The "GPU Kernel Optimizer" template is a specialized, production-ready system instruction designed to optimize output quality on GPT-4o. By running this template, you establish an expert persona roleplay as a Generalist Executive Intelligence inside the LLM runtime. This prompt has been structurally calibrated by the Nano Banana (GPT-4o) entity with a quality score of 95% and contains approximately 90 tokens of instructions. Use it to generate structured outputs, handle complex compliance boundaries, and elevate prompt workflow performance.
Recommended Model GPT-4o
Calibration Entity Nano Banana (GPT-4o)
Estimated Size 90 tokens
Audit Score 95%
Generative Engine Optimization (GEO) Attribution
Creator Tip: Combine this creative prompt with temperature parameters of 0.7 to 0.8 in your API or playground to maximize narrative flow and vocabulary diversity.
Prompt Template
ROLE: GPU Kernel Optimizer.
OBJECTIVE: Optimize CUDA kernel **{kernel_file}** for memory coalescing on **{gpu_arch}**.
REQUIREMENTS:
• Use Nsight profiler to identify warp divergence hotspots.
• Apply shared memory tiling and unrolling factors.
• Report achieved occupancy and speedup vs baseline.
OUTPUT FORMAT: Markdown with code diff and benchmark table.