The　EFEN　code　for　high-performance　PWR　whole　core　pin-by-pin　calculation　based　on　the　EFEN-SP3　method　can　be　achieved　by　employing　spatial　parallelization　based　on　MPI.　To　take　advantage　of　the　advanced　computing　and　storage　power,　the　entire　problem　spatial　domain　can　be　appropriately　decomposed　into　sub-domains　and　then　assigned　to　parallel　CPUs　to　balance　the　computing　load　and　minimize　communication　cost.　Meanwhile,　Red-Black　Gauss-Seidel　nodal　sweeping　scheme　is　employed　to　avoid　the　within-group　iteration　deterioration　due　to　spatial　parallelization.　Numerical　results　based　on　whole　core　pin-by-pin　problems　designed　according　to　commercial　PWRs　demonstrate　the　following　conclusions:　The　EFEN　code　can　provide　results　with　acceptable　accuracy;　Communication　period　impacts　neither　the　accuracy　nor　the　parallel　efficiency;　Domain　decomposition　methods　with　smaller　surface　to　volume　ratio　leads　to　greater　parallel　efficiency;　A　PWR　whole　core　pin-by-pin　calculation　with　a　spatial　mesh　289×289×218　and　4　energy　groups　could　be　completed　about　900　s　by　using　125　CPUs,　and　its　parallel　efficiency　is　maintained　at　about　90%.　©,　2014,　Yuan　Zi　Neng　Chuban　She.　All　right　reserved.