---
title: "Who cites NVIDIA Tensor Core — 117 citing papers"
description: "117 papers of the Elamur Research library cite «NVIDIA Tensor Core Programmability, Performance & Precision», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/markidis-2018-nvidia-tensor-core-programmability-performance/cited-by/"
---
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# 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»](https://md.research.elamur.ai/free/en/papers/markidis-2018-nvidia-tensor-core-programmability-performance/)

1. **[LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models](https://md.research.elamur.ai/free/en/papers/park-2022-lut-gemm-quantized-matrix-multiplication/) [International Conference on Learning Representations (ICLR)](https://md.research.elamur.ai/free/en/venues/international-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.

- [← back to](https://md.research.elamur.ai/free/en/papers/markidis-2018-nvidia-tensor-core-programmability-performance/) — NVIDIA Tensor Core Programmability, Performance & Precision