GooFit is a massively-parallel framework, written in CUDA, for doing maximum-likelihood fits. It is also possible to build GooFit using OpenMP.

Requirements

• If using CUDA:
• CUDA 4.2 or 5.0
• An nVidia GPU supporting compute capability at least 2.0
• If building for OpenMP:
• a compiler supporting OpenMP

Installation

• Clone with git:

    git clone git://github.com/GooFit/GooFit.git
  

• check that the path setting in Makefile for CUDALOCATION is correct for your system

• If using OpenMP, CUDALOCATION should point at ./fakecuda

• Set TARGET_OMP = 1 in the Makefile

• Put ./fakcuda on your PATH, e.g. export PATH=$PATH:$HOME/GooFit/fakecuda (n.b. the use of g++ is hardwired in fakecuda/nvcc; this is bad)

• Install a copy of CUDA's thrust in ./thrust (there's nothing to compile)

• then compile with gmake.

As an alternative to modifying the Makefile, you can pass the values as e.g. gmake CUDALOCATION=$HOME/Src/GooFit/fakecuda TARGET_OMP=1

Building the Examples Fits

• If you have Root on your system,

• set the path to full root installation (bash syntax) export ROOTSYS=

• If you don't have Root, do NOT set ROOTSYS

• check that the path setting in examples/simpleFit/Makefile for CUDALOCATION is correct for your system

• If using OpenMP, CUDALOCATION should point at ./fakecuda

• Set TARGET_OMP = 1 in the Makefile

• change to the examples/simpleFit directory and buid the program(s): cd examples/simpleFit ; gmake all (you'll recall that you can set CUDALOCATION and TARGET_OMP on the command line instead of modifying the Makefile)

Running the Example Fit

• Setup the bin and library paths for root

    export PATH=$PATH:$ROOTSYS/bin:.
    # On Linux:
    export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$ROOTSYS/lib:<GooFit path>/rootstuff
    # On Mac:
    export DYLD_LIBRARY_PATH=$DYLD_LIBRARY_PATH:$ROOTSYS/lib:<GooFit path>/rootstuff
  

(If you don't have Root, don't modify the PATH and omit $ROOTSYS/lib:)

• To run the simple fit example type: ./simpleFitExample (If you didn't define ROOTSYS the data and fits will be written to stdout)

Acknowledgement

GooFit's development has been supported by the National Science Foundation under grant number NSF-1005530. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the developers and do not necessarily reflect the views of the National Science Foundation.