可重构活动ssd自动生成加速器的效率研究

Mageda Sharafeddine, Hasanin Harkous, Salim Mansour, M. Saghir, Haitham Akkary, H. Artail, Hazem M. Hajj
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引用次数: 5

摘要

现代高级综合(HLS)工具从用高级语言(如c)指定的设计中生成寄存器转移语言(RTL)。通过提高设计抽象级别,同时仍然保证具有竞争力的性能,HLS工具可以大大减少设计工作量和时间。现代HLS工具可以支持大多数手动硬件设计优化技术,如流水线和细粒度数据通信。本文研究了Xilinx Vivado HLS工具在为map/reduce内核生成硬件加速器方面的有效性,并将其性能和逻辑资源利用率与手工编码RTL生成的加速器进行了比较。我们的实验结果表明,在大多数情况下,Vivado工具产生的加速器的性能在手工编码RTL的9%以内,并且其逻辑资源利用率显着降低。
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On the efficiency of automatically generated accelerators for reconfigurable active SSDs
Modern high level synthesis (HLS) tools generate Register Transfer Language (RTL) from designs specified in high level languages such as C. By raising the design abstraction level while still promising competitive performance, HLS tools can greatly reduce design effort and time. Contemporary HLS tools can support most manual hardware design optimization techniques such as pipelining and fine-grain data communication. In this paper we study the effectiveness of the Xilinx Vivado HLS tool in generating hardware accelerators for map/reduce kernels, and we compare their performance and logic resource utilization to accelerators generated from hand-coded RTL. Our experimental results show that for most cases, the Vivado tool produces accelerators whose performance is within 9% of handcoded RTL, and whose logic resource utilization is significantly lower.
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