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Case Study of Process Variation-Based Domain Partitioning of GPGPUs

机译:基于过程变异的GPGPU的域划分案例研究

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We can unlock higher performance in general purpose graphics processing unit (GPGPU) chips by adhering to local environment conditions while setting a timing (clock) reference. We propose partitioning the GPU chip into smaller independent domains to enable finer control of the chip voltage frequency (V/F) settings. Post silicon (Si) analysis is used to classify the domains as fast, 'typical', or slow. This information is then provided to the system management unit (SMU) to enable the appropriate settings for power optimization. In this paper, we present an initial analysis of power/performance associated with fine-grain domains in GPUs.
机译:通过遵守本地环境条件,同时设置时间(时钟)参考,我们可以释放通用图形处理单元(GPGPU)芯片中的更高性能。我们建议将GPU芯片划分为较小的独立域,以实现对芯片电压频率(V / F)设置的更好控制。后硅(Si)分析用于将域分类为快速,“典型”或慢速。然后将此信息提供给系统管理单元(SMU),以启用用于功率优化的适当设置。在本文中,我们对与GPU中的细粒度域相关的功耗/性能进行了初步分析。

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