OpenBMB@OpenBMB
59AI 编辑部评分,满分 100
2026-08-04 21:38· 38分钟前
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AI 摘要

面壁智能(OpenBMB)发布开源 AI 系统 ForgeStencil,无需人工干预即可自动研究并部署 Stencil 优化,一周内在 100+ 工业和科学计算应用中实现中位数 1.41×、几何平均 2.05× 的端到端加速。系统由 Kernel Agent 和 App Agent 两个 AI 智能体驱动,已应用于天气预报、地震成像、电磁仿真、核工程、医学影像和量化金融等真实负载。

🚀 AI is moving beyond code generation.

We're releasing ForgeStencil - the first open-source AI system designed to automatically research and deploy Stencil optimizations for real-world HPC applications. 🥳

With no human in the loop, ForgeStencil autonomously researches, optimizes, and deploys stencil kernels - delivering a median 1.41× / geometric-mean 2.05× end-to-end speedup across 100+ industrial and scientific computing applications in just one week.

Powered by two AI agents, ForgeStencil automates the full optimization workflow: 🧠 Kernel Agent researches optimization strategies and generates high-performance kernels. ⚙️ App Agent identifies performance hotspots, integrates optimized kernels into applications, and validates correctness.

ForgeStencil has been applied to real-world workloads including: 🌦️ Weather forecasting 🛢️ Seismic imaging 📡 Electromagnetic simulation ⚛️ Nuclear engineering 🏥 Medical imaging 💹 Quantitative finance

By automating Stencil optimization for real industrial and scientific applications, ForgeStencil enables scalable optimization beyond traditional expert-driven workflows.

💻 GitHub: https://github.com/OpenBMB/ForgeStencil

⭐ Star the repo, try it out, and share what you'd like to optimize with ForgeStencil.

OpenBMB · @OpenBMB · X·2026-08-04 21:38·38分钟前
在 X 看原推· x.com(在新标签页打开)
AI 摘要

面壁智能(OpenBMB)发布开源 AI 系统 ForgeStencil,无需人工干预即可自动研究并部署 Stencil 优化,一周内在 100+ 工业和科学计算应用中实现中位数 1.41×、几何平均 2.05× 的端到端加速。系统由 Kernel Agent 和 App Agent 两个 AI 智能体驱动,已应用于天气预报、地震成像、电磁仿真、核工程、医学影像和量化金融等真实负载。

🚀 AI is moving beyond code generation.

We're releasing ForgeStencil - the first open-source AI system designed to automatically research and deploy Stencil optimizations for real-world HPC applications. 🥳

With no human in the loop, ForgeStencil autonomously researches, optimizes, and deploys stencil kernels - delivering a median 1.41× / geometric-mean 2.05× end-to-end speedup across 100+ industrial and scientific computing applications in just one week.

Powered by two AI agents, ForgeStencil automates the full optimization workflow: 🧠 Kernel Agent researches optimization strategies and generates high-performance kernels. ⚙️ App Agent identifies performance hotspots, integrates optimized kernels into applications, and validates correctness.

ForgeStencil has been applied to real-world workloads including: 🌦️ Weather forecasting 🛢️ Seismic imaging 📡 Electromagnetic simulation ⚛️ Nuclear engineering 🏥 Medical imaging 💹 Quantitative finance

By automating Stencil optimization for real industrial and scientific applications, ForgeStencil enables scalable optimization beyond traditional expert-driven workflows.

💻 GitHub: https://github.com/OpenBMB/ForgeStencil

⭐ Star the repo, try it out, and share what you'd like to optimize with ForgeStencil.

在 X 查看原推x.com(在新标签页打开)