Publication

Understanding NVIDIA GPGPU Hardware

2013
Book Chapters

Abstract

This chapter presents NVIDIA general purpose graphical processing unit (GPGPU) architecture, by detailing both hardware and software concepts. The evolution of GPGPUs from the beginning to the most modern GPGPUs is presented in order to illustrate the trends that motivate the changes that occurred during this evolution. This allows us to anticipate future changes as well as to identify the stable features on which programmers can rely. This chapter starts with a brief history of these chips, then details architectural elements such as the GPGPU core structuration, the memory hierarchy and the hardware scheduling. Software concepts are also presented such as thread organization and correct usage of scheduling.

Official source

https://infoscience.epfl.ch/entities/publication/243fc70c-5f1c-4495-b740-6ccfd4022c31

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2013
Book Chapters

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/243fc70c-5f1c-4495-b740-6ccfd4022c31

About this result

Related concepts (32)

General-purpose computing on graphics processing units

General-purpose computing on graphics processing units (GPGPU, or less often GPGP) is the use of a graphics processing unit (GPU), which typically handles computation only for computer graphics, to perform computation in applications traditionally handled by the central processing unit (CPU). The use of multiple video cards in one computer, or large numbers of graphics chips, further parallelizes the already parallel nature of graphics processing.

Graphics processing unit

A graphics processing unit (GPU) is a specialized electronic circuit initially designed to accelerate computer graphics and (either on a video card or embedded on the motherboards, mobile phones, personal computers, workstations, and game consoles). After their initial design, GPUs were found to be useful for non-graphic calculations involving embarrassingly parallel problems due to their parallel structure. Other non-graphical uses include the training of neural networks and cryptocurrency mining.

Close to Metal

In computing, Close To Metal ("CTM" in short, originally called Close-to-the-Metal) is the name of a beta version of a low-level programming interface developed by ATI, now the AMD Graphics Product Group, aimed at enabling GPGPU computing. CTM was short-lived, and the first production version of AMD's GPGPU technology is now called AMD Stream SDK, or rather the current AMD APP SDK for Windows and Linux 32-bit and 64-bit. APP stands for "Accelerated Parallel Processing" and also targets Heterogeneous System Architecture.

Related publications (9)

Understanding NVIDIA GPGPU Hardware

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