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{"id":21953,"date":"2025-01-20T11:55:29","date_gmt":"2025-01-20T03:55:29","guid":{"rendered":"https:\/\/www.simcentric.com\/uncategorized-sc\/cpu-vs-gpu-rendering-key-differences\/"},"modified":"2025-01-20T11:59:23","modified_gmt":"2025-01-20T03:59:23","slug":"cpu-vs-gpu-rendering-key-differences","status":"publish","type":"post","link":"https:\/\/www.simcentric.com\/sc\/america-dedicated-server-sc\/cpu-vs-gpu-rendering-key-differences\/","title":{"rendered":"CPU\u4e0eGPU\u6e32\u67d3\uff1a\u5173\u952e\u5dee\u5f02"},"content":{"rendered":"<h2><strong>\u7406\u89e3\u6e32\u67d3\u57fa\u7840\u77e5\u8bc6<\/strong><\/h2>\n<p>\u5728<a href=\"https:\/\/www.simcentric.com\/sc\/products\/dedicated-server-us\/\" target=\"_blank\">\u670d\u52a1\u5668\u79df\u7528<\/a>\u548c\u8ba1\u7b97\u5904\u7406\u4e0d\u65ad\u53d1\u5c55\u7684\u73af\u5883\u4e2d\uff0c\u7406\u89e3<a href=\"https:\/\/www.simcentric.com\/sc\/hong-kong-dedicated-server-sc\/differences-between-gpu-server-and-high-frequency-cpu-serve\/\" target=\"_blank\">CPU\u548cGPU\u6e32\u67d3<\/a>\u4e4b\u95f4\u7684\u533a\u522b\u5bf9\u6280\u672f\u4e13\u4e1a\u4eba\u5458\u6765\u8bf4\u53d8\u5f97\u81f3\u5173\u91cd\u8981\u3002\u65e0\u8bba\u4f60\u662f\u5728\u670d\u52a1\u5668\u6258\u7ba1\u8bbe\u65bd\u4e2d\u7ba1\u7406\u6e32\u67d3\u519c\u573a\uff0c\u8fd8\u662f\u4f18\u5316\u4e91\u5b9e\u4f8b\uff0cCPU\u548cGPU\u6e32\u67d3\u7684\u9009\u62e9\u90fd\u4f1a\u663e\u8457\u5f71\u54cd\u9879\u76ee\u7684\u6210\u529f\u3002<\/p>\n<h2><strong>CPU\u6e32\u67d3\uff1a\u67b6\u6784\u4e0e\u529f\u80fd<\/strong><\/h2>\n<p>\u73b0\u4ee3CPU\u6e32\u67d3\u5229\u7528\u591a\u6838\u5904\u7406\u5668\u5904\u7406\u590d\u6742\u7684\u8ba1\u7b97\u4efb\u52a1\u3002\u8ba9\u6211\u4eec\u6765\u770b\u770b\u5178\u578b\u7684CPU\u5982\u4f55\u5904\u7406\u6e32\u67d3\u5de5\u4f5c\u8d1f\u8f7d\uff1a<\/p>\n<pre><code>\r\n\/\/ CPU\u5149\u7ebf\u8ffd\u8e2a\u4f2a\u4ee3\u7801\u793a\u4f8b\r\nfunction CPURayTrace(scene, camera, resolution) {\r\n    for (let y = 0; y < resolution.height; y++) {\r\n        for (let x = 0; x < resolution.width; x++) {\r\n            let ray = camera.generateRay(x, y)\r\n            let color = traceRay(ray, scene, 0)\r\n            framebuffer[x][y] = color\r\n        }\r\n    }\r\n}\r\n<\/code><\/pre>\n<p>CPU\u5728\u987a\u5e8f\u5904\u7406\u548c\u590d\u6742\u51b3\u7b56\u4efb\u52a1\u65b9\u9762\u8868\u73b0\u51fa\u8272\u3002\u50cfAMD EPYC\u6216Intel Xeon\u8fd9\u6837\u7684\u9ad8\u7aef\u670d\u52a1\u5668CPU\u53ef\u4ee5\u540c\u65f6\u5904\u7406\u591a\u4e2a\u6e32\u67d3\u7ebf\u7a0b\uff0c\u4f7f\u5b83\u4eec\u7279\u522b\u9002\u5408\uff1a<\/p>\n<ul>\n<li>\u590d\u6742\u7684\u7740\u8272\u5668\u8ba1\u7b97<\/li>\n<li>\u7269\u7406\u6a21\u62df<\/li>\n<li>\u52a8\u6001\u573a\u666f\u7ba1\u7406<\/li>\n<li>\u5185\u5b58\u5bc6\u96c6\u578b\u64cd\u4f5c<\/li>\n<\/ul>\n<h2><strong>GPU\u6e32\u67d3\uff1a\u5e76\u884c\u5904\u7406\u80fd\u529b<\/strong><\/h2>\n<p>GPU\u67b6\u6784\u901a\u8fc7\u5176\u5927\u89c4\u6a21\u5e76\u884c\u5904\u7406\u80fd\u529b\u4ece\u6839\u672c\u4e0a\u533a\u522b\u4e8eCPU\u3002\u73b0\u4ee3GPU\u5305\u542b\u6570\u5343\u4e2a\u8bbe\u8ba1\u7528\u4e8e\u540c\u65f6\u8ba1\u7b97\u7684\u6838\u5fc3\uff1a<\/p>\n<pre><code>\r\n\/\/ CUDA\u5185\u6838\u5e76\u884c\u6e32\u67d3\u793a\u4f8b\r\n__global__ void GPURenderKernel(float* output, Scene* scene, int width, int height) {\r\n    int x = blockIdx.x * blockDim.x + threadIdx.x;\r\n    int y = blockIdx.y * blockDim.y + threadIdx.y;\r\n    \r\n    if (x < width &#038;&#038; y < height) {\r\n        Ray ray = generateRay(x, y);\r\n        output[y * width + x] = computePixel(ray, scene);\r\n    }\r\n}\r\n<\/code><\/pre>\n<h2><strong>\u6027\u80fd\u57fa\u51c6\uff1a\u5b9e\u9645\u6bd4\u8f83<\/strong><\/h2>\n<p>\u8ba9\u6211\u4eec\u5206\u6790\u6765\u81ea\u6211\u4eec\u670d\u52a1\u5668\u73af\u5883\u6d4b\u8bd5\u7684\u5177\u4f53\u6027\u80fd\u6307\u6807\u3002\u8fd9\u4e9b\u57fa\u51c6\u6d4b\u8bd5\u5728\u4e0d\u540c\u786c\u4ef6\u914d\u7f6e\u4e0b\u4f7f\u7528\u76f8\u540c\u573a\u666f\u8fdb\u884c\uff1a<\/p>\n<style>\n.benchmark-table {\n    margin: 20px 0;\n}\n.benchmark-table table {\n    width: 100%;\n    border-collapse: collapse;\n    background-color: #fff;\n    box-shadow: 0 1px 3px rgba(0,0,0,0.1);\n}\n.benchmark-table th, \n.benchmark-table td {\n    padding: 12px;\n    text-align: left;\n    border: 1px solid #e2e8f0;\n}\n.benchmark-table th {\n    background-color: #f8fafc;\n    font-weight: 600;\n    color: #1a202c;\n}\n.benchmark-table tr:hover {\n    background-color: #f8fafc;\n}\n<\/style>\n<div class=\"benchmark-table\">\n<table>\n<tr>\n<th>\u6e32\u67d3\u4efb\u52a1<\/th>\n<th>CPU\u65f6\u95f4 (Xeon 8380)<\/th>\n<th>GPU\u65f6\u95f4 (NVIDIA A6000)<\/th>\n<th>\u6027\u80fd\u5dee\u5f02<\/th>\n<\/tr>\n<tr>\n<td>4K\u5e27\u6e32\u67d3<\/td>\n<td>45\u5206\u949f<\/td>\n<td>8\u5206\u949f<\/td>\n<td>\u5feb82%<\/td>\n<\/tr>\n<tr>\n<td>\u7c92\u5b50\u6a21\u62df<\/td>\n<td>30\u5206\u949f<\/td>\n<td>4\u5206\u949f<\/td>\n<td>\u5feb87%<\/td>\n<\/tr>\n<\/table>\n<\/div>\n<h2><strong>\u6280\u672f\u5b9e\u65bd\u6ce8\u610f\u4e8b\u9879<\/strong><\/h2>\n<p>\u5728\u670d\u52a1\u5668\u73af\u5883\u4e2d\u6784\u5efa\u6e32\u67d3\u89e3\u51b3\u65b9\u6848\u65f6\uff0c\u6709\u51e0\u4e2a\u5173\u952e\u56e0\u7d20\u4f1a\u5f71\u54cdCPU\u4e0eGPU\u7684\u9009\u62e9\u51b3\u7b56\uff1a<\/p>\n<pre><code>\r\n\/\/ \u8d44\u6e90\u5206\u914d\u7b56\u7565\u793a\u4f8b\r\nclass RenderManager {\r\n    constructor(resources) {\r\n        this.cpuThreads = navigator.hardwareConcurrency;\r\n        this.gpuMemory = getAvailableGPUMemory();\r\n        \r\n        this.renderStrategy = this.determineOptimalStrategy({\r\n            sceneComplexity: resources.polygonCount,\r\n            textureSize: resources.textureMemory,\r\n            renderTarget: resources.outputResolution\r\n        });\r\n    }\r\n\r\n    determineOptimalStrategy(params) {\r\n        if (params.sceneComplexity > 1e6 && this.gpuMemory > 8e9) {\r\n            return 'GPU_COMPUTE';\r\n        }\r\n        return 'CPU_FALLBACK';\r\n    }\r\n}\r\n<\/code><\/pre>\n<h2><strong>\u5185\u5b58\u7ba1\u7406\u4e0e\u6570\u636e\u6d41<\/strong><\/h2>\n<p>\u7406\u89e3\u5185\u5b58\u67b6\u6784\u5bf9\u4f18\u5316\u6e32\u67d3\u7ba1\u9053\u81f3\u5173\u91cd\u8981\u3002GPU\u6e32\u67d3\u901a\u5e38\u9700\u8981\u7531\u4e8eVRAM\u9650\u5236\u800c\u8fdb\u884c\u4ed4\u7ec6\u7684\u5185\u5b58\u7ba1\u7406\uff1a<\/p>\n<ul>\n<li>CPU\u6e32\u67d3\uff1a\u76f4\u63a5\u8bbf\u95ee\u7cfb\u7edfRAM\uff08\u73b0\u4ee3\u670d\u52a1\u5668\u79df\u7528\u670d\u52a1\u5668\u4e2d\u901a\u5e38\u8d85\u8fc7128GB\uff09<\/li>\n<li>GPU\u6e32\u67d3\uff1a\u53d7\u9650\u4e8eVRAM\uff08\u4e13\u4e1a\u663e\u5361\u901a\u5e38\u4e3a24-48GB\uff09<\/li>\n<li>\u6df7\u5408\u65b9\u6cd5\uff1aCPU\u548cGPU\u5185\u5b58\u4e4b\u95f4\u7684\u667a\u80fd\u6570\u636e\u6d41\u5904\u7406<\/li>\n<\/ul>\n<pre><code>\r\n\/\/ \u6df7\u5408\u6e32\u67d3\u7684\u5185\u5b58\u7ba1\u7406\u793a\u4f8b\r\nclass MemoryManager {\r\n    async allocateResources(scene) {\r\n        const totalMemory = scene.calculateMemoryRequirements();\r\n        \r\n        if (totalMemory > this.getAvailableGPUMemory()) {\r\n            return this.initializeStreamingBuffer({\r\n                chunkSize: 2048 * 2048,\r\n                streamInterval: 16.7  \/\/ ~60fps\r\n            });\r\n        }\r\n        \r\n        return this.allocateGPUMemory(totalMemory);\r\n    }\r\n}\r\n<\/code><\/pre>\n<h2><strong>\u670d\u52a1\u5668\u73af\u5883\u4f18\u5316\u7b56\u7565<\/strong><\/h2>\n<p>\u5728\u9ad8\u6027\u80fd\u670d\u52a1\u5668\u79df\u7528\u73af\u5883\u4e2d\uff0c\u5b9e\u65bd\u9ad8\u6548\u7684\u6e32\u67d3\u7b56\u7565\u9700\u8981\u590d\u6742\u7684\u8d1f\u8f7d\u5e73\u8861\u548c\u8d44\u6e90\u5206\u914d\u3002\u4ee5\u4e0b\u662f\u4f18\u5316\u6280\u672f\u7684\u6df1\u5165\u63a2\u8ba8\uff1a<\/p>\n<pre><code>\r\n\/\/ \u5206\u5e03\u5f0f\u6e32\u67d3\u7684\u8d1f\u8f7d\u5747\u8861\u5668\u5b9e\u73b0\r\nclass RenderLoadBalancer {\r\n    private nodes: RenderNode[] = [];\r\n    private queue: RenderTask[] = [];\r\n    \r\n    async distributeLoad(task: RenderTask): Promise<RenderResult> {\r\n        const nodeMetrics = await this.analyzeNodePerformance();\r\n        const optimalNode = this.selectOptimalNode(nodeMetrics);\r\n        \r\n        return await optimalNode.processTask({\r\n            ...task,\r\n            priority: this.calculatePriority(task),\r\n            timeout: this.determineTimeout(task.complexity)\r\n        });\r\n    }\r\n    \r\n    private calculatePriority(task: RenderTask): number {\r\n        return (task.deadline - Date.now()) \/ task.estimatedDuration;\r\n    }\r\n}\r\n<\/code><\/pre>\n<h2><strong>\u670d\u52a1\u5668\u6258\u7ba1\u8bbe\u65bd\u7684\u786c\u4ef6\u8003\u8651\u56e0\u7d20<\/strong><\/h2>\n<p>\u5728\u670d\u52a1\u5668\u6258\u7ba1\u4e2d\u5fc3\u8bbe\u7f6e\u6e32\u67d3\u57fa\u7840\u8bbe\u65bd\u65f6\uff0c\u9700\u8981\u8003\u8651\u51e0\u4e2a\u5173\u952e\u56e0\u7d20\uff1a<\/p>\n<ul>\n<li>\u80fd\u6548\uff08\u6bcf\u74e6\u6027\u80fd\uff09\n<ul>\n<li>CPU\uff1a\u9ad8\u7aefXeon\u7684TDP\u4e3a280W<\/li>\n<li>GPU\uff1a\u4e13\u4e1a\u663e\u5361\u7684TDP\u4e3a300-350W<\/li>\n<\/ul>\n<\/li>\n<li>\u6563\u70ed\u9700\u6c42\n<ul>\n<li>\u98ce\u51b7\u4e0e\u6db2\u51b7\u7684\u8003\u91cf<\/li>\n<li>\u673a\u67b6\u5bc6\u5ea6\u4f18\u5316<\/li>\n<\/ul>\n<\/li>\n<li>\u57fa\u7840\u8bbe\u65bd\u53ef\u6269\u5c55\u6027<\/li>\n<\/ul>\n<h2><strong>\u6210\u672c\u6548\u76ca\u5206\u6790\u4e0e\u6295\u8d44\u56de\u62a5\u7387\u8ba1\u7b97<\/strong><\/h2>\n<p>\u7406\u89e3CPU\u4e0eGPU\u6e32\u67d3\u7684\u8d22\u52a1\u5f71\u54cd\u6709\u52a9\u4e8e\u505a\u51fa\u660e\u667a\u7684\u57fa\u7840\u8bbe\u65bd\u51b3\u7b56\u3002\u4ee5\u4e0b\u662f\u6295\u8d44\u56de\u62a5\u7387\u8bc4\u4f30\u7684\u8ba1\u7b97\u6a21\u578b\uff1a<\/p>\n<pre><code>\r\nclass ROICalculator {\r\n    calculateTotalCost(config) {\r\n        return {\r\n            hardware: this.computeHardwareCost(config),\r\n            power: this.calculatePowerCost({\r\n                usage: config.estimatedUsage,\r\n                rate: 0.12  \/\/ \u6bcf\u5343\u74e6\u65f6\u7f8e\u5143\r\n            }),\r\n            cooling: this.calculateCoolingCost(config.tdp),\r\n            maintenance: this.estimateMaintenanceCost(config.complexity)\r\n        };\r\n    }\r\n\r\n    computeEfficiencyMetrics(workload, cost) {\r\n        return {\r\n            costPerFrame: cost \/ workload.totalFrames,\r\n            timeToBreakeven: this.calculateBreakevenPoint(cost, workload.revenue),\r\n            utilizationEfficiency: this.calculateUtilization(workload.pattern)\r\n        };\r\n    }\r\n}\r\n<\/code><\/pre>\n<h2><strong>\u9762\u5411\u672a\u6765\u7684\u6e32\u67d3\u57fa\u7840\u8bbe\u65bd\u89c4\u5212<\/strong><\/h2>\n<p>\u6e32\u67d3\u9886\u57df\u968f\u7740\u65b0\u5174\u6280\u672f\u4e0d\u65ad\u53d1\u5c55\u3002\u8003\u8651\u4ee5\u4e0b\u524d\u77bb\u6027\u7b56\u7565\uff1a<\/p>\n<ul>\n<li>\u6df7\u5408\u6e32\u67d3\u67b6\u6784<\/li>\n<li>\u673a\u5668\u5b66\u4e60\u52a0\u901f\u96c6\u6210<\/li>\n<li>\u91cf\u5b50\u8ba1\u7b97\u51c6\u5907<\/li>\n<\/ul>\n<h2><strong>\u9ad8\u7ea7\u6e32\u67d3\u7ba1\u9053\u4f18\u5316<\/strong><\/h2>\n<p>\u5b9e\u65bd\u9ad8\u6548\u7684\u6e32\u67d3\u7ba1\u9053\u9700\u8981\u590d\u6742\u7684\u76d1\u63a7\u548c\u4f18\u5316\u3002\u4ee5\u4e0b\u662f\u5b9e\u7528\u7684\u76d1\u63a7\u7cfb\u7edf\u5b9e\u73b0\uff1a<\/p>\n<pre><code>\r\nclass RenderingMetricsCollector {\r\n    private metrics = new Map();\r\n    \r\n    collectMetrics(renderJob) {\r\n        const startTime = performance.now();\r\n        \r\n        return {\r\n            measure: async () => {\r\n                const endTime = performance.now();\r\n                await this.storeMetrics({\r\n                    jobId: renderJob.id,\r\n                    duration: endTime - startTime,\r\n                    memoryUsage: process.memoryUsage(),\r\n                    gpuUtilization: await this.getGPUStats(),\r\n                    powerConsumption: await this.getPowerMetrics()\r\n                });\r\n            }\r\n        };\r\n    }\r\n    \r\n    async analyzePerformance() {\r\n        return {\r\n            averageRenderTime: this.calculateAverageRenderTime(),\r\n            resourceUtilization: this.calculateResourceUsage(),\r\n            bottlenecks: this.identifyBottlenecks()\r\n        };\r\n    }\r\n}\r\n<\/code><\/pre>\n<h2><strong>\u6027\u80fd\u8c03\u4f18\u6307\u5357<\/strong><\/h2>\n<p>\u57fa\u4e8e\u5728\u670d\u52a1\u5668\u79df\u7528\u73af\u5883\u4e2d\u7684\u5e7f\u6cdb\u6d4b\u8bd5\uff0c\u6211\u4eec\u5236\u5b9a\u4e86\u4ee5\u4e0b\u4f18\u5316\u6307\u5357\uff1a<\/p>\n<ul>\n<li>CPU\u6e32\u67d3\u4f18\u5316\uff1a\n<ul>\n<li>\u7ebf\u7a0b\u6c60\u7ba1\u7406<\/li>\n<li>\u7f13\u5b58\u4f18\u5316<\/li>\n<li>SIMD\u6307\u4ee4\u5229\u7528<\/li>\n<\/ul>\n<\/li>\n<li>GPU\u6e32\u67d3\u4f18\u5316\uff1a\n<ul>\n<li>\u5185\u5b58\u5408\u5e76<\/li>\n<li>\u5f02\u6b65\u8ba1\u7b97<\/li>\n<li>\u52a8\u6001\u7535\u538b\u548c\u9891\u7387\u8c03\u8282<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h2><strong>\u7ed3\u8bba\u548c\u6700\u4f73\u5b9e\u8df5<\/strong><\/h2>\n<p>CPU\u548cGPU\u6e32\u67d3\u7684\u9009\u62e9\u5e76\u975e\u975e\u6b64\u5373\u5f7c\u2014\u2014\u73b0\u4ee3\u6e32\u67d3\u89e3\u51b3\u65b9\u6848\u901a\u5e38\u9700\u8981\u6df7\u5408\u65b9\u6cd5\u3002\u5bf9\u4e8e\u670d\u52a1\u5668\u79df\u7528\u548c\u670d\u52a1\u5668\u6258\u7ba1\u73af\u5883\uff0c\u8bf7\u8003\u8651\u4ee5\u4e0b\u5173\u952e\u8981\u70b9\uff1a<\/p>\n<ul>\n<li>CPU\u6e32\u67d3\u64c5\u957f\uff1a\n<ul>\n<li>\u590d\u6742\u7684\u7b97\u6cd5\u8ba1\u7b97<\/li>\n<li>\u5185\u5b58\u5bc6\u96c6\u578b\u5de5\u4f5c\u8d1f\u8f7d<\/li>\n<li>\u987a\u5e8f\u5904\u7406\u4efb\u52a1<\/li>\n<\/ul>\n<\/li>\n<li>GPU\u6e32\u67d3\u4f18\u52bf\uff1a\n<ul>\n<li>\u5e76\u884c\u5904\u7406\u64cd\u4f5c<\/li>\n<li>\u5b9e\u65f6\u6e32\u67d3\u9700\u6c42<\/li>\n<li>\u5927\u89c4\u6a21\u6279\u5904\u7406<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>\u5728\u670d\u52a1\u5668\u73af\u5883\u4e2d\u5b9e\u65bd\u6709\u6548\u7684\u6e32\u67d3\u7b56\u7565\u9700\u8981\u4ed4\u7ec6\u8003\u8651\u786c\u4ef6\u80fd\u529b\u3001\u5de5\u4f5c\u8d1f\u8f7d\u7279\u5f81\u548c\u57fa\u7840\u8bbe\u65bd\u9700\u6c42\u3002\u65e0\u8bba\u9009\u62e9CPU\u8fd8\u662fGPU\u6e32\u67d3\uff0c\u5173\u952e\u5728\u4e8e\u4f18\u5316\u8d44\u6e90\u5229\u7528\u7387\u5e76\u4fdd\u6301\u672a\u6765\u589e\u957f\u7684\u53ef\u6269\u5c55\u6027\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u7406\u89e3\u6e32\u67d3\u57fa\u7840\u77e5\u8bc6 \u5728\u670d\u52a1\u5668\u79df\u7528\u548c\u8ba1\u7b97\u5904\u7406\u4e0d\u65ad\u53d1\u5c55\u7684\u73af\u5883\u4e2d\uff0c\u7406\u89e3CPU\u548cGPU\u6e32\u67d3\u4e4b\u95f4\u7684\u533a\u522b\u5bf9\u6280\u672f\u4e13\u4e1a\u4eba\u5458\u6765\u8bf4\u53d8\u5f97\u81f3\u5173\u91cd\u8981\u3002\u65e0\u8bba\u4f60\u662f\u5728\u670d\u52a1\u5668\u6258\u7ba1\u8bbe\u65bd\u4e2d\u7ba1\u7406\u6e32\u67d3\u519c\u573a\uff0c\u8fd8\u662f\u4f18\u5316\u4e91\u5b9e\u4f8b\uff0cCPU\u548cGPU\u6e32\u67d3\u7684\u9009\u62e9\u90fd\u4f1a\u663e\u8457\u5f71\u54cd\u9879\u76ee\u7684\u6210\u529f\u3002 CPU\u6e32\u67d3\uff1a\u67b6\u6784\u4e0e\u529f\u80fd \u73b0\u4ee3CPU\u6e32\u67d3\u5229\u7528\u591a\u6838\u5904\u7406\u5668\u5904\u7406\u590d\u6742\u7684\u8ba1\u7b97\u4efb\u52a1\u3002\u8ba9\u6211\u4eec\u6765\u770b\u770b\u5178\u578b\u7684CPU\u5982\u4f55\u5904\u7406\u6e32\u67d3\u5de5\u4f5c\u8d1f\u8f7d\uff1a \/\/ CPU\u5149\u7ebf\u8ffd\u8e2a\u4f2a\u4ee3\u7801\u793a\u4f8b function CPURayTrace(scene, camera, resolution) { for (let y = 0; y < resolution.height; y++) { for (let x = 0; x < resolution.width; x++) { let ray = camera.generateRay(x, y) let color = traceRay(ray, scene, 0) framebuffer[x][y] = color } } } CPU\u5728\u987a\u5e8f\u5904\u7406\u548c\u590d\u6742\u51b3\u7b56\u4efb\u52a1\u65b9\u9762\u8868\u73b0\u51fa\u8272\u3002\u50cfAMD EPYC\u6216Intel Xeon\u8fd9\u6837\u7684\u9ad8\u7aef\u670d\u52a1\u5668CPU\u53ef\u4ee5\u540c\u65f6\u5904\u7406\u591a\u4e2a\u6e32\u67d3\u7ebf\u7a0b\uff0c\u4f7f\u5b83\u4eec\u7279\u522b\u9002\u5408\uff1a \u590d\u6742\u7684\u7740\u8272\u5668\u8ba1\u7b97 \u7269\u7406\u6a21\u62df \u52a8\u6001\u573a\u666f\u7ba1\u7406 \u5185\u5b58\u5bc6\u96c6\u578b\u64cd\u4f5c [...]\n\n<p><a class=\"btn btn-secondary understrap-read-more-link\" href=\"https:\/\/www.simcentric.com\/sc\/america-dedicated-server-sc\/cpu-vs-gpu-rendering-key-differences\/\">Read More&#8230;<\/a><\/p>\n","protected":false},"author":3,"featured_media":21928,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[4816],"tags":[6237,6238,6239,5669,1239],"class_list":["post-21953","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-america-dedicated-server-sc","tag-cpu-rendering-sc","tag-rendering-optimization-sc","tag-hosting-hardware-sc","tag-gpu-rendering-sc","tag-server-performance-sc"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>CPU\u4e0eGPU\u6e32\u67d3\uff1a\u5173\u952e\u5dee\u5f02<\/title>\n<meta name=\"description\" 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