论文标题
高性能同时多处理，用于异质系统片
High-Performance Simultaneous Multiprocessing for Heterogeneous System-on-Chip
论文作者
论文摘要
本文介绍了一种同时异质计算的方法，名为ENEAC，其中四核臂Cortex-A53 CPU与板上的FPGA加速器同时起作用。异构调度程序在所有资源中最佳分发任务，并且所有计算单元不同步，这可以改善不规则工作负载的性能。与仅使用FPGA加速器相比，使用所有平台资源时，ENEAC可实现高达17 \％的性能提高{和14 \％\％的能量使用量减少，}当使用CPU时，使用所有平台资源}，高达89 \％的能量使用}，最多可忽略89 \％的能量使用}。该工作流将现有的商业工具和C/C ++用作加速器设计和CPU编程的单一编程语言，以提高生产力和易于验证。
This paper presents a methodology for simultaneous heterogeneous computing, named ENEAC, where a quad core ARM Cortex-A53 CPU works in tandem with a preprogrammed on-board FPGA accelerator. A heterogeneous scheduler distributes the tasks optimally among all the resources and all compute units run asynchronously, which allows for improved performance for irregular workloads. ENEAC achieves up to 17\% performance improvement \ignore{and 14\% energy usage reduction,} when using all platform resources compared to just using the FPGA accelerators and up to 865\% performance increase \ignore{and up to 89\% energy usage decrease} when using just the CPU. The workflow uses existing commercial tools and C/C++ as a single programming language for both accelerator design and CPU programming for improved productivity and ease of verification.
