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- Ampere is the codename for a graphics processing unit (GPU) microarchitecture developed by Nvidia as the successor to both the Volta and Turing architectures. It was officially announced on May 14, 2020 and is named after French mathematician and physicist André-Marie Ampère.
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Ampere is the codename for a graphics processing unit (GPU) microarchitecture developed by Nvidia as the successor to both the Volta and Turing architectures. It was officially announced on May 14, 2020 and is named after French mathematician and physicist André-Marie Ampère.
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Ada Lovelace, also referred to simply as Lovelace, [1] is a graphics processing unit (GPU) microarchitecture developed by Nvidia as the successor to the Ampere architecture, officially announced on September 20, 2022. It is named after the English mathematician Ada Lovelace, [2] one of the first computer programmers.
Ampere is the codename for a graphics processing unit (GPU) microarchitecture developed by Nvidia as the successor to both the Volta and Turing architectures. It was officially announced on May 14, 2020 and is named after French mathematician and physicist André-Marie Ampère.
E. List of eponyms of Nvidia GPU microarchitectures. Fahrenheit (microarchitecture) Fermi (microarchitecture) Hopper (microarchitecture) Kelvin (microarchitecture) Kepler (microarchitecture) Maxwell (microarchitecture) Pascal (microarchitecture) Rankine (microarchitecture) Tesla (microarchitecture) Turing (microarchitecture)
Consumer ProductGraphics CardsGeForce 16 series GeForce 20 seriesGeForce 10 series Quadro P Tesla P4Ampere (microarchitecture) Ampere is the codename for a graphics processing unit (GPU) microarchitecture developed by Nvidia as the successor to both the Volta and Turing architectures, officially announced on May 14, 2020. It is named after French mathematician and physicist André-Marie Ampère.
Many works have studied the recent Nvidia architectures, such as Volta and Turing, comparing them to their successor, Ampere. However, some microarchitecture features, such as the clock cycles for the different instructions, have not been extensively studied for the Ampere architecture.
first step in accurately modeling the Ampere GPU architecture. The main contributions of this paper are as follows: We demystify the Nvidia Ampere [11] GPU architecture through microbenchmarking by measuring the clock cy-cles latency per instruction on different data types. We show the mapping of PTX instructions to the sass