用于矩阵乘法的fpga和可编程处理器的能量效率

R. Scrofano, S. Choi, V. Prasanna
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引用次数: 37

摘要

技术的进步使fpga和嵌入式处理器能够与数字信号处理器(dsp)竞争。在本文中,我们评估了fpga,嵌入式处理器和dsp在乘以两个n /spl乘以/ n矩阵时的延迟和能效方面的性能。作为具体的例子,我们选择了每种类型设备的代表。我们的结果表明,与其他两种类型的器件相比,fpga可以以更低的延迟和更低的能耗乘以两个n /spl乘以/ n矩阵。这使得fpga成为信号处理应用中矩阵乘法的理想选择。
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Energy efficiency of FPGAs and programmable processors for matrix multiplication
Advances in their technologies have positioned FPGAs and embedded processors to compete with digital signal processors (DSPs). In this paper, we evaluate the performance in terms of both latency and energy-efficiency of FPGAs, embedded processors, and DSPs in multiplying two n /spl times/ n matrices. As specific examples, we have chosen a representative of each type of device. Our results show that the FPGAs can multiply two n /spl times/ n matrices with both lower latency and lower energy consumption than the other two types of devices. This makes FPGAs the ideal choice for matrix multiplication in signal processing applications.
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