Studies on High-Performance Data Encoder

Due to various circumstances within a computing system, it is essential to match incoming data with the received data to ensure the accurate retrieval of information. Data matching involves comparing different data sets to verify their consistency. If discrepancies are found, an appropriate algorithm is applied to identify and correct the inconsistencies. Given the universal need for accurate data retrieval, extensive research is being conducted in this domain. In this project, we propose a new architecture known as the Renovated Butterfly Weight Accumulator (BWAR), wherein the adder block is modified to calculate Hamming Distance, reducing complexity and enhancing efficiency. BWAR also incorporates a testable feature.