Computer Science > Distributed, Parallel, and Cluster Computing
[Submitted on 5 Sep 2020 (v1), last revised 4 Oct 2020 (this version, v4)]
Title:Hierarchical Roofline Analysis: How to Collect Data using Performance Tools on Intel CPUs and NVIDIA GPUs
View PDFAbstract:This paper surveys a range of methods to collect necessary performance data on Intel CPUs and NVIDIA GPUs for hierarchical Roofline analysis. As of mid-2020, two vendor performance tools, Intel Advisor and NVIDIA Nsight Compute, have integrated Roofline analysis into their supported feature set. This paper fills the gap for when these tools are not available, or when users would like a more customized workflow for certain analysis. Specifically, we will discuss how to use Intel Advisor, RRZE LIKWID, Intel SDE and Intel Amplifier on Intel architectures, and nvprof, Nsight Compute metrics, and Nsight Compute section files on NVIDIA architectures. These tools will be used to collect information for as many memory/cache levels in the memory hierarchy as possible in order to provide insights into application's data reuse and cache locality characteristics.
Submission history
From: Charlene Yang [view email][v1] Sat, 5 Sep 2020 03:14:42 UTC (758 KB)
[v2] Mon, 14 Sep 2020 05:27:51 UTC (758 KB)
[v3] Tue, 22 Sep 2020 20:23:56 UTC (758 KB)
[v4] Sun, 4 Oct 2020 17:04:40 UTC (758 KB)
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