MarkTechPost@AI 2024年08月23日
DeepSim: AI-Accelerated 3D Physics Simulator for Engineers
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DeepSim 是一款革命性的 AI 模拟平台,它可以自动执行物理设置,从而实现 1000 倍更快的设计模拟,而不会牺牲精度。该平台通过结合强大的 GPU 加速求解器和轻量级、易于训练的 AI 模型,实现了高效且快速的解决方案交付。这项技术消除了传统有限元方法 (FEM) 工具的笨重性,并克服了其他 AI 物理模拟的刚性。DeepSim 团队与半导体公司合作开发了最先进的电路设计热模拟器。该模拟器可以在单个 GPU 上以分钟为单位运行具有数十亿个节点的热模拟,提供比使用 50 个或更多个 CPU 内核同时运行的商业工具高 1000 倍的细节。

😊 DeepSim 是一款 AI 加速的 3D 物理模拟器,它利用 AI 模型和 GPU 加速求解器来实现比传统有限元方法 (FEM) 工具快 1000 倍的模拟速度,这使得工程师能够在几分钟内完成复杂的模拟,而传统方法则需要数天时间。DeepSim 的速度优势源于其对 AI 模型的利用,这些模型经过训练可以预测物理现象的行为,从而减少了对昂贵的计算资源的需求。DeepSim 能够模拟各种物理现象,包括热传递、流体动力学和结构力学,这使其成为各种工程应用的宝贵工具。

😉 DeepSim 团队由来自斯坦福大学的博士组成,他们在 GPU 加速求解器和半导体器件和电路的热模拟方面拥有丰富的经验。DeepSim 的开发重点是解决传统模拟工具中存在的挑战,例如模拟复杂几何形状、流体动力学或大型系统时对计算资源的巨大需求。DeepSim 的 AI 加速模拟方法能够显著减少模拟时间,同时保持精度,从而使工程师能够更快地进行设计迭代和优化。

🤔 DeepSim 的 AI 加速模拟方法能够显著减少模拟时间,同时保持精度,从而使工程师能够更快地进行设计迭代和优化。例如,DeepSim 能够在几分钟内完成具有数十亿个节点的热模拟,而传统方法则需要数小时甚至数天时间。DeepSim 的速度优势使其成为各种工程应用的宝贵工具,例如电路设计、汽车设计和航空航天工程。通过利用 AI 的力量,DeepSim 可以帮助工程师更快地创新,并开发出更高效、更安全的产品。

😄 DeepSim 的开发重点是解决传统模拟工具中存在的挑战,例如模拟复杂几何形状、流体动力学或大型系统时对计算资源的巨大需求。DeepSim 的 AI 加速模拟方法能够显著减少模拟时间,同时保持精度,从而使工程师能够更快地进行设计迭代和优化。例如,DeepSim 能够在几分钟内完成具有数十亿个节点的热模拟,而传统方法则需要数小时甚至数天时间。DeepSim 的速度优势使其成为各种工程应用的宝贵工具,例如电路设计、汽车设计和航空航天工程。通过利用 AI 的力量,DeepSim 可以帮助工程师更快地创新,并开发出更高效、更安全的产品。

😁 DeepSim 的 AI 加速模拟方法能够显著减少模拟时间,同时保持精度,从而使工程师能够更快地进行设计迭代和优化。例如,DeepSim 能够在几分钟内完成具有数十亿个节点的热模拟,而传统方法则需要数小时甚至数天时间。DeepSim 的速度优势使其成为各种工程应用的宝贵工具,例如电路设计、汽车设计和航空航天工程。通过利用 AI 的力量,DeepSim 可以帮助工程师更快地创新,并开发出更高效、更安全的产品。

One uses computational power in physics simulation to solve mathematical models that describe physical events. When dealing with complex geometries, fluid dynamics, or large-scale systems, the processing demands of these simulations can be enormous, but the insights they bring are vital. 3D physics simulations are time-consuming, costly, and a pain to run. Before even running a single simulation, experienced engineers still invest significant time in meshing their ideas. Many simulations take hours—if not weeks—on pricey computing systems. Some are so difficult that even skilled engineers must simplify them, greatly compromising accuracy. Simulators are delicate and can crash at any moment thus continual monitoring is required at every stage.

Meet DeepSim, a revolutionary AI simulation platform that automates the physics setup, allowing for 1000X faster design simulations without sacrificing accuracy. The platform’s efficient and rapid solution delivery is made possible by combining a powerful GPU-accelerated solver and lightweight, easily trainable AI models. With this technology, the bulkiness of classic finite element method (FEM) tools is removed, and the rigidity of other AI physics simulations is surmounted.

The DeepSim team has developed the most advanced thermal simulator for circuit design in collaboration with semiconductor companies. This simulator can run thermal simulations with billions of nodes in minutes on a single GPU, providing a thousand times higher detail than a commercial tool using fifty or more CPU cores simultaneously.

Modeling exceedingly complicated geometries with length scales spanning six orders of magnitude, which are impossible to solve with FEM tools, is now possible using DeepSim’s simulator. A 10-minute thermal simulation of an integrated circuit with all the necessary components (heat sink, airflow, etc.) is shown below. Within a complete chip (1 cm), DeepSim can resolve hot spots in individual transistors (~10 nm in size).

To summarize

DeepSim is developing an AI-powered 3D physics simulator that can complete complicated simulations in minutes rather than days, thanks to its 1000X speed advantage over current FEM tools. PhDs from Stanford University who have extensive experience with GPU-accelerated solvers and thermal simulation of semiconductor devices and circuits started DeepSim. Quick and straightforward 3D physics simulations are now within engineers’ reach with DeepSim. Faster design iterations lead to better products, and better judgments are made through real-world monitoring.

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DeepSim AI 模拟 3D 物理模拟 GPU 加速 有限元方法
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