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Simplicity Done Right for SIMDified Query Processing on CPU and FPGA.

SiMoDSIGMOD(2023)

Dresden Database Research Group | Programmable Solutions Group

Cited 1|Views32
Abstract
We present a simple but effective solution idea to port SIMDified query processing code to Intel® FPGA cards for acceleration. The main advantage of our approach is the seamless integration with existing SIMD abstraction libraries originally developed to overcome SIMD heterogeneity on x86-processors. Moreover, our approach has the practical benefit to be straightforwardly implemented in C++ without the necessity of complex FPGA-specific programming. Our initial results are very promising, demonstrating a novel approach to comprehensively integrate Intel® FPGAs into the prevailing SIMDified processing on the CPU with reasonable effort.
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要点】:本文提出了一种简单而有效的方法,将SIMD化的查询处理代码迁移至Intel FPGA卡上以实现加速,同时无缝集成现有的SIMD抽象库,并能在不涉及复杂FPGA编程的情况下用C++实现。

方法】:研究利用现有的SIMD抽象库,通过简化的方法将SIMD查询处理代码转移到FPGA上,以充分利用FPGA的并行处理能力。

实验】:通过实验验证了该方法的可行性,使用的数据集未明确提及,但结果显示了该方案在合理的工作量下,能够将Intel FPGA有效地集成到现有的CPU SIMD化处理中,并取得了初步的积极成果。