🔗 Who cites «NVIDIA Tensor Core Programmability, Performance & Precision»

117 papers of our library cite it (of the 149,439 whose bibliographies we read) · 1 with a page here, the most cited first · ← back to «NVIDIA Tensor Core Programmability, Performance & Precision»

1. LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language ModelsInternational Conference on Learning Representations (ICLR)Gunho Park, Baeseong Park, Minsub Kim, et al.2022 · 103 citations

116 more papers of our library cite it; they have no page here yet.

This page in Markdown → https://md.research.elamur.ai/free/en/papers/markidis-2018-nvidia-tensor-core-programmability-performance/cited-by/