This article presents a framework, Genesis (genome analysis), to efficiently and flexibly accelerate generic data manipulation operations that have become performance bottlenecks in the genomic data processing pipeline utilizing FPGAs-as-a-service. Genesis conceptualizes genomic data as a very large relational database and uses extended SQL as a domain-specific language to construct data manipulation queries. To accelerate the queries, we designed a Genesis hardware library of efficient coarse-grained primitives that can be composed into a specialized dataflow architecture. This approach explores a systematic and scalable methodology to expedite domain-specific end-to-end accelerated system development and deployment.

中文翻译：

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使用可组合硬件加速框架加速基因组数据分析

本文介绍了一个框架 Genesis（基因组分析），以高效灵活地加速通用数据操作操作，这些操作已成为利用 FPGA 即服务的基因组数据处理管道中的性能瓶颈。Genesis 将基因组数据概念化为一个非常大的关系数据库，并使用扩展 SQL 作为特定领域的语言来构建数据操作查询。为了加速查询，我们设计了一个有效的粗粒度原语的 Genesis 硬件库，可以组合成一个专门的数据流架构。这种方法探索了一种系统的、可扩展的方法，以加快特定领域的端到端加速系统开发和部署。