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SmartSSD: FPGA Accelerated Near-Storage Data Analytics on SSD
IEEE Computer Architecture Letters ( IF 2.3 ) Pub Date : 2020-07-01 , DOI: 10.1109/lca.2020.3009347
Joo Hwan Lee , Hui Zhang , Veronica Lagrange , Praveen Krishnamoorthy , Xiaodong Zhao , Yang Seok Ki

Faced with the increasing disparity between SSD throughput and CPU-based compute capabilities, there have been growing interests to move compute closer to storage and accelerate the data analytic workloads. In this letter, we propose SmartSSD, an SSD with onboard FPGA, which enables offloading computation within SSD. We perform a detailed model-based evaluation to evaluate the end-to-end performance and energy benefit of SmartSSD for the representative data analytic workloads with Spark SQL and Parquet columnar data format. Our evaluation shows that SmartSSD has the potential to have a transformative impact when building a high performance data analytic system, which enables 3.04x performance improvement and consuming only 45.8 percent of energy compared to the conventional CPU-based approach.

中文翻译:

SmartSSD:FPGA 加速 SSD 上的近存储数据分析

面对 SSD 吞吐量和基于 CPU 的计算能力之间日益扩大的差距,人们越来越有兴趣将计算移近存储并加速数据分析工作负载。在这封信中,我们提出了 SmartSSD,这是一种带有板载 FPGA 的 SSD,可以在 SSD 内卸载计算。我们执行基于模型的详细评估,以评估 SmartSSD 对具有 Spark SQL 和 Parquet 列式数据格式的代表性数据分析工作负载的端到端性能和能源优势。我们的评估表明,SmartSSD 有可能在构建高性能数据分析系统时产生变革性影响,与传统的基于 CPU 的方法相比,它可以实现 3.04 倍的性能提升,并且仅消耗 45.8% 的能量。
更新日期:2020-07-01
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