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| Both sides previous revision Previous revision Next revision | Previous revision | ||
| devwiki:nvidia [2022/09/21 02:55] – [Nvidia Cuda programming] ying | devwiki:nvidia [2022/09/21 09:00] (current) – [Nvidia for AI] ying | ||
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| * each thread has its thread ID, that its id determine which block of data it works on, and all threads finish the data together at the same data. | * each thread has its thread ID, that its id determine which block of data it works on, and all threads finish the data together at the same data. | ||
| * optimize how code use memory can be important to fit more thing in the fixed size memory by better arrangement and swapping thing in memory blocks. | * optimize how code use memory can be important to fit more thing in the fixed size memory by better arrangement and swapping thing in memory blocks. | ||
| + | |||
| + | ====== CV-Cuda ====== | ||
| + | |||
| + | * CV cuda: computer vision with cuda. | ||
| ====== Nivdia RTX stack ====== | ====== Nivdia RTX stack ====== | ||
| Line 45: | Line 49: | ||
| * 1st Gen: VkRay, DXR, DLSS1 | * 1st Gen: VkRay, DXR, DLSS1 | ||
| * 2nd Gen: | * 2nd Gen: | ||
| - | * real-time denoise | + | * real-time |
| * caustics | * caustics | ||
| - | * RTXDI | + | * RTXDI: raytrace direct illumination, |
| - | * RTXGI | + | * RTXGI: real-time multiple bounce indirect lighting |
| * Reflex | * Reflex | ||
| - | * DLSS2 | + | * DLSS2: deep learning super resolution, AI generat pixel |
| * 3rd Gen: | * 3rd Gen: | ||
| * Displaced micro-meshes | * Displaced micro-meshes | ||
| - | * 2D SGM optical flow, shader execution reordering, real-time path tracing, opacity micro-maps, DLSS3 | + | * 2D SGM optical flow, shader execution reordering, real-time path tracing, opacity micro-maps, |
| + | * DLSS3: deep learning super resolution, AI frame generator | ||
| + | |||
| + | ====== Nvidia GPU architecture ====== | ||
| + | |||
| + | | core ^ turing ^ ampere ^ ada | | ||
| + | | shader | 16 | 40 | 90 | | ||
| + | | RT | 49 | 78 | 200 | | ||
| + | | tensor | 130 | 320 | 1400 | | ||
| + | | OFA | | 126 | 300 | | ||
| + | |||
| + | ====== Nvidia for AI ====== | ||
| + | * large language model: enable single model to do various different task with one single model, context aware output. like text related, image related. | ||
| + | * NeMo LLM service, Prompt learning framework, to promp learn with pre-trained LLM for specific task. | ||
| + | * recommed system: like in shopping, social network | ||