微风计算:一种在云端虚拟化fpga的即时(JIT)方法

Sen Ma, D. Andrews, Shanyuan Gao, Jaime Cummins
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引用次数: 6

摘要

在本文中,我们介绍了一种新的设计流程和体系结构,它允许程序员用编译代替合成,从而在数据中心和仓库规模的计算机中创建自定义加速器,这些计算机包括可重构的许多核心体系结构。在我们的新方法中,我们将fpga虚拟化为预定义的部分可重构块。然后,我们定义一个运行时解释器,它将编程模式的位流版本汇编到tile中。位流和软件可执行文件都保存在由应用程序程序员访问的库中。在我们的方法中,当首次为应用程序编程人员创建领域特定语言时,合成与软件编程模式的初始编码一起发生。初步结果表明,与合成相同功能所需的时间相比,该方法使硬件加速器的编译速度提高了100倍。初始性能结果进一步表明,与合成自定义加速器相比,编译/解释方法在矩阵操作和过滤方面可以获得大致相同的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Breeze computing: A just in time (JIT) approach for virtualizing FPGAs in the cloud
In this paper, we introduce a new design flow and architecture that lets programmers replace synthesis with compilation to create custom accelerators within data center and warehouse scale computers that include reconfigurable many core architectures. Within our new approach, we virtualize FPGAs into pre-defined partially reconfigurable tiles. We then define a run time interpreter that assembles bit stream versions of programming patterns into the tiles. The bit streams as well as software executables are maintained within libraries accessed by the application programmers. In our approach, synthesis occurs hand in hand with the initial coding of the software programming patterns when a Domain Specific Language is first created for the application programmers. Initial results show the approach allows hardware accelerators to be compiled 100x faster compared to the time required to synthesize the same functionality. Initial performance results further show a compilation/interpretation approach can achieve approximately equivalent performance for matrix operations and filtering compared to synthesizing a custom accelerator.
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