KernelBlaster: Continual Cross-Task CUDA Optimization via Memory-Augmented In-Context Reinforcement Learning | ScienceToStartup | ScienceToStartup

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References (23)

[1]

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

2025Zijian Zhang, Rong Wang et al.

[2]

CodeEvolve: An open source evolutionary coding agent for algorithm discovery and optimization

2025Henrique S. Assumpção, Diego Leonardo Braga Ferreira et al.

[3]

Pie: A Programmable Serving System for Emerging LLM Applications

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"KernelBlaster enhances CUDA optimization with a knowledge-accumulating reinforcement learning framework for superior GPU coding performance."

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KernelBlaster: Continual Cross-Task CUDA Optimization via Memory-Augmented In-Context Reinforcement Learning

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References (23)

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"KernelBlaster enhances CUDA optimization with a knowledge-accumulating reinforcement learning framework for superior GPU coding performance."

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KernelBlaster: Continual Cross-Task CUDA Optimization via Memory-Augmented In-Context Reinforcement Learning

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Founder's Pitch

"KernelBlaster enhances CUDA optimization with a knowledge-accumulating reinforcement learning framework for superior GPU coding performance."

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