Hierarchical Roofline Performance Analysis for Deep Learning Applications

1 code implementation • 11 Sep 2020 • Charlene Yang, Yunsong Wang, Steven Farrell, Thorsten Kurth, Samuel Williams

This paper presents a practical methodology for collecting performance data necessary to conduct hierarchical Roofline analysis on NVIDIA GPUs.

Image Segmentation Semantic Segmentation

Time-Based Roofline for Deep Learning Performance Analysis

no code implementations • 9 Sep 2020 • Yunsong Wang, Charlene Yang, Steven Farrell, Yan Zhang, Thorsten Kurth, Samuel Williams

Deep learning applications are usually very compute-intensive and require a long run time for training and inference.

Hierarchical Roofline Analysis: How to Collect Data using Performance Tools on Intel CPUs and NVIDIA GPUs

2 code implementations • 5 Sep 2020 • Charlene Yang

As of mid-2020, two vendor performance tools, Intel Advisor and NVIDIA Nsight Compute, have integrated Roofline analysis into their supported feature set.

Distributed, Parallel, and Cluster Computing Hardware Architecture Performance

8 Steps to 3.7 TFLOP/s on NVIDIA V100 GPU: Roofline Analysis and Other Tricks

1 code implementation • 26 Aug 2020 • Charlene Yang

Performance optimization can be a daunting task especially as the hardware architecture becomes more and more complex.

Distributed, Parallel, and Cluster Computing Hardware Architecture Performance