Due　to　its　Lagrangian　nature,　Smoothed　Particle　Hydrodynamics　(SPH)　has　been　used　to　solve　a　variety　of　fluid-dynamic　processes　with　highly　nonlinear　deformation　such　as　debris　flows,　wave　breaking　and　impact,　multi-phase　mixing　processes,　jet　impact,　flooding　and　tsunami　inundation,　and　fluid-structure　interactions.　In　this　study,　the　SPH　method　is　applied　to　solve　the　two-dimensional　Shallow　Water　Equations　(SWEs),　and　the　solution　proposed　was　validated　against　two　open-source　case　studies　of　a　2-D　dry-bed　dam　break　with　particle　splitting　and　a　2-D　dam　break　with　a　rectangular　obstacle　downstream.　In　addition　to　the　improvement　and　optimization　of　the　existing　algorithm,　the　CPU-OpenMP　parallel　computing　was　also　implemented,　and　it　was　proven　that　the　CPU-OpenMP　parallel　computing　enhanced　the　performance　for　solving　the　SPH-SWE　model,　after　testing　it　against　three　large　sets　of　particles　involved　in　the　computational　process.　The　free　surface　and　velocities　of　the　experimental　flows　were　simulated　accurately　by　the　numerical　model　proposed,　showing　the　ability　of　the　SPH　model　to　predict　the　behavior　of　debris　flows　induced　by　dam-breaks.　This　validation　of　the　model　is　crucial　to　confirm　its　use　in　predicting　landslides＇　behavior　in　field　case　studies　so　that　it　will　be　possible　to　reduce　the　damage　that　they　cause.　All　the　changes　made　in　the　SPH-SWEs　method　are　made　open-source　in　this　paper　so　that　more　researchers　can　benefit　from　the　results　of　this　research　and　understand　the　characteristics　and　advantages　of　the　solution　proposed.