Tại sao công nghệ máy học lại cần tới GPU?
Tại sao nhiều nhà sản xuất chip như Nvidia và AMD lại chọn GPU để đầu tư vào lĩnh vực máy học, thay vì CPU?
Compiling OpenGL Assembly Language (ARB) assembly code
I have two questions to ask.
GPU Data Flow Architecture
I am currently working on CUDA, DirectX. I want to know the data flow architecture of GPUs. The one presented for CUDA and DirectX are parallel programming model and graphics pipelines respectively. But, I want to know the data flow architecture (like, the data flow architecture of 8086 processors).
How to select an appropriate Nvidia GPU for learning CUDA [closed]
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Does the ray tracing algorithm involves rasterization of image?
I am constructing a ray tracing algorithm , i know that the first step is to develop camera and view plane specifications.
Now is the next step performing rasterization algorithm on image before a BVH tree is constructed so that intersection tests can be performed?
Does the ray tracing algorithm involves rasterization of image?
I am constructing a ray tracing algorithm , i know that the first step is to develop camera and view plane specifications.
Now is the next step performing rasterization algorithm on image before a BVH tree is constructed so that intersection tests can be performed?
Must OpenCL code be compiled for a specific GPU?
Most OpenCL Tutorials give a nice introduction to OpenCL, yet I have not found information on the question of interoperability of the compilation targets. It seems that I have to compile OpenCL code for the target GPU. Now when making a binary distribution of an application using OpenCL, does one have to make several builds for the vendor-platforms?
Must OpenCL code be compiled for a specific GPU?
Most OpenCL Tutorials give a nice introduction to OpenCL, yet I have not found information on the question of interoperability of the compilation targets. It seems that I have to compile OpenCL code for the target GPU. Now when making a binary distribution of an application using OpenCL, does one have to make several builds for the vendor-platforms?
Must OpenCL code be compiled for a specific GPU?
Most OpenCL Tutorials give a nice introduction to OpenCL, yet I have not found information on the question of interoperability of the compilation targets. It seems that I have to compile OpenCL code for the target GPU. Now when making a binary distribution of an application using OpenCL, does one have to make several builds for the vendor-platforms?
How do I decide the specifications for a compute cluster that I need for a fine-tuning task in Azure ML?
I was using the Standard_NC48ads_A100_v4 Compute cluster with 2 nodes to fine-tune a Phi-3-mini-128k-instruct model. The data used for the same was around 25 MB. I set the training batch size to 10. The fine-tuning job failed and returned an error that there was not enough memory on the GPU.