This is a volunteer computing project which allows anyone on the internet to contribute resources to research projects related to Minecraft.
[email protected] enables the study of the fundemental laws of Minecraft to answer unanswered questions regarding the features and true limits of the game.
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Hello crunchers !
We are happy to announce that we rewarded 4551 of you with a brand new badge for your participation in the cactus projects, we are truly grateful of your participation and we though that having such badge would be a good way to show it.
We couldn't have done it without you !
On a side note, we are open to suggestion if you feel like we should do that more often/make more badge goals.
(high quality: https://minecraftathome.com/download/badges/cactus_badge_hi.png)
25 Aug 2021, 2:34:52 UTC · Discuss
OneChunk launch and onwards
We didn't announce the launch of OneChunk SSG here even though we teased it already so this post is announcing it officially. This is our first CPU project and 2500 credits will be awarded by tasks since all have been designed to last approximately the same time. The calculation for the reward is based on the current runtime of a task, power draw of a CPU and our past GPU credits attribution.
This is a long-awaited project which is meant to find all seeds with 11 eyes stronghold for Minecraft 1.7/1.8.
To put it in context in Minecraft, you have a portal that allows you to go to the end dimension to beat the final boss called the ender dragon. This portal needs 12 tokens (eyes of ender) to lit up, fortunately some portal have those tokens already inserted from 0 to 12. If 12 are put inside the portal lit up and you can go through, however there is a catch in Minecraft 1.8 and below, 12 pre placed tokens didn't lit up the portal automatically so we are finding the next best thing 11 tokens/eyes ones!
Technical Details :
To compute those 11 eyes portal, a lot of stuff needs to be computed, the first thing we did is we used a lattice to find all combination that makes a 11 eyes portal then we reverse it to what we call a population seed and now on Boinc we are trying to find Stronghold that generates such as the portal room have that population seed. If you didn't get that last part, let me make it a bit clearer, basically we can not reverse fully the process so we use the midpoint strategy where we know valid numbers that were reversed and then we need to simulate forward a layout such as we match the numbers we found previously.
You can find our project here: https://github.com/minecrafthome/OneChunk and the Pull Request with the binaries : https://github.com/minecrafthome/minecrafthome/pull/77
As the client needs a bit more data we provide it from an API hosted at ssg.seedfinding.com.
The current tasks (around 1.9M) should last us about 100-200 days and will yield about 200GB of data that will then be processed directly on the server to give us the best seed.
You can download the current results here: https://files.seedfinding.com, those are the raw results (seeds, coordinates) and will be further processed later on but they are already 11 eyes strongholds.
Happy crunching !
13 Aug 2021, 21:14:40 UTC · Discuss
OneChunk CPU In Testing (X86_64 & ARM64)
This week marks the period where we finally begin creating tasks and testing the OneChunk CPU application in an actual BOINC environment. Once tonight and tomorrow's testing shows that we can validate these tasks, and that our work-gen / task data creation system is working as expected we shall be able to roll this out to our main [email protected] server as a 'Beta App'. Over the past month since my last progress post we've had yet another set of delays. Some of this is because 'Sia' has not implemented the features we were hoping to use, and also some of our developers have been travelling in the past few weeks.
(See; https://minecraftathome.com/minecrafthome/forum_thread.php?id=102 )
On the bright side, we shall now be checking seeds for 11-Eye dungeons in version 1.7 and 1.8 at the same time, and our code has had some significant changes for the order of 'filtering' and how it works to find these special seeds and spawns required for the Super Speedruns / OneChunk challenges.
Shown below is a screenshot of my Raspberry Pi 4 (2.025GHz) running 4 tasks concurrently. We will be tweaking the time estimate (known config issue), but each individual task will take 4 hours (per core) on an RPi, and for example on a 5800X it takes about 1.5 hours per task per core.
For our BOINCers and those interested in running on a Raspberry Pi 4 (64bit), please note that the latest Debian Repos / Raspbian 64bit OS images have an issue with BOINC. This may appear as the BOINC client / BOINC manager saying you do not have a "GUI-RPC" permissions or password, and make the process of having the BOINC GUI working more frustrating than it should be. There's a few guides and other forum posts on this issue, but I shall probably make a quick step by step guide to ensure BOINC is operating properly *if* your 64bit ARM distribution wants to not play nice
10 Aug 2021, 0:56:07 UTC · Discuss
Kaktwoos version 2.13 released + reminders for Nvidia Linux OpenCL packages
We've released the latest version of Kaktwoos-cl, which is now 2.13!
In this update, we've added further checks for GPU model detection and printout for what GPU and its 'name' a given Kaktwoos-cl task is on. Please note that we highly suggest you run sudo apt-get install nvidia-opencl-dev if you are on Ubuntu or Debian (or a corresponding package + command on your distro) in order to install the missing OpenCL headers and allow Kaktwoos-cl to run. We would appreciate that all BOINC users thinking or currently running Nvidia GPUs on Linux to verify that BOINC tasks are not reporting computation errors accidentally, and leaving them running 'carelessly'. We have not truly resolved the very rare 'stuck at 100% / Infinite Task' post-crash issue, and we recommend for those tasks to be aborted manually if you encounter one at >99% for more than 10 minutes on a new GPU.
Nvidia GPUs will use one of two kernels depending on their age and model. For example, any RTX or 16xx (Turing) GPU shall continue to use optimizations introduced in Kaktwoos v2.10. Older or weaker GPU models shall use the previous kernel, which means we should see a 5% boost to any GPUs reported to have a regression, as some of you may reported on our BOINC threads.
AMD RDNA1/2 GPUs are now detected and matched to use another set of optimizations, increasing their speed to their original (pre 2.10) or further increasing it. Due to architectural differences, changes made that improved GCN (ie RX 480, Vega 56) performance by 25-40% reduced RDNA 1/2 performance by up to 2X, which is now mitigated.
All task outputs will include the seed range searched as well (s: and e: parameters) for general interest and debugging potential. Otherwise, there is not much left I (Hy) feel there is to code for Kaktwoos-cl, and CPU projects are now more of a focus for [email protected] than before, as you may have seen with our OneChunk pre-announcement.
6 Jun 2021, 18:39:47 UTC · Discuss
OneChunk CPU Pre-Announcement (X86_64 & ARM64)
Over on the [email protected] discord, Boysanic ("Boincboi"), Matt (Stronghold simulation coding), other developers and I have been discussing and planning a rollout of our first CPU application. This OneChunk project is "a BOINC project in the works. Our goal is to find all world seeds w/ at least an 11 eye portal in MC Java 1.7.10". So, if this all works out, "you'll finally be able to say you've found an 11 eye portal by yourself!"
Essentially, we are combining parts of the "SSG" (Seed-Speedrun) and 11-eye portal seed-filtering programs together to go through a large dataset. This input file is 9GB in size, but we plan to split it up into many small manageable tasks to be distributed through BOINC, which is where you come in! Going through a 320kb sample input takes a 4.8GHz Ryzen 5800 (the fastest single-core CPU) around 2 minutes, simulating and checking over 5,220 worldseeds a second. A 2GHz Raspberry Pi 4, with 64bit Raspbian manages to compute 1,370 worldseeds a second, making it around 3.8x slower but much more efficient. (45W vs 5W)
Thanks to work by other developers, I have tested and confirmed that both x86_64 ("64bit Windows and Linux") and ARM64 (64bit Linux ARMv8) configurations will work. The OneChunk 'Filter9000' BOINC application is single-threaded, but will likely have multiple tasks running concurrently on your computer to best utilize its resources and scale to your unique hardware configurations. For 'PC' requirements, we suggest Ubuntu 18.04/20.04 64bit or Windows 7 / 10 64bit, running on an CPU such as an AMD FX or Intel 1st Gen Core i5/i7 CPU or newer.
If anyone has a Raspberry Pi 3(B/B+) or 4, we would like to invite you to install the latest 64bit Raspbian on a spare SDcard in preparation. We also expect Nvidia Jetson Nano/TX1/Xavier devices with Ubuntu 18.04 64bit or newer to successfully run our Arm64 tasks, once we configure our BOINC server to provide and schedule tasks for this platform.
Please follow instructions on the Raspberry Pi website, but we suggest that more experienced Pi users join us for this experiment! OS image below:
Also, check out our Forums for upcoming updates, and to see the first 25-Tall Superflat cactus!
3 May 2021, 15:46:34 UTC · Discuss