Author

Corey Lammie

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Preprint Aug 2026

DataKernelBench: Can LLMs Optimize Database Queries on GPUs?

DataKernelBench is introduced, which translates SQL into validated PyTorch TorchPlan programs and evaluates LLMs that optimize either the core tensor-bounded snippet or the full query in CUDA or Triton through execution-guided repair and finds that higher-performing implementations commonly use kernel fusion and execution-strategy changes, stronger models benefit most from full-query specialization, and workload context matters more than hardware context.

Gokul Karthik Kumar, Yotam Perlitz, Corey Lammie et al. · 0 citations

Preprint Aug 2026

On Design Principles for Efficient Heterogeneous DRAM-PIM-GPU Systems

Three fundamental design principles are revealed that provide design-space guidance for architects designing the next generation of memory-accelerated LLM systems.

Corey Lammie, Hadjer Benmeziane, W. Simon et al. · 0 citations