An LA-SiGMA Software Distribution
                                Parquet package
                             Version 1.0 - Jan 2015
                  Copyright 2015 Louisiana State University

The parquet code is a massively parallel Fortran 90/95 package that implements 
an iterative solution of the diagrammatic parquet equations. In this code, the 
fully irreducible vertex is approximated by the bare interaction, resulting in 
the so-called parquet approximation. For a given Hubbard model, the code 
requires as input the hoping integrals, the Coulomb interaction and the 
temperature. Upon convergence, it produces the self-energy, the one-particle 
Green's function and the different vertex functions that are essential for the 
understanding of the underlying physics (superconductivity, magnetism,...). The 
parquet solver is available at the following link. It includes the source codes, 
a makefile and a typical input file as well as the corresponding output files.

* Configuration and compilation

   ./src contains source codes, expample input and Makefile
   To compile and run the code, you need to choose the suitable MPI Fortran 
   compiler and the lapack, blas libraries by editing the Makefile under ./src.
   
   You may start compiling after you change directory to ./src.

   $cd src

   To compile the code:
  
   $make 

   To compile and run the code:

   $make run

   The code will compile and run using a given input file ("indat_single").

   To clean up the src directory:

   $make clean

* Documentation

   Details notes on the background of this code can be found in doc/parquet.pdf.

* Sample data
  
   Example input and output can be found under ./data. 

Please direct all inquiries about this package to Shuxiang Yang,
yangphysics@gmail.com.

This code was developed by Shuxiang Yang <yangphysics@gmail.com> with 
the assistance of Herbert Fotso <herbert.fotso@gmail.com>, 
Jun Liu <jun.physics@gmail.com>, Eduardo D'Azevedo <e6d@ornl.gov>, 
Karen Tomko <katomko@gmail.com>, Mark Jarrell <jarrellphysics@gmail.com>, 
and Thomas Maier<maierta@ornl.gov>.

This work was initially supported by DOE SciDAC program (DE-FC02-10ER25916 
and DE-FC02-06ER25792), and later by the NSF PIRE program and the NSF LA-SiGMA
EPSCoRprogram  (Cooperative Agreement No. EPS-1003897) with additional support 
from the Louisiana Board of Regents.

LA-SiGMA, the Louisiana Alliance for Simulation-Guided Materials
Applications, is a statewide interdisciplinary collaboration of
material and computer scientists developing computational resources
tuned for the latest generation of accelerator-equipped systems. The
Alliance also develops graduate curricula and is engaged in multiple
outreach activities. Visit us at http://lasigma.loni.org .