Impact of power density limitation in gigascale integration for the SIMD pixel processor

S. Chai, A. Gentile, D. S. Wills
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引用次数: 11

Abstract

Gigascale Integration (GSI) enables a new generation of monolithic focal plane processing systems built with billion-transistor chips. As this technology matures, fundamental technology limitations on wire interconnects and power dissipation will become the performance bottleneck. This paper presents system performance projections for GSI technologies under these constraints. Architectural models and workload characterization are integrated to identify viable future system implementations. The SIMD Pixel processor (SIMPil) is selected as the architecture for evaluation, and an image processing application suite is programmed to characterize the workload. Projections for SIMPil systems show that over three orders of magnitude improvement is achievable by 2012 in both system throughput and image resolution. System power consumption is contained below 50 W for a 52,900 processor system in 50 nm technology. The SIMPil architecture design space is explored, and opportunities for more aggressive designs within power density limits are examined.
功率密度限制对SIMD像素处理器千兆级集成的影响
千兆级集成(GSI)使新一代的单片焦平面处理系统由十亿晶体管芯片组成。随着该技术的成熟,线互连和功耗方面的基本技术限制将成为性能瓶颈。本文提出了在这些约束条件下GSI技术的系统性能预测。将体系结构模型和工作负载特征集成起来,以确定可行的未来系统实现。选择SIMD Pixel处理器(SIMPil)作为评估的体系结构,并编写了图像处理应用程序套件来描述工作负载。对SIMPil系统的预测表明,到2012年,在系统吞吐量和图像分辨率方面可以实现超过三个数量级的改进。采用50nm技术的52,900处理器系统的系统功耗低于50w。探讨了SIMPil架构设计空间,并研究了在功率密度限制内进行更积极设计的机会。
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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