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引用次数: 4
摘要
本文讨论了一种新的推测性执行单纯形操作的Nelder-Mead变体的性能评估。这个新的变体被实现为x86并行和顺序CPU版本,以及手写和自动C-to-RTL FPGA设计。由于每个版本的执行流程都是相同的,因此也访问了软件和硬件同步的效率。这些版本的性能试验使用(i)上一代FPGA和上一代多核cpu芯片来运行软件版本和(ii)相对简单的目标函数。结果表明,手写硬件设计的性能与顺序软件版本的算法相当,即使在低得多的时钟频率下运行(平均1.9Mhz vs 3.4GHz)。他们还建议,用于控制推测执行的同步方法在由软件管理时过于昂贵,但如果由硬件管理则很有效。
SW and HW speculative Nelder-Mead execution for high performance unconstrained optimization
This paper addresses the performance assessment of a new Nelder-Mead variant, that speculatively executes the simplex operations. This new variant was implemented as x86 parallel and sequential CPU versions as well as in handwritten and automatic C-to-RTL FPGA designs. As the execution flow is the same on every version, the efficiency of the synchronization by software and hardware is also accessed. Performance trials of these versions where performed using (i) a last-generation FPGA and a last generation multi-core CPU-chip to run the software versions and (ii) relatively simple objective functions in ℝ2. Results show that performance of the handwritten hardware design is relatively equivalent to the sequential software version of the algorithm, even running at a much lower clock frequency (average of 1.9Mhz vs 3.4GHz). They also suggest that the synchronization methods employed to control the speculative execution are too expensive when managed by software, but efficient if managed by hardware.