这种用法被称为GPU计算(GPU Computing)。CUDA或OpenCL等平台可以将GPU作为大型的并行处理器使用,无需用到GPU图像相关的功能。 DirectX 11中引入了Compute Shader作为一种GPU Computing的形式。它并不被限死在渲染管线的某个特定阶段。它由图形API调用,可以和Vertex Shader、Pixel Shader等一起使用,使用的着色器处理器...
Platforms such as CUDA and OpenCL are used to control the GPU as a massive parallel processor, with no real need or access to graphics-specific functionality. These frameworks often use languages such as C or C++ with extensions, along with libraries made for the GPU. DirectX 11引进了compute...
Also, if you happen to have Houdini kicking about, would be curious as to how high res a Pyro OpenCL / Minimal Solve you can fit in that amount of memory. That would be awesome; Karma's been coming along really nicely and seems to be a pretty solid production renderer (after a bit...
CUDA/ROCm computations (Tensorflow, Torch, Caffe running) multiple simulators running at the same time other... Rendering system info: On Linux, provide the outputs of the following commands: LANG=C lspci -nn | grep VGA # might require installing pciutils echo "$DISPLAY" LANG=C glxinf...
(DIY), that has full boot screen, and works fantastically. If we get a CUDA accelerated renderer, I will likely upgrade to (2) GTX 970s. Or if we get a OpenCL rendering accelerated solution (Highly unlikely), I'll have the option to upgrade that direction. These kind of options are...
OpenCL CUDA D3D12 and D3D11 computer vision Audio programming DSP video encoding and decoding High Performance Computing Our language of choice is C++20 however we're also amenable to C#, Java, Python and related languages. Contactnewclients@devsh.euwith inquires into contracting. ...
实时体渲染 执行体数据的实时渲染。 In[1]:= data = CUDAVolumetricDataRead[ FileNameJoin[{$CUDALinkExampleDataPath, "Bucky.raw"}], 32, 32]; CUDAVolumetricRender[data, "Width" -> 400, "Height" -> 400] Play Animation»
The CUDA vs. OpenCL performance above doesn’t seem too harsh on AMD’s GPUs, but unfortunately for Team Red, NVIDIA has a trick up its sleeve in the form of OptiX accelerated ray tracing which utilizes Turing’s and Ampere’s dedicated RT cores. When the OptiX API is employed instead ...
Sticking to the Classroom scene, enabling OptiX effectively halves the amount of time it takes to render a frame, which makes AMD’s strengths in the straight-forward CUDA vs. OpenCL battle seem less impressive. While AMD’s RDNA2 improved upon Radeon’s ray tracing capabilities quite well,...
. With full support for indirect branches, a unified address space, and fine-grained exception handling, Fermi is as general purpose as it gets. NVIDIA is even adding C++ support to CUDA (the first iterations of OpenCL and DirectCompute will likely not enable the most general programming ...