论文标题
Filtpim：用于DNA测序的内存过滤器
FiltPIM: In-Memory Filter for DNA Sequencing
论文作者
论文摘要
使生物体的整个基因组对齐是一项计算密集型任务。预一致性通过过滤潜在的比对位置来大大降低计算复杂性。基本计数滤波器通过基于直方图的启发式方法成功地删除了68％的潜在位置。本文介绍了Filtpim，这是基于记忆中的回忆处理的基本过滤器的有效设计。内存的设计减少了CPU到内存数据传输，并利用了杂交内部和杂交间的熟悉状态逻辑并行性。与过滤器的CPU实现相比，数据传输的减少和有效的状态计算将过滤时间增加了100倍。
Aligning the entire genome of an organism is a compute-intensive task. Pre-alignment filters substantially reduce computation complexity by filtering potential alignment locations. The base-count filter successfully removes over 68% of the potential locations through a histogram-based heuristic. This paper presents FiltPIM, an efficient design of the basecount filter that is based on memristive processing-in-memory. The in-memory design reduces CPU-to-memory data transfer and utilizes both intra-crossbar and inter-crossbar memristive stateful-logic parallelism. The reduction in data transfer and the efficient stateful-logic computation together improve filtering time by 100x compared to a CPU implementation of the filter.
