An LA-SiGMA Software Distribution
GPU Accelerated Dynamical Cluster Approximation Hirsch-Fye Quantum Monte Carlo
                  Version 0.9 (r000) - 17 April 2014
              Copyright 2014 Louisiana State University

This package contains source, documentation, and sample data for the
original Fortran implementation of Dynamical Cluster Approximation
(DCA) using Hirsch-Fye Quantum Monte Carlo (HFQMC) as the cluster
solver and the GPU accelerated code.

This code can be used to solve the Hubbard model for 1D, 2D and 3D
cases at different fillings. And it can be easily adapted to simulate
the Anderson lattice model. The code focuses on the square lattice
where the so-called Betts clusters in addition to the usual cubic
clusters are used. It should be straightforward to generalize to the
triangular or honeycomb lattices.

The DCA-HFQMC Fortran code is a massively parallel (MPI+OpenMP)
Fortran code originally built by Mark Jarrell and his
collaborators. To speed up the computation within the nowadays
high-performance hardware structure, especially the Graphics
Processing Unit (GPU) architecture, parts of the code have being
rewritten in CUDA to enable large data re-use and accelerate the
calculation. The GPU's sheer number of concurrent parallel computations
and large bandwidth to many shared memories takes advantage of the
inherent parallelism in the Green function update and measurement
routines, and can substantially improve the efficiency of the HFQMC
cluster solver.

Step-by-step setup and operating instructions can be found in
doc/instructions.txt.

For the latest version and other resources visit
http://lasigma.loni.org/package/hirsch-fye .

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 .

The accelerator ports of this code were developed by Sameer Abu Asal, Conrad 
Moore, with help from Shuxiang Yang, Juana Moreno, and Mark Jarrell.

This work was supported in part by the National Science Foundation
under the NSF EPSCoR Cooperative Agreement No. EPS-1003897.