Enhancing Parallelism of Data-Intensive Bioinformatics Applications

Bioinformatics data-resources collected from heterogeneous and distributed sources can contain hundreds of Terra-Bytes and the efficient exploration on these large amounts of data is a critical task to enable scientists to gain new biological insight. In this work, an MPI-based parallel architecture has been designed for enhancing performance of biomedical data intensive applications. The experiment results show the system has achieved super-linear speedup and high scalability.