“gld / st_throughput”之间有什么区别？和“dram_read / write_throughput”指标？ [英] What's the difference between "gld/st_throughput" and "dram_read/write_throughput" metrics?

问题描述

在CUDA可视化分析器版本5中，我知道gld / st_requested_throughput是应用程序请求的内存吞吐量。但是，当我尝试找到硬件的实际吞吐量时，我感到困惑，因为有两对似乎合格的度量，他们是gld / st_throughput和dram_read / write_throughput。哪对实际上是硬件吞吐量？

In the CUDA visual profiler, version 5, I know that the "gld/st_requested_throughput" are the requested memory throughput of application. However, when I try to find the actual throughput of hardware, I am confused because there are two pairs of metrics which seem to be qualified, and they are "gld/st_throughput" and "dram_read/write_throughput". Which pair is actually the hardware throughput? And what does the other serve as?

推荐答案

gld / st_throughput 由L1和L2高速缓存服务的事务。而 dram_read / write_throughput 是L2和设备内存之间的吞吐量。因此，每个全局内存访问计数 gld / st_throughput ，但只有请求丢失L1和L2缓存计数 dram_read / write_throughput 。

gld/st_throughput includes transactions served by the L1 and L2 caches. While dram_read/write_throughput is the throughput between L2 and device memory. So, each global memory access counts towards gld/st_throughput but only requests that missed both the L1 and L2 caches count towards dram_read/write_throughput.

我没有找到任何地方的计数器的好概述。希望NVIDIA提供...

I haven't found a good overview of the counters anywhere. Wish NVIDIA would provide that...

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