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Design and early evaluation of a 3-D die stacked chip multi-vector processor

机译:三维模具堆叠芯片多向量处理器的设计与早期评估

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Modern vector processors have significant advantages over commodity-based scalar processors for memory-intensive scientific applications. However, vector processors still keep single core architecture, though chip multiprocessors (CMPs) have become the mainstream in recent processor architectures. To realize more efficient and powerful computations on a vector processor, this paper proposes a 3-D stacked chip multi-vector processor (CMVP) by combining a chip multi-vector processor architecture and the coarse-grain die stacking technology. The 3-D stacked CMVP consists of I/O layers, core layers and the vector cache layers. The I/O layer significantly improves off-chip memory bandwidth, and the vector core layer enables to install many vector cores on a die. The vector cache layer increases the capacity of on-chip memory and a high memory bandwidth to achieve the performance improvement and energy reduction by deceasing the number of off-chip memory accesses. The results of performance evaluation using real scientific and engineering applications show the potential of the 3-D stacked CMVP. Moreover, this paper clarifies that introducing the vector cache is more energy-effective than increasing the off-chip memory bandwidth to achieve the same sustained performance on the 3-D stacked CMVP.
机译:现代矢量处理器对基于商品的标量处理器具有显着的优势,用于记忆密集型科学应用。然而,向量处理器仍然保持单核架构,但芯片多处理器(CMP)已成为最近处理器架构中的主流。为了实现矢量处理器上的更有效和强大的计算,本文通过组合芯片多向量处理器架构和粗晶模堆技术来提出三维堆叠的芯片多向量处理器(CMVP)。 3-D堆叠CMVP由I / O层,核心层和矢量缓存层组成。 I / O层显着提高了片状存储带宽,并且矢量核心层可以在模具上安装许多矢量核心。向量高速缓冲层增加片上存储器的容量和高存储器带宽,以通过检测片外存储器访问的数量来实现性能提高和能量降低。使用真实科学和工程应用的绩效评估结果显示了3-D堆叠CMVP的潜力。此外,本文阐明了引入载体高速缓存比提高片外存储器带宽更能能量有效,以在3-D堆叠CMVP上实现相同的持续性能。

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