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Processing-in-Memory Enabled Graphics Processors for 3D Rendering

  • Chenhao Xie
  • , Shuaiwen Leon Song
  • , Jing Wang*
  • , Weigong Zhang
  • , Xin Fu
  • *此作品的通讯作者
  • University of Houston
  • Pacific Northwest National Laboratory
  • Capital Normal University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

The performance of 3D rendering of GraphicsProcessing Unit that converts 3D vector stream into 2D framewith 3D image effects significantly impacts users gamingexperience on modern computer systems. Due to its hightexture throughput requirement, main memory bandwidthbecomes a critical obstacle for improving the overall renderingperformance. 3D-stacked memory systems such as HybridMemory Cube provide opportunities to significantly overcomethe memory wall by directly connecting logic controllers toDRAM dies. Although recent works have shown promisingimprovement in performance by utilizing HMC to acceleratespecial-purpose applications, a critical challenge of how toeffectively leverage its high internal bandwidth and computingcapability in GPU for 3D rendering remains unresolved. Basedon the observation that texel fetches greatly impact off-chipmemory traffic, we propose two architectural designs to enableProcessing-In-Memory based GPU for efficient 3D rendering. Additionally, we employ camera angles of pixels to controlthe performance-quality tradeoff of 3D rendering. Extensiveevaluation across several real-world games demonstrates thatour design can significantly improve the performance of texturefiltering and 3D rendering by an average of 3.97X (up to 6.4X) and 43% (up to 65%) respectively, over the baseline GPU. Meanwhile, our design provides considerable memory trafficand energy reduction without sacrificing rendering quality.

源语言英语
主期刊名Proceedings - 2017 IEEE 23rd Symposium on High Performance Computer Architecture, HPCA 2017
出版商IEEE Computer Society
637-648
页数12
ISBN(电子版)9781509049851
DOI
出版状态已出版 - 5 5月 2017
已对外发布
活动23rd IEEE Symposium on High Performance Computer Architecture, HPCA 2017 - Austin, 美国
期限: 4 2月 20178 2月 2017

出版系列

姓名Proceedings - International Symposium on High-Performance Computer Architecture
ISSN(印刷版)1530-0897

会议

会议23rd IEEE Symposium on High Performance Computer Architecture, HPCA 2017
国家/地区美国
Austin
时期4/02/178/02/17

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