Microsecond-scale BFT using Disaggregated Memory

Check out our ASPLOS paper for more details!

Build Requirements

• conan package manager

  pip3 install --user "conan>=1.47.0"

  make sure to set the default ABI to C++11 with:

  conan profile new default --detect  # Generates default profile detecting GCC and sets old ABI
  conan profile update settings.compiler.libcxx=libstdc++11 default  # Sets libcxx to C++11 ABI

• cmake v3.9.x

• ninja

• gawk

• libibverbs-dev

• libmemcached-dev

• Other non-essential dependencies are given in the Dockerfile.

Build

Run from within the root:

./build.py

this will create all conan packages and build the executables.

Note: If gcc is available, it is used as the default compiler. In a system with clang only, then clang becomes the default compiler. In any case, you can check the available compilers/compiler versions by calling ./build.py --help.

Note: If your compiler is newer than gcc-11 or clang-12, you need to add profiles and edit the supported versions list.

Docker

You can manually build the Dockerfile under the root of this repo.

docker build -t ubft .

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Usage

Follow the instructions on the artifacts repository!

License

Shield:

This work is licensed under a Creative Commons Attribution 4.0 International License.