Accelerating FM-index Search for Genomic Data Processing

Abstract

The deluge of genomics data is incurring prohibitively high computational costs. As an important building block for genomic data processing algorithms, FM-index search occupies most of execution time in sequence alignment. Due to massive random streaming memory references relative to only small amount of computations, FM-index search algorithm exhibits extremely low efficiency on conventional architectures. This paper proposes Niubility, an accelerator for FM-index search in genomic sequence alignment. Based on our algorithm-architecture co-design analysis, we found that conventional architectures exploit low memory-level parallelism so that the available memory bandwidth cannot be fully utilized. Niubility accelerator customizes bit-wise operations and exploit data-level parallelism, that produces maximal concurrent memory accesses to saturate memory bandwidth. We implement an accelerator ASIC in a ST 28nm process that achieves up to 990x speedup over the state-of-the-art software.