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Design Space Analysis for the Acoustic Wave Equation Implementation on FPGA Circuits

机译:FPGA电路上声波方程实现的设计空间分析

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Seismic modeling and data processing operates on gigabyte to terabyte-size datasets and involves large CPU clusters running applications for extended periods of time.Accelerating these applications would make a big impact and the emerging new co-processor hardware architectures need to be carefully tested for this purpose. One of these new architectures is based on the reconfigurable circuit field-programmable gate arrays (FPGA). These circuits offer potentially large speedups of applications, but to succeed, the FPGA implementation of algorithms need to be carefully evaluated to discover the tradeoffs in compute capability, memory capacity and memory bandwidth. In many cases, taking the existing software implementation of an algorithm and mapping it to reconfigurable circuits does not result in the fastest implementation on FPGA. Careful evaluation of the various implementation strategies that we call design space analysis serves as an important tool to successfully implement an algorithm on FPGAs. In this abstract we provide a short design space analysis for a 3D acoustic forward modeling algorithm.
机译:地震建模和数据处理在千兆字节上运行到Terabyte大小的数据集,涉及扩展时间的大型CPU集群运行应用程序。传ce这些应用程序将对新兴的新协处理器硬件架构进行大量影响,因此需要仔细测试新兴的新协处理器硬件架构目的。其中一个新架构基于可重新配置的电路现场可编程门阵列(FPGA)。这些电路提供了潜在的应用程序,但要成功,需要仔细评估算法的FPGA实现,以发现计算能力,内存容量和内存带宽中的权衡。在许多情况下,采用现有的软件实现算法并将其映射到可重新配置的电路不会导致FPGA上最快实现。仔细评估我们呼叫设计空间分析的各种实施策略用作成功在FPGA上成功实现算法的重要工具。在此摘要中,我们为3D声学向前建模算法提供了一种简短的设计空间分析。

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