PLDSRC: A Multi-threaded Compressor/Decompressor for Massive DNA Sequencing Data

To face the rapid growth of DNA sequencing data, it is of great importance to study high efficiency compression techniques to reduce the cost of storing the massive amount of sequencing data. In this paper, we propose a parallel DNA data compressor/decompress or, PLDSRC, based on the famous serial DSRC software. We first analyze the compression and decompression algorithm in DSRC and identity three basic operations, namely read, work, and write. Then a single pipeline parallel algorithm is proposed to accelerate the compression/decompression procedure. To further exploit today´s popular multi-core, multi-socket systems based on the non-uniform memory access (NUMA) architecture, we extend the single pipeline approach to the multi-pipeline case. Experiments on two different platforms are done and show that PLDSRC in both single and multiple pipeline forms is able to speed up DNA sequencing data compression/decompression greatly, while maintaining the same compressing ratio. Examples indicate that the maximum speedup of PLDSRC on compressing and decompressing is respectively around 24.71x and 22.00x, as compared to the serial DSRC software.