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Multi-Objective optimization entailing computer architecture and thermal design for non-uniformly powered microprocessors

机译:多目标优化需要计算机架构和用于非均匀供电的微处理器的热设计

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Microprocessors continue to grow in capabilities, complexity and performance. Microprocessors typically integrate functional components such as logic and level two (L2) cache memory in their architecture. This functional integration of logic and memory results in improved performance of the microprocessor. However, the integration also introduces a layer of complexity in the thermal design and management of microprocessors. As a direct result of functional integration, the power map on a microprocessor is highly non-uniform and the assumption of a uniform heat flux across the chip surface has been shown to be invalid post Pentium II architecture. The active side of the die is divided into several functional blocks with distinct power assigned to each functional block. A lot of work has been done addressing this issue with a need of thermally aware computer architecture with a concurrent design approach based on thermal and device clock performance. Previous work has been done to minimize the thermal resistance of the package by optimizing the distribution of the non-uniformly powered functional blocks with different power matrices. The study also provided design guidelines to minimize thermal resistance for any number of functional blocks for a given non-uniformly powered microprocessor. This analysis, however, had no constraints placed on the redistribution of functional blocks regarding the maximum separation of any 2(or more) functional blocks to satisfy electrical timing and compute performance requirements. In this study, numerical model is developed that utilizes multi-objective optimization consists of redistribution of functional blocks to both improve device performance and thermal performance. Previously developed design guideline for thermal optimization is used as a base line case. This baseline case is embedded into computer architecture (floor Plan) to develope a compact model satisfying both electrical and thermal performance. Constraints for the electrical optimization are regarding the maximum separation of any 2 (or more) functional blocks. Once positioning of the functional blocks is carried out, thermal optimization of these non-uniformly powered functional blocks is carried out to minimize thermal resistance. This process is repeated until you get both improve device performance and thermal performance for the non-uniformly powered microprocessor. Finally recommendations are provided for an architecture design regarding maximum separation of functional block with minimum thermal resistance.
机译:微处理器继续增长能力,复杂性和性能。微处理器通常将诸如逻辑和级别的功能组分(例如逻辑和级别)的架构中的高速缓冲存储器集成在一起。逻辑和内存的这种功能集成导致微处理器的性能提高。然而,整合还引入了微处理器热设计和管理中的复杂性层。作为功​​能集成的直接结果,微处理器上的功率图是非常不均匀的,并且已经显示了芯片表面上均匀的热通量的假设是无效的奔腾II架构。模具的活动侧被分成几个功能块,其具有分配给每个功能块的不同功率。已经完成了许多工作来解决此问题,需要具有基于热和设备时钟性能的并发设计方法的热意识的计算机架构。已经完成了以前的工作,以通过优化具有不同功率矩阵的非均匀动力功能块的分布来最小化包装的热阻。该研究还提供了设计指南,以使给定的非均匀供电的微处理器的任意数量的功能块的热阻最小化。然而,此分析没有对关于任何2个(或更多)功能块的最大分离以满足电时和计算性能要求的最大分离的功能块的重新分配没有约束。在本研究中,开发了数值模型,该模型利用多目标优化,包括功能块的重新分配,以提高设备性能和热性能。以前开发的热优化设计指南用作基线壳体。将该基线案例嵌入到计算机架构(平面图)中,以开发满足电气和热性能的紧凑型号。电气优化的约束关于任何2个(或更多)功能块的最大分离。一旦进行了功能块的定位,就可以进行这些非均匀动力功能块的热优化以最小化热阻。重复此过程,直到您对非均匀动力微处理器进行改善的设备性能和热性能。最后,提供了关于具有最小热阻的功能块的最大分离的架构设计的建议。

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