paulgessinger/traccc

Demonstrator tracking chain on accelerators

traccc

Demonstrator tracking chain for accelerators.

Requirements and dependencies

OS & compilers:

• gcc should support c++17
• Following table lists the (currently idenfitifed) working combinations of OS and compilers.

OS	gcc	cuda	comment
Ubuntu 20.04	9.3.0	11.3	runs on CI
Centos 8	8.4.1	11.3

Data directory

• the data directory is a submodule hosted as git lfs on https://gitlab.cern.ch/acts/traccc-data

Getting started

Clone the repository

Clone the repository and setup up the submodules, this requires git-lfs for the data from the traccc-data repository.

git clone [email protected]:acts-project/traccc.git
cd traccc
git submodule update --init

Build the project

cmake -S . -B <build_directory>
cmake --build <build_directory> <options>

Build options

Option	Description
TRACCC_BUILD_CUDA	Build the CUDA sources included in traccc
TRACCC_BUILD_SYCL	Build the SYCL sources included in traccc
TRACCC_BUILD_TESTING	Build the (unit) tests of traccc
TRACCC_USE_SYSTEM_VECMEM	Pick up an existing installation of VecMem from the build environment
TRACCC_USE_SYSTEM_EIGEN3	Pick up an existing installation of Eigen3 from the build environment
TRACCC_USE_SYSTEM_ALGEBRA_PLUGINS	Pick up an existing installation of Algebra Plugins from the build environment
TRACCC_USE_SYSTEM_DFELIBS	Pick up an existing installation of dfelibs from the build environment
TRACCC_USE_SYSTEM_DETRAY	Pick up an existing installation of Detray from the build environment
TRACCC_USE_SYSTEM_ACTS	Pick up an existing installation of Acts from the build environment
TRACCC_USE_SYSTEM_GOOGLETEST	Pick up an existing installation of GoogleTest from the build environment

Examples

cpu reconstruction chain

<build_directory>/bin/seq_example tml_detector/trackml-detector.csv tml_pixels/ <number of events> 

cuda reconstruction chain

• Users can generate cuda examples by adding -DTRACCC_BUILD_CUDA=ON to cmake options

<build_directory>/bin/seq_example_cuda tml_detector/trackml-detector.csv tml_pixels/ <number of events> <run cpu tracking>