GPU debugging

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16: Debugging GPU Metal Functions

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00:23:18
19.11.2018

In this episode I will show you how to navigate Apples Metal Shading Language Debugger. Swift Game Engine Tutorial Playlist 🤍 Full Engine Code: 🤍 Episode Source Code: 🤍 Become A Patron: 🤍 I really do appreciate everyone in this community! Thank you all! Apple Deferred Lighting Code: 🤍 Discord: Join me on Discord for discussions about Metal. I am always open to talk code :) 🤍 Affiliate Links: Sweet Standing Desks: 🤍

Profiling/debugging for GPUs

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00:18:38
05.08.2020

Jonathan Madsen of LBNL presents a talk on Profiling/debugging for GPUs. Recorded live via Zoom at GPUs for Science 2020. 🤍 Session Chair: Yan Zhang.

Introduction to at-scale GPU debugging with Allinea DDT: Examples (1/2), Patrick Wohlschlegel

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1
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01:08:39
03.07.2014

Introduction to at-scale GPU debugging with Allinea DDT: Examples (1/2), Patrick Wohlschlegel (Allinea) Introduction course to CSCS hybrid Cray XC30, Piz Daint 24-27 March 2014 CSCS - Swiss National Supercomputing Centre, Lugano, Switzerland

Introduction to at-scale GPU debugging with Allinea DDT, Patrick Wohlschlegel (Allinea)

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2
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00:12:13
03.07.2014

Introduction course to CSCS hybrid Cray XC30, Piz Daint 24-27 March 2014 CSCS - Swiss National Supercomputing Centre, Lugano, Switzerland

CUDACast #4 - CUDA 5.5 Linux Single-GPU Debugging

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00:02:11
26.07.2013

To learn more, visit the blog post at 🤍 Linux Single-GPU Debugging is a BETA feature in Nsight Eclipse Edition and CUDA-GDB in the CUDA 5.5 release. This allows a CUDA application to be debugged on the same GPU that is rendering the desktop GUI. In addition, multiple debugging sessions can debug CUDA applications on the same GPU. This feature is available on Linux with SM 3.5, or later, devices.

Nsight Visual Studio Code Edition

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00:04:08
12.04.2021

NVIDIA Nsight™ Visual Studio Code Edition is an application development environment for heterogeneous platforms that brings CUDA® development for GPUs into Microsoft Visual Studio Code. It enables you to build and debug GPU kernels and native CPU code as well as inspect the state of the GPU and memory. It supports both local and remote targets. This video gives a brief overview and demo of the new features including syntax highlighting, kernel breakpoint support, kernel execution control, and GPU and kernel state inspection. For more information on availability check the product website: 🤍 and to learn more about all of our developer tools see 🤍

Directive Based GPU Programming: OpenACC and OpenMP: Profiling and debugging

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00:48:04
12.06.2017

The Swiss National Supercomputing Centre (CSCS) is delighted to announce its upcoming workshop "Directive based GPU programming: OpenACC and OpenMP" to be held from Monday, May 29 to Wednesday, May 31, 2017 at CSCS in Lugano, Switzerland. The three-day course is intended to offer an introduction to the two most promising directive based programming models for GPU accelerated architectures, OpenACC and OpenMP, with lectures and practicals. Participants are responsible for bringing a laptop with a terminal (installed by default on Apple and Linux laptops). It is preferable to have X windows installed, but not necessary. CSCS provides access to Piz Daint with full programming environment and GPUs, so they do not need to install any specific software.

Aftermath: Advances in GPU Crash Debugging

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00:23:32
08.06.2018

GDC 2018 presentation on Aftermath

GPU Series: IDEs, Debugging, and Optimization Tools for GPU Computing

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01:02:52
11.07.2022

The eighth in a series of tutorials for the NCAR and university research communities. 🤍

Debugging GPU programs with DDT (Michael Wolfe, PGI)

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00:12:56
29.09.2015

This presentation describes how to debug CUDA Fortran and OpenACC programs on GPUs using Allinea DDT NVIDIA Basic GPU Training with emphasis on Fortran and OpenACC ECMWF, Reading, UK, 16-17 September 2015

Debugging Assembly Language and GPU Kernels in Visual Studio Code - Julia Reid - CppCon 2021

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01:00:51
10.03.2022

🤍 🤍 - In this session, you’ll learn how to take advantage of VS Code’s new debugging capabilities and discover easy ways to boost your C development productivity along the way. We’ll get a simple embedded project up and running on a Raspberry Pi using the CMake Tools extension for Visual Studio Code. Then, we’ll dive deep into a debugging session, digging into both source code and assembly language. Next, we’ll debug GPU kernels in VS Code using NVIDIA’s Nsight Visual Studio Code Edition extension. You’ll walk away from this talk with the knowledge and tools to take advantage of all VS Code’s debugger has to offer, along with bonus tips about optimizing productivity in C development regardless of which editor or IDE you’re using. - Julia Reid Julia is a program manager on the Visual C team at Microsoft, focusing specifically on Visual Studio Code. Because Julia comes from a background of C development, she has a passion for enhancing and simplifying C development experiences for programmers of all levels. Within Visual Studio Code, Julia focuses specifically on the C extension. - Videos Filmed & Edited by Bash Films: 🤍 YouTube Channel Managed by Digital Medium Ltd 🤍 The CppCon YouTube Channel Is Sponsored By: SonarSource: 🤍

Introduction to at-scale GPU debugging with Allinea DDT: Examples (2/2), Patrick Wohlschlegel

207
0
0
00:22:37
03.07.2014

Introduction to at-scale GPU debugging with Allinea DDT: Examples (2/2), Patrick Wohlschlegel (Allinea) Introduction course to CSCS hybrid Cray XC30, Piz Daint 24-27 March 2014 CSCS - Swiss National Supercomputing Centre, Lugano, Switzerland

Allinea DDT at CSCS: webinar 2016 (gpu debugging/setup)

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0
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00:04:37
05.04.2016

Recording of CSCS Webinar: Deep-Dive GPU Debugging with Allinea DDT.

Allinea DDT at CSCS: webinar 2016 (gpu debugging/intro)

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0
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00:08:51
05.04.2016

Recording of CSCS Webinar: Deep-Dive GPU Debugging with Allinea DDT.

Allinea DDT at CSCS: webinar 2016 (gpu debugging/conclusion)

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00:03:18
05.04.2016

Recording of CSCS Webinar: Deep-Dive GPU Debugging with Allinea DDT.

DWARF extensions for optimized SIMT/SIMD (GPU) debugging - Mr Tony Tye/Zoran Zaric

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00:27:03
13.11.2021

DWARF extensions for optimized SIMT/SIMD (GPU) debugging - Mr Tony Tye/Zoran Zaric

Android Debugging - GPU profiling

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00:02:39
21.05.2014

How to use the GPU profiler to see your apps framerate and see where you app is lagging.

Browsing android with a bunch of GPU debugging options on

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00:01:55
20.05.2018

I would also use the one that flashes the screen every time there is screen movement but when i tried it the video recording just showed the color purple for the most part.

Vulkan from ZERO to HERO: 3.2 Debugging GPU With RenderDOC

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00:15:03
13.07.2021

Related Article: 🤍 Hello These videos are about Vulkan API programming from Zero to Hero. Vulkan aims to be the next generation 3D API and comes with CPU overhead reduction, faster performance, less latency and gives developers much more control over the hardware, compares to traditional GPU APIs. It allows multiple GPUs to be instructed by software like a single GPU and most importantly it has cross-platform capabilities. In this video course, you will learn how to create instances in Vulkan and choose the appropriate operation for each device. Then, you will dive into more complex topics such as command buffers, resources, memory management, pipelines, GLSL shaders, render passes and etc. You will also learn how to add advanced rendering technique on a 3D scene. By the end of the course, you will be familiar with the latest advanced graphic techniques and you will be able to implement it with the Vulkan API, which can be used on a wide range of platforms and games. Who are the TARGET AUDIENCE? This video course is ideal for developers who want to take advantage of the new Vulkan API in the process of building applications with the next generation of computer graphics. Some basic familiarity with C/C languages, graphics programming, DirectX and OpenGL would be useful to follow the examples. Who am I? My name is Pooya Eimandar , leader of PlayPod, CEO at BaziPardaz, founder of 🤍 and author at PackT . Here are my social accounts, and you could check out my latest articles and videos here. Twitter : 🤍 LinkedIn: 🤍 Course Road Map: SECTION ONE - HELLO THERE In this Section you will learn all about getting started with GPU programming via Vulkan. SECTION TWO - DRAWING FIRST TRIANGLE In this Section you will draw your first simple triangle on screen. This part will teach you how to create and initialize the necessary Vulkan objects in order to present image buffers on screen. SECTION THREE - DEBUGGING GPU Need to know what’s really going on in your GPU(s)? Well, this part will teach you how to use Vulkan validation layers alongside third part debugging tools like RenderDoc to debug your GPU, shaders, pipeline stages and pixels. SECTION FOUR - DIVE INTO 3D WORLD Now it’s time to dive into the fun part! In this section, first you will learn how to import a complex 3D scene via standard 3D format to your application. I used 3D Studio Max for exporting 3D scene to my desired 3D format, but obviously you can use any other 3D tools for this part. At the end of this section you will learn how to use instanced rendering to show more models in your scene with minimal draw calls. SECTION FIVE - IMPROVING PERFORMANCE WITH ADVANCED RENDERING TECHNIQUES This is the most advanced part of this course. In which you will learn how to enable tessellation or compute stages for your pipeline to improve rendering performance. Tessellation stages are used to change the level of details dynamically; compute shader stage will help you to compute part of rendering faster. And finally at the end of this part, you will learn how to achieve the best performance of your CPU for faster multi-threaded rendering. SECTION SIX - ADDING POST PROCESSING TECHNIQUES Every 3D scene which is rendered using rasterization, needs post processing techniques just to looks fancier. In the final part of this course, you will learn some tips on post processing techniques such as bloom and blur. if you find these video courses useful, please support my open source projects via my Patreon page. (🤍 or PayPal (🤍 Thank you Hossein Goli for editing this video and finally special thanks go to my wonderful wife, thank you Ray for everything you’ve done. Best Pooya

Allinea DDT at CSCS: webinar 2016 (gpu debugging/live demo)

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00:11:44
05.04.2016

Recording of CSCS Webinar: Deep-Dive GPU Debugging with Allinea DDT.

Allinea DDT at CSCS: webinar 2016 (gpu debugging/OpenACC)

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00:06:02
06.04.2016

Recording of CSCS Webinar: Deep-Dive GPU Debugging with Allinea DDT.

Tracing and debugging heterogeneous CPU GPU systems, Arnaud Fiorini

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00:26:32
02.10.2019

Arnaud Fiorini (Polytechnique Montreal) Tracing Summit 2019 August 20th, 2019 San Diego, USA 🤍

NVIDIA Parallel Nsight: Visual Studio-based GPU Computing and Graphics Development

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00:01:53
31.08.2009

Unleash your productivity with Parallel Nsight (aka "Nexus"), NVIDIA's new development environment for GPU Computing and graphics applications that use CUDA C, OpenCL, DirectCompute, Direct3D, or OpenGL. Parallel Nsight introduces native GPU debugging and platform-wide performance analysis tools for both computing and graphics developers, fully integrated into Visual Studio 2008. Use the powerful Nsight Debugger set breakpoints and step through your CUDA C kernels or HLSL shader source code. Easily catch hard-to-find bugs using the Nexus memory inspection tools and set data breakpoints on your running application. Visualize your application's workloads and performance characteristics across the CPU, GPU, and operating system, and then dig deeper using the Parallel Nsight profilers. Parallel Nsight also includes state of the art graphics debugging features and convenient API state inspection.

Allinea DDT at CSCS: webinar 2017 (gpu debugging/live demo)

14
0
0
00:13:49
24.12.2017

Recording of CSCS Webinar: Deep-Dive GPU Debugging with Allinea DDT. Recording of CSCS Webinar: Deep-Dive GPU Debugging with Allinea DDT. Recording of CSCS Webinar: Deep-Dive GPU Debugging with Allinea DDT. Recording of CSCS Webinar: Deep-Dive GPU Debugging with Allinea DDT.

Debugging OpenGL 4.2 - NVIDIA Nsight Visual Studio Edition 3.2

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00:59:28
25.09.2013

Dan Price presents debugging OpenGL 4.2 with NVIDIA Nsight Visual Studio Edition 3.2. High level overview of graphics debugging on Nsight using IslandsGL technology demo using Nsight VSE Frame Debugger and Shader Debugger features. Optimize code by porting CPU based implementation to GPU and debug results.

Debugging Graphics using NVIDIA Parallel Nsight and Visual Studio 2008

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00:02:26
16.02.2010

Parallel Nsight is NVIDIA's new Visual Studio integrated development environment for GPU Computing and graphics applications that use CUDA C, OpenCL, DirectCompute, Direct3D, or OpenGL. This video shows how to use Parallel Nsight's powerful graphics debugging features, including a state of the art frame debugger, a frame profiler with per-draw call bottleneck identification, hardware HLSL shader debugging integrated using the familiar Visual Studio interface, and pixel history. Learn more, and sign up for the beta at 🤍nvidia.com/nsight.

Metal 2 Optimization and Debugging

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00:33:08
27.10.2017

Developing Metal 2-based apps is even easier with the redesigned tools for debugging and profiling in Xcode. Dive into the enhanced Metal Frame Debugger and explore techniques for fine-tuning graphics and compute workloads. Learn about accessing detailed GPU performance counters, and check out new support in Metal System Trace for optimizing VR apps. WWDC 2017 - Session 607 - iOS, macOS, tvOS file: 🤍

Debugging HLSL & GLSL shaders in VS Code

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00:04:04
20.05.2021

🤍 Blog post: 🤍 Source code: 🤍 Extension: 🤍 🤍 You can now use SHADERed with any text editor/IDE which supports Debug Adapter Protocol (DAP). In this video I am showing you how to prototype and debug HLSL and GLSL shaders (vertex, pixel, geometry and compute shaders) in Visual Studio Code. SHADERed is a cross-platform & open-source shader editor.

Debugging CUDA C using NVIDIA Parallel Nsight and Visual Studio 2008

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00:01:44
15.12.2009

Parallel Nsight is NVIDIA's new Visual Studio integrated development environment for GPU Computing and graphics applications that use CUDA C, OpenCL, DirectCompute, Direct3D, or OpenGL. This video shows how you can debug thousands of threads running CUDA C code directly on your GPU hardware, all using the familiar interface of Visual Studio 2008. Learn more, and sign up for the beta at 🤍nvidia.com/nsight.

Unreal Engine 5 Apofsera Space: Debugging of Character Movements on Gravity Stations

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00:01:18
14.12.2021

Apofsera Space Project dev logs, work in progress first testing and debugging of character movements while attached to platforms #ue #ue5 #unreal #unrealengine #gamedev #dev #development GPU: NVIDIA GeForce RTX 2070 SUPER. CPU: Intel (R) Core (TM) i9-10900KF CPU 🤍 3.70 GHz Memory: 32 GB RAM (31.92 GB RAM available) Current Resolution: 1920 x 1080 🤍 60Hz

Handmade Hero Day 408 - Finishing Debugging Volume Textures

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02:24:54
04.11.2017

Day 408 of coding on Handmade Hero. See 🤍 for details.

Directive Based GPU Programming: OpenACC and OpenMP: Profiling and debugging

11
0
0
00:54:19
24.12.2017

The Swiss National Supercomputing Centre (CSCS) is delighted to announce its upcoming workshop Directive based GPU programming: OpenACC and OpenMP to be held from Monday, May 29 to Wednesday,. To learn more, visit the blog post at In this CUDACasts video, well see how to take an existing application, and using a few OpenACC directives, accelerate the computation. First of a series of presentations is a OpenACC training course. Learn more about this course at

DirectX 11 Debugging With Parallel Nsight 2.1

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00:27:29
12.03.2012

Many engine and game developers are now adding DirectX 11 to their titles and realize that the complexity and programmability has greatly increased since the DirectX 9 days. To ease the pain associated with this effort, Parallel Nsight harnesses advanced software and hardware features to assist with debugging all aspects of the DirectX 11 pipeline, ranging from pipeline setup to shader authoring. Russ will be showing how the latest graphics debugging features of Parallel Nsight can be used for the development of advanced DirectX 11 rendering effects.

Debugging CUDA programs

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00:47:48
15.11.2016

Please be aware that this webinar was developed for our legacy systems. As a consequence, some parts of the webinar or its entirety may not be applicable to the national systems (Graham, Cedar, Beluga etc.). This webinar will cover basics of debugging of CUDA (GP-GPU) programs using tools readily available in SHARCNET. Most of the time will be spent in a live demo, dealing with typical bugs encountered in CUDA programs. Some prior knowledge of CUDA and C/C programming languages is desirable. ­_ This webinar was presented by Sergey Mshchenko (SHARCNET) on November 9th, 2016 as a part of a series of regular biweekly webinars ran by SHARCNET. The webinars cover different high performance computing (HPC) topics, are approximately 45 minutes in length, and are delivered by experts in the relevant fields. Further details can be found on this web page: 🤍 SHARCNET is a consortium of 18 Canadian academic institutions who share a network of high performance computers (🤍). SHARCNET is a part of Compute Ontario (🤍 and Compute Canada (🤍).

Debugging the Training Pipeline (PyTorch)

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00:04:16
15.11.2021

Getting an error when you call trainer.train()? In this video we'll teach you how to debug the whole training pipeline, and hopefully make this error go away. This video is part of the Hugging Face course: 🤍 Open in colab to run the code samples: 🤍 TensorFlow version: 🤍 You will need a Hugging Face account to manage a be able to push to the Model Hub. Join now: 🤍 Related videos: - The Trainer API: 🤍 - What to do when you get an error? 🤍 - Using a debugger in a notebook: 🤍 - Using a debugger in a terminal: 🤍 Don't have a Hugging Face account? Join now: 🤍 Have a question? Checkout the forums: 🤍 Subscribe to our newsletter: 🤍

Debugging offloaded kernels on AMD GPUs - Andrew Stubbs

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00:42:29
13.11.2021

Debugging offloaded kernels on AMD GPUs - Andrew Stubbs

Metal 2 Optimization and Debugging

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00:33:08
09.02.2018

Developing Metal 2-based apps is even easier with the redesigned tools for debugging and profiling in Xcode. Dive into the enhanced Metal Frame Debugger and explore techniques for fine-tuning graphics and compute workloads. Learn about accessing detailed GPU performance counters, and check out new support in Metal System Trace for optimizing VR apps. WWDC 2017 - Session 607 - iOS, macOS, tvOS file: 🤍

CUDA Tutorial: Debugging and Performance Tools

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00:43:40
26.02.2013

Peter Messmer (NVIDIA) Introduction to OpenACC and CUDA Programming on the Cray XK7 Platform, 18-19 February 2013 - Course organized by Swiss National Supercomputing Centre CSCS, Lugano, Switzerland.

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