LLMA large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.Full definition →-generated GPU kernels for SQL operators hit 2.11x over the baseline on TPC-H/H100, and the paper isolates what drives it: kernel fusion, full-query specialization for stronger models, workload context windowThe maximum amount of text a model can consider at once — its working memory for the current conversation or task.Full definition → over hardware context.
Terms in this piece · Glossary
benchmark — A standard public test set for comparing AI models — the shared scoreboards behind every "model X beats model Y" claim.
LLM — A large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.
context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
articleKernelArc: A Multi-Agent Framework for GPU Kernel OptimizationJoyjit Kundu, Ben Stoffelen, Kaili Wang, Peter Vrancx, Ludovic Denoyer
articleRealisticTritonBench: A Benchmark for Triton-Kernel Generation in Real-World AI FrameworksJinjun Huang, Zhongzhen Wen, Tongtong Xu, Meng Yan, Xin Xia, Zhongxin Liu
videoCan LLMs Write Fast Multi-GPU Kernels? — Simran Arora, Together AIAI Engineer