s9751 · • new with 10.1 - docker support eclipse ide for cuda . 9 nsight eclipse edition • use...

Aurelien Chartier & Steve Ulrich, March 19th, 2019

S9751:ACCELERATE YOUR CUDA DEVELOPMENT WITH LATEST DEBUGGING AND CODE ANALYSIS DEVELOPER TOOLS

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AGENDA

Debugging Tools

Nsight Eclipse Edition

CUDA GDB

Nsight Visual Studio

CUDA Memcheck

Debug API

Steve Ulrich

Sanitizer API Aurelien Chartier

Steve Ulrich, March 19th, 2019

DEBUGGING TOOLS

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WHO ARE YOU?

Have you …

• Ever written a CUDA application?

• Developed in CUDA for…

• … over a year?

• … over five years?

• Windows or Linux?

• Desktop or Embedded?

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WHAT ARE YOUR PREFERENCES?CLI vs. IDE?

How many spaces in a tab?

Big Endian vs. Little Endian?

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DEBUGGING STYLES

Before using a debugger:

Reboot (“you may have a future in tech support ☺”)

Google the error message

Ask for help

printf()

assert()

And eventually…

Break out the debugger

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NVIDIA DEBUGGER PORTFOLIO

IDE Tools

Nsight Eclipse Edition

Nsight Visual Studio

CLI Tools

CUDA GDB

CUDA MEMCHECK

Development

Libraries

CUDA Debug API

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NSIGHT ECLIPSE

• Install Nsight Eclipse plugins in your own Eclipse environment

• Supported in Eclipse version 4.7/4.8/4.9 for CUDA 10.1 (4.10 is in validation)

• Full featured IDE to edit, build and debug CUDA applications

• NVCC build integration to cross compile for various target platforms(x86/L4T/Drive Linux/Drive QNX).

• Debugger - Seamless and simultaneous debugging of both CPU and GPU code using CUDA GDB

• New with 10.1 - Docker Support

Eclipse IDE for CUDA

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NSIGHT ECLIPSE EDITION

• Use the Drive OS Docker images from NVIDIA GPU Cloud to build the CUDA projects using Nsight EE.

• Nsight EE plugins supports mounting the project source files from the host to docker container and build the projects using CUDA toolkit/toolchains available inside docker container. No CUDA toolkit installation is required on the host.

• You can choose the docker image to use when creating the project or in preference page.

• Remote debug applications from Nsight EE using cuda-gdb inside docker container..

Docker Support

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CUDA-GDB

Command line source and assembly (SASS) level debugger

Simultaneous CPU and GPU debugging

Inspect and modify memory, register, variable state

Control program execution

Support for multiple GPUs, multiple contexts, multiple kernels

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CUDA-GDB

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EVER HAD A CRASH AND WISHED YOU’D BEEN DEBUGGING?$ CUDA_DEVICE_WAITS_ON_EXCEPTION=1

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EVER HAD A CRASH AND WISHED YOU’D BEEN DEBUGGING?$ CUDA_DEVICE_WAITS_ON_EXCEPTION=1

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WHAT ABOUT CORE DUMPS?$ CUDA_ENABLE_COREDUMP_ON_EXCEPTION=1

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WHAT ABOUT CORE DUMPS?$ CUDA_ENABLE_COREDUMP_ON_EXCEPTION=1

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NSIGHT VISUAL STUDIO

Native CUDA C/C++ GPU Debugging

Source-correlated assembly debugging (SASS / PTX / SASS+PTX)

Data breakpoints for CUDA C/C++ code

Expressions in Locals, Watch and Conditionals

Visual Studio IDE for CUDA

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NSIGHT VISUAL STUDIO

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CUDA-MEMCHECK

Four tools in One:

Memory Checker

Race Condition Checker

Initialization Checker

Synchronization Checker

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CUDA DEBUG API

ABI Support

Exception Reporting

Attach and Detach

Runtime control

State Inspection

Enable 3rd-party Debuggers

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WHERE TO GET THE TOOLS?https://developer.nvidia.com/tools-overview

Aurelien Chartier, March 19th, 2019

CODE ANALYSIS – SANITIZER API

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EVER…

• Used cuda-memcheck but needed more control?

• Needed a tool that let you analyze memory access patterns in your code?

• Wished for a PIN-like binary instrumentation tool for CUDA?

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INTRODUCING THE SANITIZER APIReleased in CUDA 10.1

Host

Target

Memory

allocationsKernel launch

Device code

Stream sync

Callback host function

Callback device

function

Sanitizer callback API

Sanitizer patching API

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SANITIZER API USAGE

static void ApiTrackerCallback(void* userdata,Sanitizer_CallbackDomain domain,Sanitizer_CallbackId cbid,const void* cbdata)

{auto* pCallbackData = (Sanitizer_CallbackData*)cbdata;auto returnValue = *(cudaError_t*)pCallbackData->functionReturnValue;

std::cout << "API call to " << pCallbackData->functionName <<" (return code "<< returnValue << ")" << std::endl;

}

Callback API

1. Write a callback function using Sanitizer_CallbackFunc function signature

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SANITIZER API USAGE

2. Use sanitizerSubscribe to create a sanitizer subscriber

3. Use one of the sanitizerEnableCallback functions to enable/disable callbacks

As in the CUPTI API, only one subscriber can be active at any point.

Callback API

sanitizerSubscribe(&handle, ApiTrackerCallback, userdata);

sanitizerEnableDomain(1, handle, SANITIZER_CB_DOMAIN_RUNTIME_API);

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API TRACKER

Memory

allocationsKernel launch

Device code

Stream sync

ApiTrackerCallback

Target

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API TRACKER

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SANITIZER API USAGE

1. Write patches as __device__ functions using the SanitizerCallback function signature

Patching API: device side

extern "C" __device__ __noinline__SanitizerPatchResult MemoryAccessCallback(

void* userdata, uint64_t pc, void* ptr,uint32_t accessSize, uint32_t flags)

{auto* pTracker = (MemoryAccessTracker*)userdata;uint32_t old = atomicAdd(&(pTracker->currentEntry), 1);

MemoryAccess& access = pTracker->accesses[old];access.address = (uint64_t)(uintptr_t)ptr;access.accessSize = accessSize;access.flags = flags;

return SANITIZER_PATCH_SUCCESS;}

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SANITIZER API USAGE

2. Compile patches in a cubin or fatbin using new PTXAS option –-compile-as-tools-patch

Patching API: device side

$ nvcc --cubin --keep-device-functions –Xptxas –-compile-as-tools-patch MemoryTrackerPatches.cu –o MemoryTrackerPatches.cubin

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SANITIZER API USAGE

1. Load patches in a CUDA context using sanitizerAddPatches

2. Mark which instructions should be patched using sanitizerPatchInstructions

3. Once all instructions have been marked, use sanitizerPatchModule to patch a given module

4. Use sanitizerSetCallbackData to specify user data passed to callbacks

Patching API: host side

sanitizerAddPatchesFromFile("MemoryTrackerPatches.cubin", ctx);

sanitizerPatchInstructions(SANITIZER_INSTRUCTION_MEMORY_ACCESS, module, "MemoryAccessCallback");

sanitizerPatchModule(pModuleData->module);

sanitizerSetCallbackData(stream, userdata);

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MEMORY TRACKER

Module load Kernel launch

Device code

Stream sync

1. Load patches

2. Mark memory accesses to

be patched

3. Patch module

MemoryAccessCallback

Target

Host

4. Set userdata Retrieve userdata

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MEMORY TRACKER

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WHERE TO GET THE TOOL• Released in CUDA 10.1 under extras/Sanitizer folder

• Support for Windows, Linux (x64 only), OSX

• Support for Maxwell and newer GPUs

• Missing features:

• CDP (partial support)

• CUDA graphs

• Atomics on short types

• Get help with either:

• devtools-support@nvidia.com

• https://devtalk.nvidia.com/default/board/373/compute-sanitizer-api/

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SANITIZER SAMPLES

Find the full samples code for the ApiTracker and MemoryTracker at:

https://github.com/NVIDIA/compute-sanitizer-samples

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DEVELOPER TOOLS AT GTC19

Talks:S9751: Accelerate Your CUDA Development with Latest Debugging and Code Analysis Developer Tools, Tue @9amS9866 - Optimizing Facebook AI Workloads for NVIDIA GPUs, Tue @9amS9345: CUDA Kernel Profiling using NVIDIA Nsight Compute, Tue @1pmS9661: Nsight Graphics - DXR/Vulkan Profiling/Vulkan Raytracing, Wed @10amS9503: Using Nsight Tools to Optimize the NAMD Molecular Dynamics Simulation Program, Wed @1pm

Hands-on labs:L9102: Jetson Developer Tools Training Lab, Mon @9am, 11:30amL9124: Debugging and optimizing CUDA applications with Nsight products on Linux training lab, Tue @8am, 10am

Connect with the Experts (where DevTools will be available):CE9123: CUDA & Graphics Developer Tools, Tue @2pm, Wed @3pmCE9137: Jetson Embedded Platform, Tue @12pm, 5pm, Wed @1pm, 4pm, Thu @12pm

Podium: Demos of DevTools products on Linux, DRIVE AGX & Jetson AGX at the showfloorTue @12pm – 7pmWed @12pm – 7pmThu @11am – 2pm