From 27e3e24cc374347fc890137ac2bcc2bbbde41043 Mon Sep 17 00:00:00 2001
From: hamidrezanorouzi <72734524+hamidrezanorouzi@users.noreply.github.com>
Date: Sat, 19 Nov 2022 09:01:11 +0330
Subject: [PATCH] Update README.md

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 # PhasicFlow
-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 11M 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. 
+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).