Packet Classification is used by networking applications to sort packets into flows by comparing their header with alist of rules such that packets will be placed in the flow based on matched rule. With advance in technology and larger storagecapacity available in computers, large amount of data needs to be processed leading to larger classification times. Decision treeClassification (DTC) is a known classifier for packet classification. In this paper, a hardware accelerator for DTC implementationis proposed which consists of parallel nodes independently processing data from a streaming source.