--- title: "NVIDIA — author profile and papers · GPU & parallel computing" description: "NVIDIA: 2 papers on Elamur Research (2017–2020) — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/nvidia/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/nvidia/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / NVIDIA # NVIDIA NVIDIA has 2 papers in our library, in 2017–2020, most of them on [GPU & parallel computing](https://md.research.elamur.ai/free/en/topics/gpu-parallel-computing/). 2 papers in our library · 2017–2020 No OpenAlex profile matched yet. [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/nvidia/#papers) · [🔗 Cited 254 times in our library](https://md.research.elamur.ai/free/en/authors/nvidia/cited-by/) · [⭐ Paper Stars ranking: #5937](https://md.research.elamur.ai/free/en/paper-stars/page/60/#star-5937) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=NVIDIA) · [Semantic Scholar](https://www.semanticscholar.org/search?q=NVIDIA) · [dblp](https://dblp.org/search?q=NVIDIA) · [ACL Anthology](https://aclanthology.org/search/?q=NVIDIA) ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelf 1 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) 🧭 Topics 1 Research subjects and languages the work is about.[GPU & parallel computing · 2 works](https://md.research.elamur.ai/free/en/topics/gpu-parallel-computing/) ## Works by year ### 2020s [**2020** 1 paper](https://md.research.elamur.ai/free/en/authors/nvidia/year/2020/) ### 2010s [**2017** 1 paper](https://md.research.elamur.ai/free/en/authors/nvidia/year/2017/) ## Papers The most cited first (OpenAlex and our library). 1. **[NVIDIA A100 Tensor Core GPU Architecture](https://md.research.elamur.ai/free/en/papers/nvidia-2020-nvidia-a100-tensor-core-gpu/)** *(2020 · 129 citations)* This NVIDIA whitepaper (2020) describes the A100 Tensor Core GPU, built on the GA100 chip of the Ampere architecture and positioned as the eighth-generation data center GPU after Tesla V100. 2. **[NVIDIA Tesla V100 GPU Architecture](https://md.research.elamur.ai/free/en/papers/nvidia-2017-nvidia-tesla-v100-gpu-architecture/)** *(2017 · 125 citations)* This NVIDIA whitepaper presents the Tesla V100 accelerator and its Volta GV100 GPU, the successor to Pascal GP100. ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - NVIDIA whitepaper ×2 ## Cited by Papers of our library cite their works 254 times (of the 149,439 papers whose bibliographies we read); [6 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/nvidia/cited-by/). Updated 2 November 2026