From de08c0af8231e4063538f4ad9634936505112f70 Mon Sep 17 00:00:00 2001
From: Hamidreza Norouzi <72734524+hamidrezanorouzi@users.noreply.github.com>
Date: Fri, 14 Apr 2023 10:02:16 -0700
Subject: [PATCH] Update README.md

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 README.md | 26 +++++++++++++-------------
 1 file changed, 13 insertions(+), 13 deletions(-)

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-# PhasicFlow
-<div align="center">
-<img src="doc/phasicFlow_logo_github.png" width="300">
+<div align ="center">
+<img src="doc/phasicFlow_logo_github.png" style="width: 400px;">
 </div>
-PhasicFlow is a parallel C++ code for performing DEM simulations. It can run on shared-memory multi-core computational units such as multi-core CPUs or GPUs (for now it works on CUDA-enabled GPUs). The parallelization method mainly relies on loop-level parallelization on a shared-memory computational unit. You can build and run PhasicFlow in serial mode on regular PCs, in parallel mode for multi-core CPUs, or build it for a GPU device to off-load computations to a GPU. In its current statues you can simulate millions of particles (up to 32M particles tested) on a single desktop computer. You can see the [performance tests of PhasicFlow](https://github.com/PhasicFlow/phasicFlow/wiki/Performance-of-phasicFlow) in the wiki page. 
 
-# How to build?
+
+**PhasicFlow** is a parallel C++ code for performing DEM simulations. It can run on shared-memory multi-core computational units such as multi-core CPUs or GPUs (for now it works on CUDA-enabled GPUs). The parallelization method mainly relies on loop-level parallelization on a shared-memory computational unit. You can build and run PhasicFlow in serial mode on regular PCs, in parallel mode for multi-core CPUs, or build it for a GPU device to off-load computations to a GPU. In its current statues you can simulate millions of particles (up to 32M particles tested) on a single desktop computer. You can see the [performance tests of PhasicFlow](https://github.com/PhasicFlow/phasicFlow/wiki/Performance-of-phasicFlow) in the wiki page. 
+
+## How to build?
 You can build PhasicFlow for CPU and GPU executions. [Here is a complete step-by-step procedure](https://github.com/PhasicFlow/phasicFlow/wiki/How-to-Build-PhasicFlow).
 
-# Online code documentation
+## Online code documentation
 You can find a full documentation of the code, its features, and other related materials on [online documentation of the code](https://phasicflow.github.io/phasicFlow/)
 
-# How to use PhasicFlow?
+## How to use PhasicFlow?
 You can navigate into [tutorials folder](./tutorials) in the phasicFlow folder to see some simulation case setups. If you need more detailed discription, visit our [wiki page tutorials](https://github.com/PhasicFlow/phasicFlow/wiki/Tutorials).  
 
-# Supporting packages
+## [PhasicFlowPlus](https://github.com/PhasicFlow/PhasicFlowPlus)
+PhasicFlowPlus is and extension to PhasicFlow for simulating particle-fluid systems using resolved and unresolved CFD-DEM. [See the repository of this package.](https://github.com/PhasicFlow/PhasicFlowPlus)
+
+
+## Supporting packages
 * [Kokkos](https://github.com/kokkos/kokkos) from National Technology & Engineering Solutions of Sandia, LLC (NTESS)
 * [CLI11 1.8](https://github.com/CLIUtils/CLI11) from University of Cincinnati.
 
-# Extensions in future
-### parallelization 
-* Extending the code for using OpenMPTarget backend to include more GPUs for off-loading the computations. 
-* Extending high-level parallelization and implementing space partitioning and load balancing for muilti-GPU computations and running PhasicFlow on distributed memory super-computers 
-