This paper presents a reconfigurable LDPC decoder implementation fully compliant with all the configurations in the 5G NR standard. Based on the row-based layered normalized Min-Sum (NMS) algorithm, the optimization approaches are proposed to solve the data dependency hazard in the pipeline process. The proposed instruction-level reordering diminishes the redundant latency of our pipelined decoder architecture. Moreover, the proposed data-level rescheduling optimizes the decoding sequence to remove the remaining pipeline stalls in the high-throughput design without decoding performance degradation. Evaluated in Xilinx VCU1525 FPGA, our design achieves a throughput of 6.7 Gbps per iteration. Implemented in TSMC 28nm CMOS process at the post-layout stage, a 33.2 Gbps, in one iteration, throughput can be achieved at a clock rate 556 MHz with the core area 1.97 mm^2.