Accelerating HPC Applications with NVIDIA Nsight Compute Roofline Analysisdeveloper.nvidia.com/blog/accelerating-hpc-applications-with-nsight-compute-roofline-analysis/ 编写高性能软件并非易事。当你拥有能够编译和运行的代码后,新的挑战在于理解它在现有硬件上的性能表现。不同的平台,无论是 CPU、GPU 还是...
使用NVIDIA Nsight Compute Roofline 分析加速 HPC 应用程序 原文: Accelerating HPC Applications with NVIDIA Nsight Compute Roofline Analysis编写高性能软件并非易事。当你拥有能够编译和运行的代码后,新的挑战在于理解它在现有硬件上的性能表现… hugul...发表于分析师的性... 趣解GPU运行所需软硬件环境 Clare...
Roofline Analysis New in 2020.1: Rooflines provide a visual representation memory and compute capacities of your system. Analysis pinpoints your achieved arithmetic intensity and FLOP performance with respect to these limitations. This visualization guides the direction and value of optimization efforts ...
Roofline Analysis Rooflines provide a visual representation memory and compute capacities of your system.Analysis pinpoints your achieved arithmetic intensity and FLOP performance with respect to these limitations. This visualization guides the direction and value of optimization efforts...
Introducing hierarchical roofline analysis 到目前为止,文章展示了传统的Roofline模型,它只为GPU DRAM内存使用一个内存Roofline。然而,内存子系统比这更复杂,可以扩展Roofline模型来合并GPU的L1和L2缓存。这种分层Roofline模型在前面链接的论文中有详细描述。目前,Nsight Compute不支持分层Roofline模型,但它提供了一个可...
Using roofline analysis step-by-step GitLab存储库中使用了一些优化技术。为了演示NsightCompute中的所有功能(包括新添加的Roofline分析)如何相互补充以进行全面的性能分析,只讨论其中的两个步骤,步骤1和步骤3。 Baseline 在最初的串行CPU实现中,核心工作负载在三层嵌套的Fortran循环中表示: ...
1.1.17. Updates in 2021.2.9 NVIDIA Nsight Compute Clarify when not all metrics for the roofline chart could be collected on the current chip.1.1.18. Older VersionsUpdates in 2022.3 General Added support for the CUDA toolkit 11.8. Added support for the Ada GPU architecture. ...
NVIDIA Nsight Compute ‣ Remote source resolution can now use the IP address, in addition to the hostname, to find the necessary SSH target. NVIDIA Nsight Compute CLI ‣ Added support for the existing command line options for kernel filtering while importing data from an existing report file...
NVIDIA Nsight Compute 使用部分指令集(短指令集)来决定,在非常高的级别上,要收指令集的指标数量。每个集都包含一个或多个部分,每个部分指定多个逻辑关联的指标。例如,一个部分可能仅包含高级 SM 和内存利用率指标,而另一个部分可以 包括与内存单元或硬件调度程序关联的衡量指标。
full ComputeWorkloadAnalysis, InstructionStats, LaunchStats, MemoryWorkloadAnaly no 162 sis, MemoryWorkloadAnalysis_Chart, MemoryWorkloadAnalysis_Tables, Occupancy , SchedulerStats, SourceCounters, SpeedOfLight, SpeedOfLight_RooflineChart, WarpStateStats ...