Number of Threads: 16
Number of Buckets: 2^8 (256)
Working Directory:   /mnt/tmp3/chia/tmp/ 
Working Directory 2: /mnt/tmp3/chia/tmp/ram/
[P1] Table 1 took 17.2488 sec
[P1] Table 2 took 145.011 sec, found 4294911201 matches
[P1] Table 3 took 170.86 sec, found 4294940789 matches
[P1] Table 4 took 203.713 sec, found 4294874801 matches
[P1] Table 5 took 201.346 sec, found 4294830453 matches
[P1] Table 6 took 195.928 sec, found 4294681297 matches
[P1] Table 7 took 158.053 sec, found 4294486972 matches
Phase 1 took 1092.2 sec
[P2] max_table_size = 4294967296
[P2] Table 7 scan took 15.5542 sec
[P2] Table 7 rewrite took 37.7806 sec, dropped 0 entries (0 %)
[P2] Table 6 scan took 46.7014 sec
[P2] Table 6 rewrite took 65.7315 sec, dropped 581295425 entries (13.5352 %)
[P2] Table 5 scan took 45.4663 sec
[P2] Table 5 rewrite took 61.9683 sec, dropped 761999997 entries (17.7423 %)
[P2] Table 4 scan took 44.8217 sec
[P2] Table 4 rewrite took 61.36 sec, dropped 828847725 entries (19.2985 %)
[P2] Table 3 scan took 44.9121 sec
[P2] Table 3 rewrite took 61.5872 sec, dropped 855110820 entries (19.9097 %)
[P2] Table 2 scan took 43.641 sec
[P2] Table 2 rewrite took 59.6939 sec, dropped 865543167 entries (20.1528 %)
Phase 2 took 620.488 sec
Wrote plot header with 268 bytes
[P3-1] Table 2 took 73.1018 sec, wrote 3429368034 right entries
[P3-2] Table 2 took 42.3999 sec, wrote 3429368034 left entries, 3429368034 final
[P3-1] Table 3 took 68.9318 sec, wrote 3439829969 right entries
[P3-2] Table 3 took 43.8179 sec, wrote 3439829969 left entries, 3439829969 final
[P3-1] Table 4 took 71.3236 sec, wrote 3466027076 right entries
[P3-2] Table 4 took 46.2887 sec, wrote 3466027076 left entries, 3466027076 final
[P3-1] Table 5 took 70.6369 sec, wrote 3532830456 right entries
[P3-2] Table 5 took 45.5857 sec, wrote 3532830456 left entries, 3532830456 final
[P3-1] Table 6 took 75.8534 sec, wrote 3713385872 right entries
[P3-2] Table 6 took 48.8266 sec, wrote 3713385872 left entries, 3713385872 final
[P3-1] Table 7 took 83.2586 sec, wrote 4294486972 right entries
[P3-2] Table 7 took 56.3803 sec, wrote 4294486972 left entries, 4294486972 final
Phase 3 took 733.323 sec, wrote 21875928379 entries to final plot
[P4] Starting to write C1 and C3 tables  
[P4] Finished writing C1 and C3 tables   
[P4] Writing C2 table
[P4] Finished writing C2 table
Phase 4 took 84.6697 sec, final plot size is 108828428322 bytes
Total plot creation time was 2530.76 sec 

Binaries built by stotiks can be found here: https://github.com/stotiks/chia-plotter/releases

First, install dependencies from pacman:

sudo pacman -S cmake libsodium gmp gcc11

Then, clone and compile the project:

# Checkout the source and install
git clone https://github.com/madMAx43v3r/chia-plotter.git
cd chia-plotter

git submodule update --init
./make_devel.sh
./build/chia_plot --help

git clone https://github.com/madMAx43v3r/chia-plotter.git
cd chia-plotter

git submodule update --init
sudo yum install epel-release -y
sudo yum install cmake3 libsodium libsodium-static -y
ln /usr/bin/cmake3 /usr/bin/cmake
# Install a package with repository for your system:
# On CentOS, install package centos-release-scl available in CentOS repository:
sudo yum install centos-release-scl -y
# Install the collection:
sudo yum install devtoolset-7 -y
# Start using software collections:
scl enable devtoolset-7 bash
./make_devel.sh
./build/chia_plot --help

sudo swupd update
sudo swupd bundle-add c-basic devpkg-libsodium git wget

echo PATH=$PATH:/usr/local/bin/ # for statically compiled cmake if not already in your PATH

# Install libsodium
cd /tmp
wget https://download.libsodium.org/libsodium/releases/LATEST.tar.gz
tar -xvf LATEST.tar.gz
cd libsodium-stable
./configure
make && make check
sudo make install
# Checkout the source and install
cd ~/
git clone https://github.com/madMAx43v3r/chia-plotter.git 
cd ~/chia-plotter
git submodule update --init
./make_devel.sh
./build/chia_plot --help

sudo apt install -y libsodium-dev cmake g++ git build-essential
# Checkout the source and install
git clone https://github.com/madMAx43v3r/chia-plotter.git 
cd chia-plotter

git submodule update --init
./make_devel.sh
./build/chia_plot --help

The binaries will end up in build/, you can copy them elsewhere freely (on the same machine, or similar OS).

Make sure to add buster-backports to your sources.list otherwise the installation will fail because an older cmake version. See the debian backport documentation for reference.

# Install cmake 3.16 from buster-backports
sudo apt install -t buster-backports cmake
sudo apt install -y libsodium-dev g++ git
# Checkout the source and install
git clone https://github.com/madMAx43v3r/chia-plotter.git 
cd chia-plotter

git submodule update --init
./make_devel.sh
./build/chia_plot --help

The binaries will end up in build/, you can copy them elsewhere freely (on the same machine, or similar OS).

First you need to install the Brew package manager and Xcode OR Xcode Command Line Tools.

# Download Xcode Command Line Tools (skip if you already have Xcode)
xcode-select --install

# Now download chia-plotter's dependencies
brew install libsodium cmake git autoconf automake libtool wget
brew link cmake
git clone https://github.com/madMAx43v3r/chia-plotter.git 
cd chia-plotter
git submodule update --init
./make_devel.sh
./build/chia_plot --help

Linking libsodium should be performed automatically, but in case of failure please follow these instructions:

# If you downloaded Xcode run these:
sudo ln -s /usr/local/include/sodium.h /Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX.sdk/usr/include/
sudo ln -s /usr/local/include/sodium /Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX.sdk/usr/include/

# If you downloaded CommandLineTools run these:
sudo ln -s /usr/local/include/sodium.h /Library/Developer/CommandLineTools/usr/include
sudo ln -s /usr/local/include/sodium /Library/Developer/CommandLineTools/usr/include

Confirm which directory you have on YOUR Mac before applying following commands

# For x86_64 Macs
wget https://raw.githubusercontent.com/facebookincubator/fizz/master/build/fbcode_builder/CMake/FindSodium.cmake -O /usr/local/opt/cmake/share/cmake/Modules/FindSodium.cmake

or

# For ARM64 (M1) Macs
wget https://raw.githubusercontent.com/facebookincubator/fizz/master/build/fbcode_builder/CMake/FindSodium.cmake -O /opt/homebrew/Cellar/cmake/*/share/cmake/Modules/FindSodium.cmake

If a maximum open file limit error occurs (as default OS setting is 256, which is too low for default bucket size of 256), run this before starting the plotter

ulimit -n 3000

This file limit change will only affect the current session.

In some setups and scenarios, it could be useful to run your plotter inside a Docker container. This could be potentially useful while running chia-plotter in Windows.

To do so, install Docker on your computer and them run the following command:

docker run \
  -v <path-to-your-tmp-dir>:/mnt/harvester \
  -v <path-to-your-final-dir>:/mnt/farm \
  odelucca/chia-plotter \
    -t /mnt/harvester/ \
    -d /mnt/farm/ \
    -p <pool-key> \
    -f <farm-key> \
    -r <number-of-CPU-cores>

💡 You can provide any of the plotter arguments after the image name (odelucca/chia-plotter)

In a Linux benchmark, we were able to find that running in Docker is only 5% slower than running in native OS.

For Windows users, you should check if your Docker configuration has any RAM or CPU limits. Since Docker runs inside HyperV, that could potentially constrain your hardware usage. In any case, you can set the RAM limits with the -m flag (after the docker run command).

Regarding multithread in Docker

While running in Windows, you may need to proper configure your Docker to allow multi CPUs. You can do so by following this article

In a nutshell, you could also pass the --cpus flag to your docker run command in order to achieve the same result.

So, for example, the following command...

docker run \
  -v <path-to-your-tmp-dir>:/mnt/harvester \
  -v <path-to-your-final-dir>:/mnt/farm \
  -m 8G \
  --cpus 8 \
  odelucca/chia-plotter \
    -t /mnt/harvester/ \
    -d /mnt/farm/ \
    -p <pool-key> \
    -f <farm-key> \
    -r 8

...would run your plotter with 8 CPU cores and 8GB of RAM.

Building a Docker container

Make sure your submodules are up-to-date by running git submodule update --init, then simply build with docker build .