Model2Kernel: Model-Aware Symbolic Execution For Safe CUDA Kernels
📰 ArXiv cs.AI
Model2Kernel enables safe CUDA kernels for GPU-accelerated inference using model-aware symbolic execution
Action Steps
- Identify model-dependent tensor layouts and memory indexing patterns
- Apply model-aware symbolic execution to detect memory-safety bugs
- Validate CUDA kernels for correctness and safety
- Integrate Model2Kernel into production inference systems
Who Needs to Know This
This research benefits software engineers and AI researchers working on large language models and GPU-accelerated inference systems, as it helps ensure the safety and reliability of CUDA kernels
Key Insight
💡 Model-aware symbolic execution can effectively detect memory-safety bugs in CUDA kernels
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🚀 Model2Kernel: Safe CUDA kernels for GPU-accelerated inference with model-aware symbolic execution
Key Takeaways
Model2Kernel enables safe CUDA kernels for GPU-accelerated inference using model-aware symbolic execution
Full Article
Title: Model2Kernel: Model-Aware Symbolic Execution For Safe CUDA Kernels
Abstract:
arXiv:2603.24595v1 Announce Type: cross Abstract: The widespread adoption of large language models (LLMs) has made GPU-accelerated inference a critical part of modern computing infrastructure. Production inference systems rely on CUDA kernels to implement core transformer operations, yet these kernels are highly susceptible to memory-safety bugs due to model-dependent tensor layouts, intricate memory indexing, and massive thread-level parallelism. Such bugs can corrupt model weights, crash infer
Abstract:
arXiv:2603.24595v1 Announce Type: cross Abstract: The widespread adoption of large language models (LLMs) has made GPU-accelerated inference a critical part of modern computing infrastructure. Production inference systems rely on CUDA kernels to implement core transformer operations, yet these kernels are highly susceptible to memory-safety bugs due to model-dependent tensor layouts, intricate memory indexing, and massive thread-level parallelism. Such bugs can corrupt model weights, crash infer
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