NVIDIA Nsight Visual Studio Edition 4.0 A Fast-Forward of All the Greatness of the Latest Edition. Sébastien Dominé, NVIDIA
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1 NVIDIA Nsight Visual Studio Edition 4.0 A Fast-Forward of All the Greatness of the Latest Edition Sébastien Dominé, NVIDIA
2 AGENDA Introduction What s new with 4.0? Graphics Redefined DirectX 9 and 11.1 user experience OpenGL 4.3 ish Compute CUDA 6.0 Support Next way point Conclusion and Q&A
3 NVIDIA NSIGHT VISUAL STUDIO EDITION Visual Studio integrated development for GPU and CPU Build Debug Profile
4 NVIDIA NSIGHT FOR GRAPHICS DEVELOPERS for OpenGL ~4.3+, Direct3D 9/11/11.1 Frame debugger and profiler GPU Shader debugger Application and system trace
5 NVIDIA NSIGHT VISUAL STUDIO EDITION 4.0 Windows 8.1 and Visual Studio 2013 support Entirely new Direct3D 9/11/11.1 graphical interface Improved OpenGL support Support Visual Studio macros in Nsight user properties
6 NEW DIRECTX DEVELOPMENT EXPERIENCE New graphical interface Debug ASM shaders (when no HLSL) Pixel history with release shaders Advanced DirectX Compute kernel profiling All raw performance counters in exportable table view Support application launcher that spawns new processes
7 Fast frame scrubbing Current Target Preview Improved event list New DirectX Graphical Interface Debug ASM shader code
8 DIRECTX COMPUTE SUPPORT Trace concurrent kernel execution
9
10 IMPROVED OPENGL SUPPORT Edit and replace shaders on the fly GLSL Compute Frame Debugger and Profiling support Debug shader when multiple OpenGL rendering context System trace supports GLSL compute kernels activities Most of 4.3 GL Extensions (ARB_multi_draw_indirect, NV_Depth_buffer_float, KHR_Debug_object_labeling, ) Export performance data to csv/excel processing
11 DEMO FOR OGL HERE Toggle between original and edited versions Edit shader and recompile live
12 CUDA 6.0 SUPPORT Maxwell architecture support Visual Studio 2013 with compiler VS2012/10/08 tool chain Unified Virtual Memory support Debugging Trace New descriptive error codes for types of kernel launch failure
13 CUDA MEMORY TRANSFERS 3 ways to copy data Host <-> Device CUDA Memcpy init(hostbuffer, size,...); cudamalloc(&devicebuffer, size); cudamemcpy(devicebuffer, hostbuffer, size, cudamemcpyhosttodevice); kernel<<<>>>(devicebuffer, size,...); // Processes data in devicebuffer cudamemcpy(hostbuffer, devicebuffer, size, cudamemcpydevicetohost); // Can now access processed data in hostbuffer from CPU CUDA ZeroCopy cudahostalloc(&devicemappedhostbuffer, size); init(devicemappedhostbuffer, size,...); kernel<<<>>>(devicemappedhostbuffer, size,...); // Processes data in devicemappedhostbuffer cudadevicesynchronize(); // Enforces GPU is finshed using the ZeroCopy memory // Can now access processed data in devicemappedhostbuffer from CPU UVM
14 CUDA 6.0 UVM ON WINDOWS Combines UVA and Zero-Copy Lite Can t do lazy copy of Host memory accesses to Device when needed X64 only cudamallocmanaged(&managedbuffer, size); // Begins on the device, like cudamalloc init(managedbuffer, size,...); // Ownership taken by host kernel<<<>>>(managedbuffer, size,...); // Data moves to device, processed in device memory cudadevicesynchronize(); //enforces GPU is completed with using the ManagedBuffer memory // Can now access managedbuffer from CPU, data moves to host memory
15 DEMO - TRACE
16 WHAT FUTURE LOOKS LIKE More advanced profiling experiments Shader and kernel profiling with source code correlation OGL Serialization with source code generation
17 CONCLUSION AND Q&A CUDA 6.0 Support New DirectX 11 development user experience Improved OpenGL support
18 USEFUL LINKS Support Download Nsight Visual Studio Edition Developer Forums ->Development Tools ->Nsight VSE Nsight documentation Start All Programs NVIDIA Corporation NVIDIA Nsight Visual Studio Edition 4.0 User Guide
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