Routing　algorithms　is　a　key　factor　that　determines　the　performance　of　NoC　(Networks-on-Chip)　systems.　Regional　congestion　awareness　routing　algorithms　have　shown　great　potential　in　improving　the　performance　of　NoC.　However,　it　incurs　a　significant　queuing　latency　when　practitioners　use　existing　regional　congestion　awareness　routing　algorithms　to　make　routing　decisions,　thus　degrading　the　performance　of　NoC.　In　this　paper,　we　propose　an　efficient　area　partition-based　congestion-aware　routing　algorithm,　ParRouting,　which　aims　at　increasing　the　throughput　and　reducing　the　latency　for　NoC　systems.　First,　ParRouting　partitions　the　network　into　two　areas　(i.e.,　edge　area　and　central　area.)　based　on　node　priorities.　Then,　for　the　edge　area,　ParRouting　selects　the　output　node　based　on　different　priorities　for　higher　throughput;　for　the　central　area,　ParRouting　selects　the　node　in　the　low　congestion　direction　as　the　output　node　for　lower　queuing　latency.　Our　experimental　results　indicate　that　ParRouting　achieves　a　53.4%　reduction　in　packet　average　latency　over　SPLASH　-2　ocean　application　and　improves　the　saturated　throughput　by　up　to　38.81%　over　a　synthetic　traffic　pattern　for　an　NoC　system,　compared　to　existing　routing　algorithms.