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

机译:3-D芯片堆叠芯片多矢量处理器的设计和早期评估

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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:对于存储密集型科学应用,现代矢量处理器比基于商品的标量处理器具有显着优势。然而,尽管芯片多处理器(CMP)已成为近来处理器体系结构的主流,但是矢量处理器仍保持单核体系结构。为了在矢量处理器上实现更高效,更强大的计算,本文提出了一种3D堆叠芯片多矢量处理器(CMVP),它将芯片多矢量处理器体系结构和粗粒晶粒堆叠技术相结合。 3-D堆叠CMVP由I / O层,核心层和向量高速缓存层组成。 I / O层显着改善了片外存储器带宽,而矢量核层则可以在芯片上安装许多矢量核。向量高速缓存层通过减少片外存储器访问次数来增加片上存储器的容量和高存储器带宽,以实现性能提高和能耗降低。使用实际的科学和工程应用进行性能评估的结果显示了3-D堆叠CMVP的潜力。此外,本文阐明,引入向量缓存比增加片外存储器带宽以在3-D堆叠CMVP上实现相同的持续性能要更节能。

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