Deep Learning Profiler is a tool for profiling deep learning models to help data scientists understand and improve performance of their models visually via the DLProf Viewer or by analyzing text reports.
In this paper, our goal is to shed more light on the variety of tools for profiling and monitoring deep learning training tasks on server-grade NVIDIA GPUs. In ad-dition to surveying the main characteristics of the tools, we analyze the functional limitations and overheads of each tool by using a both light and heavy training scenario.
A GPU-accelerated data augmentation and image loading library for optimizing data pipelines of deep learning frameworks. Highly dependent on application use cases 7
DLProf User Guide - NVIDIA Docs - NVIDIA Documentation Hub
Deep Learning Profiler is a tool for profiling deep learning models to help data scientists understand and improve performance of their models visually via the DLProf Viewer or by analyzing text reports.
• Profiler: It is a tool to analyze and measure the perfor-mance of the program, and usage of resources like time and memory. • Memory Allocation: The process of allocating computer memory to execute programs and processes. • Pytorch: It is a deep learning framework developed by Meta which helps us to build neural network pipelines.
Princeton University
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DeepContext: A Context-aware, Cross-platform, and Cross-framework Tool ...
2024年11月5日 · This paper introduces DeepContext, a novel profiler that links program contexts across high-level Python code, deep learning frameworks, underlying libraries written in C/C++, as well as device code executed on GPUs.
Image source: Yeung, Gingfung, et al. "Towards GPU utilization prediction for cloud deep learning." 12th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud 20). 2020. Given a GPU kernel, how do you optimize its implementation? Given a PyTorch script, how do you pinpoint its performance bottlenecks?
Deep Learning Profiler Release Notes RN-09462-005_v21.12 | 3 Chapter 2. Deep Learning Profiler 21.11 Release Notes Description DLProf Release for 21.11, available in the NVIDIA TensorFlow 1.x, TensorFlow 2.x, and
GitHub - Deeplite/deeplite-profiler: A collection of metrics to profile …
deeplite-profiler helps to easily and effectively measure the different performance metrics of a deep learning model. In addition to the existing metrics in the deeplite-profiler, users could seamlessly contribute any custom metric to measure using the profiler.
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