Facewall and OpenBMB open-source ForgeStencil, an AI system that optimizes 100+ real HPC apps in a week

面壁智能 · wechat · 2026-08-04

ForgeStencil open-sources a dual-agent system for automatic Stencil optimization

Facewall Intelligence and OpenBMB say ForgeStencil is the first AI system that can automatically research, optimize, and deploy Stencil workloads end to end. Users provide source code, and the system handles hotspot analysis, kernel synthesis, replacement, correctness checks, and reintegration into the original application.

Reported results

100+ real industrial and scientific applications optimized in one week
2.35× geometric-mean speedup over leading open-source baselines for fp32 kernels
1.95× additional speedup for mixed-precision fp16 read/write workloads
1.34× geometric-mean gain on difficult variable-coefficient Stencil shapes

How it works

KernelAgent: searches for high-performance kernels and builds a reusable operator knowledge base
AppAgent: identifies hotspots in real applications, benchmarks end-to-end performance, validates correctness, and integrates optimized kernels back into the app

Real-world examples mentioned

hypre multigrid solver: 3.86×
minisweep transport mini-app: 5.78×
gprMax/FDTD electromagnetic simulation: 2.47×
RTM seismic imaging: 1.81×
QuantLib bond pricing: 1.82×
MRI reconstruction: 2.45×
Digital breast tomosynthesis backprojection: 1.63×

The post argues this moves Stencil optimization from expert-driven tuning to scalable AI-assisted engineering, especially for industrial software, scientific computing, and “industrial upgrading” workflows.

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Facewall and OpenBMB open-source ForgeStencil, an AI system that optimizes 100+ real HPC apps in a week

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