fails scaling.|

So what is C2ME?

C^2M-Engine, or C2ME for short, is a Fabric mod designed to improve the performance of chunk generation, I/O, and loading. This is done by taking advantage of multiple CPU cores in parallel. For the best performance it is recommended to use C2ME with Lithium and ScalableLux.

What does C2ME stand for?

Concurrent chunk management engine, it's about making the game better threaded and more scalable in regard to world gen and chunk io performance.

Vanilla parity

C2ME does not sacrifice vanilla functionality or behavior, or alter the vanilla world generation in the name of raw speed by default.

However, due to the non-determinism of vanilla world generation, worlds will vary

significantly run-to-run even with the same seed. This is not a bug on our side.

While we carefully check that we do not modify any vanilla behavior, bugs are unavoidable after all.

So, if you do encounter an issue where C2ME deviates from the intended vanilla behavior, don't hesitate to open an issue.

Mod and Datapack compatibility

World generation datapacks that can run on vanilla Minecraft are fully supported.

Custom world generators implemented in mods usually runs well, but may cause compatibility issues due to certain

design assumption used by mod authors being broken for further speedups of world generation.

As a world generation mod author, if you find your mod broken, don't hesitate to look for help in our discord server (linked below).

We are willing to help mod authors to embrace scalable world generation.

Undefined behavior sanitization

C2ME includes CheckedThreadLocalRandom for world random (included in UWRAD) plus a few others.

These detections exist to prevent mods from screwing up Minecraft internals and causing undebuggable problems.

The detection should almost never produce false positives, and should be taken seriously and reported

to corresponding mod authors instead.

Usage notice

Backup your worlds and practice good game modding skills.

Support status for Minecraft versions

Only the latest Minecraft release and the latest Minecraft snapshot are fully supported.

Older Minecraft releases are in long-term support and will receive critical bug fixes.

Older Minecraft snapshots are not supported.

Support

Our issue tracker: link

Our discord server: link

More information

Check out the README.md here: https://github.com/RelativityMC/C2ME-fabric

Previous benchmarks

Benchmarks for 1.21.10 w/ Terralith (Nov 21, 2025)

|2t-80t|1t-16t|

|------|------|

|||

Footnotes: https://gist.github.com/ishland/6eb0dd0af4216ffffd340ea994dc5796

Benchmarks for 1.21.3 (Nov 24, 2024)

|2t-80t|1t-10t|

|------|------|

|||

Footnotes: https://gist.github.com/ishland/9601a033afad4be5b17ffaed859577fd

Footnotes

Footnotes for benchmarks

Benchmark setup

All benchmark done with single-socket Intel(R) Xeon(R) Platinum 8558P limited to 3.2GHz max, on Debian 13.

openjdk version "26.0.2" 2026-07-21
OpenJDK Runtime Environment Temurin-26.0.2+10 (build 26.0.2+10)
OpenJDK 64-Bit Server VM Temurin-26.0.2+10 (build 26.0.2+10, mixed mode)

Datapack used:

terratonic-3.0.27.zip,

Terralith_26.2_v2.6.4.zip

C2ME benchmark

Fabric mods used for C2ME benchmark:

c2me-fabric-mc26.2-0.4.2-alpha.0.41.jar
Chunky-Fabric-1.5.3.jar
fabric-api-0.157.0+26.2.jar
lithium-fabric-0.25.3+mc26.2.jar
ScalableLux-fabric-0.3.0-alpha.0.3-all.jar
spark-1.10.173-fabric.jar
vmp-fabric-mc26.2-0.2.0+beta.7.236-all.jar
zfastnoise-1.0.40+26.2.jar

Changed settings (c2me.toml):

  • globalExecutorParallelism set to thread count

Paper benchmark

Paper used: paper-26.2-112.jar

Paper plugin used: Chunky-Bukkit-1.5.3.jar

Changed settings (paper-global.yml):

  • worker-pool.io-threads = 4
  • worker-pool.worker-threads set to thread count

Vanilla benchmark

Fabric mods used for vanilla benchmark:

Chunky-Fabric-1.5.3.jar
fabric-api-0.157.0+26.2.jar
spark-1.10.173-fabric.jar

Vanilla test uses a patched Chunky to force chunks to unload in order to avoid crashes during benchmark.

Extra JVM flags: -Dmax.bg.threads= set to thread count

All benchmarks are run on tmpfs, on overworld, with world folder emptied before each JVM execution.

Seed: 114862964781274189

force-load-existing-chunks is turned on in Chunky config.

2-96 threads benchmark

JVM flags: -Xmx32G -Xms32G -Xss4m -Xshare:off -XX:+DisableExplicitGC -XX:+UseNUMA -XX:+UseZGC -XX:-ZUncommit -XX:+UseLargePages -XX:+UseTransparentHugePages -XX:+UseCompactObjectHeaders -XX:+UnlockExperimentalVMOptions -XX:-OmitStackTraceInFastThrow -XX:+AlwaysPreTouch -XX:+UnlockDiagnosticVMOptions -XX:+DebugNonSafepoints -XX:+ExitOnOutOfMemoryError -Dchunky.maxWorkingCount=256

Warmup phase: 2048 block radius with 0 0 as center (data discarded)

Measurement phase: 6144 block radius with 1000000 1000000 as center (591361 chunks in total)

| Thread count | C2ME cps | Paper cps | Vanilla cps |

|--------------|----------|-----------|-------------|

|2|55.11|24.22|20.43|

|4|110.41|49.28|29.35|

|6|166.07|71.66|33.39|

|8|219.92|92.86|36.80|

|10|274.67|110.43|37.15|

|12|329.63|125.05|39.65|

|14|384.75|133.76|39.82|

|16|436.43|144.52|39.98|

|18|490.76|149.11||

|20|546.04|154.36||

|22|601.59|151.71||

|24|658.53|155.99||

|26|710.77|158.12||

|28|756.22|162.46||

|30|812.31|169.11||

|32|867.10|169.11||

|34|914.00|165.42||

|36|975.84|160.83||

|38|1037.48|161.13||

|40|1099.18|153.36||

|42|1130.71|156.98||

|44|1143.83|164.72||

|46|1199.52|162.77||

|48|1244.97|157.65||

|50|1258.21|161.27||

|52|1260.90|160.96||

|54|1274.48|158.80||

|56|1288.37|157.99||

|58|1294.01|155.91||

|60|1294.01|161.53||

|62|1308.32|159.18||

|64|1320.00|163.22||

|66|1334.90|161.57||

|68|1337.92|164.04||

|70|1334.90|169.64||

|72|1365.73|169.69||

|74|1344.00|168.96||

|76|1347.06|169.98||

|78|1384.92|165.83||

|80|1368.89|163.86||

|82|1398.02|163.54||

|84|1401.33|167.86||

|86|1381.68|168.91||

|88|1375.26|167.48||

|90|1394.72|169.06||

|92|1398.02|169.98||

|94|1375.26|168.38||

|96|1381.68|166.58|41.99|

1-16 threads benchmark

JVM flags: -Xmx16G -Xms16G -Xss4m -Xshare:off -XX:+DisableExplicitGC -XX:+UseNUMA -XX:+UseZGC -XX:-ZUncommit -XX:+UseLargePages -XX:+UseTransparentHugePages -XX:+UseCompactObjectHeaders -XX:+UnlockExperimentalVMOptions -XX:-OmitStackTraceInFastThrow -XX:+AlwaysPreTouch -XX:+UnlockDiagnosticVMOptions -XX:+DebugNonSafepoints -XX:+ExitOnOutOfMemoryError -Dchunky.maxWorkingCount=256

Warmup phase: 1536 block radius with 0 0 as center (data discarded)

Measurement phase: 3072 block radius with 1000000 1000000 as center (148225 chunks in total)

| Thread count | C2ME cps | Paper cps | Vanilla cps |

|--------------|----------|-----------|-------------|

|1|29.06|12.82|13.22|

|2|57.25|25.77|21.57|

|3|85.68|38.29|26.98|

|4|115.08|50.55|30.12|

|5|144.05|61.73|33.73|

|6|172.56|74.15|35.53|

|7|203.05|84.65|37.17|

|8|228.74|93.52|38.88|

|9|257.78|103.44|39.82|

|10|287.26|111.95|39.02|

|11|316.04|118.39|39.04|

|12|344.71|123.73|38.72|

|13|373.36|130.59|40.16|

|14|404.99|134.14|40.52|

|15|430.89|133.54|40.60|

|16|458.90|142.25|41.98|

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