The invention relates to a parallel optimization technology of a multiplayer online network game server. The method comprises the following four steps: performing parallel processing to the two tasks of generating entity interest area update hash table and synchronous hash table based on the mode of group task, wherein the two hash tables can ensure that the server can not calculate the information of the interest area of entity and synchronous entity frame by frame; performing parallel computation to the interest list of each entity based on the decomposition mode of data, wherein the interest list records which client end is interested in the entity; performing parallel processing to the game logic of the server based on the decomposition mode of data, wherein the game logic comprises entity position update, damage computation, collision detection and the like; and performing parallel synchronization to the information of the client end and server based on the decomposition mode of data. The invention distributes calculated loads such as interest filtration and server logic treatment to a plurality of treatments, thus increasing the real-time property of game and the number of loaded players.