在人工智能和大规模并行处理中广泛使用的GPU设备的演变

2018 IEEE 2nd Electron Devices Technology and Manufacturing Conference (EDTM) Pub Date : 2018-03-01 DOI:10.1109/EDTM.2018.8421507

T. Baji

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引用次数: 25

摘要

当CPU的性能不再受益于摩尔定律时，GPU(图形处理单元)的性能仍然以每年1.5倍的速度增长。从这个原因，GPU现在不仅广泛用于计算机图形学，还广泛用于大规模并行处理和AI(人工智能)。在本文中，将描述这种持续性能增长的细节，晶体管数量和芯片尺寸的不断发展，以及可扩展的GPU架构。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Evolution of the GPU Device widely used in AI and Massive Parallel Processing

While the CPU performance cannot benefits anymore from Moore's law, GPU (Graphic Processing Unit) still continue to increase its performance 1.5times/year. From this reason, GPU is now widely used not only for computer graphics but also for massive parallel processing and AI (Artificial Intelligence). In this paper, the details of this continuous performance growth, the constant evolution in transistors count and die size, and the scalable GPU architecture will be described.

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2018 IEEE 2nd Electron Devices Technology and Manufacturing Conference (EDTM)

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