Measuring and Modeling the Power Consumption of Energy-Efficient FPGA Coprocessors for GEMM and FFT

Giefers Heiner; Polig Raphael; Hagleitner Christoph

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Measuring and Modeling the Power Consumption of Energy-Efficient FPGA Coprocessors for GEMM and FFT

机译：测量和建模GEMM和FFT的高效FPGA协处理器的功耗

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摘要

In this paper we analyze the power consumption and energy efficiency of general matrix-matrix multiplication (GEMM) and Fast Fourier Transform (FFT) implemented as streaming applications for an FPGA-based coprocessor card. The power consumption is measured with internal voltage sensors and the power draw is broken down onto the systems components in order to classify the energy consumed by the processor cores, the memory, the I/O links and the FPGA card. We present an abstract model that allows for estimating the power consumption of FPGA accelerators on the system level and validate the model using the measured kernels. The performance and energy consumption is compared against optimized multi-threaded software running on the POWER7 host CPUs. Our experimental results show that the accelerator can improve the energy efficiency by an order of magnitude when the computations can be undertaken in a fixed point format. Using floating point data, the gain in energy-efficiency was measured as up to 30 % for the double precision GEMM accelerator and up to 5 x for a 1k complex FFT.

机译：在本文中，我们分析了通用矩阵矩阵乘法（GEMM）和快速傅里叶变换（FFT）在基于FPGA的协处理器卡中作为流应用程序实现的功耗和能效。使用内部电压传感器测量功耗，并将功耗分为系统组件，以便对处理器内核，存储器，I / O链接和FPGA卡所消耗的能量进行分类。我们提供了一个抽象模型，该模型可用于估计系统级FPGA加速器的功耗，并使用测得的内核来验证该模型。将性能和能耗与在POWER7主机CPU上运行的优化多线程软件进行了比较。我们的实验结果表明，当以定点格式进行计算时，加速器可以将能量效率提高一个数量级。使用浮点数据，双精度GEMM加速器的能量效率增益高达30％，1k复数FFT的能量效率高达5x。

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来源
《Journal of signal processing systems for signal, image, and video technology》 |2016年第3期|307-323|共17页
作者
Giefers Heiner; Polig Raphael; Hagleitner Christoph;
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作者单位

IBM Res Zurich, Ruschlikon, Switzerland;

IBM Res Zurich, Ruschlikon, Switzerland;

IBM Res Zurich, Ruschlikon, Switzerland;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类
关键词
FPGA GEMM accelerator architecture; FPGA FFT accelerator architecture; FPGA stream processing; Energy efficiency analysis; CPU/FPGA power measurements; Hybrid CPU/FPGA system; Power profiling; Power estimation;

机译：FPGA GEMM加速器体系结构;FPGA FFT加速器体系结构;FPGA流处理;能效分析;CPU / FPGA功率测量;混合CPU / FPGA系统;功耗分析;功耗估算;

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Measuring and Modeling the Power Consumption of Energy-Efficient FPGA Coprocessors for GEMM and FFT

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