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Computing Models for FPGA-Based Accelerators
Computing in Science & Engineering ( IF 2.1 ) Pub Date : 2008-11-01 , DOI: 10.1109/mcse.2008.143
Martin C Herbordt 1 , Yongfeng Gu , Tom Vancourt , Josh Model , Bharat Sukhwani , Matt Chiu
Affiliation  

Field-programmable gate arrays are widely considered accelerators for compute-intensive applications. A critical phase of FPGA application development is finding and mapping to the appropriate computing model. These models differ from models generally used in programming. For example, whereas parallel computing models are often based on thread execution and interaction, FPGA computing can exploit more degrees of freedom than are available in software. This enables models with highly flexible fine-grained parallelism and associative operations such as broadcast and collective response. Several case studies demonstrate the effectiveness of using FPGA-based accelerators in molecular modeling.

中文翻译:

基于 FPGA 的加速器的计算模型

现场可编程门阵列被广泛认为是计算密集型应用的加速器。FPGA 应用程序开发的一个关键阶段是寻找并映射到适当的计算模型。这些模型不同于通常用于编程的模型。例如,并行计算模型通常基于线程执行和交互,而 FPGA 计算可以利用比软件更多的自由度。这使模型具有高度灵活的细粒度并行性和关联操作,例如广播和集体响应。几个案例研究证明了在分子建模中使用基于 FPGA 的加速器的有效性。
更新日期:2008-11-01
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