文章基本信息

标题：A 32nm EGPU Parallel Multiprocessor Based on Co-issue and Multi-Dimensional Parallelism Architecture
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作者：Yang Wang ; Li Zhou ; Tao Sun 等
期刊名称：International Journal of Multimedia and Ubiquitous Engineering
印刷版ISSN：1975-0080
出版年度：2015
卷号：10
期号：5
页码：343-354
DOI：10.14257/ijmue.2015.10.5.32
出版社：SERSC
摘要：In this paper, a Parallel Multiprocessor (PM) based on SIMT (Single Instruction and Multiple Threads) architecture is proposed. With co-issue architecture and multi- dimensional parallelism implemented in high-effective PM, Embedded Graphics Processing Unit (EGPU) provides great performance for various situations, such as general purpose computing, 3D scene rendering, and graphics processing. Application programs are departed into separated threads. Allocated by Thread Processing Unit (TPU), separated threads can be executed in parallel. Parallelism in different hierarchy and dimension are implemented by Multi-Dimensional Parallelism Processor (MD-PP), which has made a proper trade-off between performance and cost. Additionally, PM improves the hardware occupancy with its co-issue architecture and internal bus accessing mechanism to meet the demand of processing capability. Its unified shading architecture also helps to hide processing latency. PM can execute 4 basic operations in the best case and 2 in the worst case within each clock cycle. With 32nm process technology and 200MHz clock frequency, PM's area is about 5104494um 2 , power consumption is about 101.838mW, and it can process nearly 28M vertices or fragments in average. Experimental results show that the MD-PP based PM can process data with high performance and get a balance between efficiency and hardware consumption simultaneously.
关键词：Embedded GPU; SIMT; Co-issue; Multi-Dimensional parallelism