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NVIDIA

NVIDIA has 2 papers in our library, in 2017–2020, most of them on GPU & parallel computing.

2 papers in our library · 2017–2020

No OpenAlex profile matched yet.

📄 2 works in our library · 🔗 Cited 254 times in our library · ⭐ Paper Stars ranking: #5937

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelf 1The field of science this work belongs to (OpenAlex fields).Computer Science · 2 works

🧭 Topics 1Research subjects and languages the work is about.GPU & parallel computing · 2 works

 Works by year

2020s

20201 paper

2010s

20171 paper

 Papers

The most cited first (OpenAlex and our library).

  1. NVIDIA A100 Tensor Core GPU Architecture (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 (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.

 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 →.

Updated

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