HLS-Compatible, Embedded-Processor Stream Links

Eric Micallef, Yuanlong Xiao, A. DeHon
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引用次数: 0

Abstract

Fine-grained dataflow streaming between parallel compute operators provides both a simple form of concurrency and high performance operation. These streams are regularly used to support concurrency within HLS computations on the FPGA. We provide a compatible stream API and implementation that allows FPGA operators to interoperate with operators implemented on the embedded, hardcore processors on SoC FPGAs. With our stream interface, individual operators can be written in C and compiled to either the embedded core or the FPGA from a single source file, and neither FPGA-mapped nor processor-mapped operators need to know whether the other side of the stream is implemented on an embedded core or on the FPGA. This capability also eases processor integration for debugging and development. Our streams support over 100MB/s per core between the ARM A53 cores on the Zynq UltraScale+ and the FPGA fabric even when all four A53 cores concurrently share a single AXI channel.
hls兼容,嵌入式处理器流链接
并行计算操作符之间的细粒度数据流提供了一种简单的并发形式和高性能操作。这些流通常用于支持FPGA上HLS计算中的并发性。我们提供兼容的流API和实现,允许FPGA操作符与SoC FPGA上嵌入式硬核处理器上实现的操作符进行互操作。使用我们的流接口,单个运算符可以用C编写,并从单个源文件编译到嵌入式内核或FPGA,并且FPGA映射和处理器映射的运算符都不需要知道流的另一端是在嵌入式内核上还是在FPGA上实现的。此功能还简化了调试和开发的处理器集成。我们的流支持在Zynq UltraScale+上的ARM A53内核和FPGA结构之间的每核超过100MB/s,即使所有四个A53内核并发地共享单个AXI通道。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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