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A simulation-based study for DRAM power reduction strategies in GPGPUs

机译:基于仿真的GPGPU中DRAM功耗降低策略的研究

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General Purpose Graphics Processing Units (GPGPUs) operate many threads concurrently, however they demand large DRAM access because of small internal memory size assigned to each thread. As a result, the power consumption in DRAM components becomes increasingly significant. We have examined a few techniques that can reduce DRAM power consumption in GPGPUs. A GPGPU simulator supporting L2 cache is used for this study. The effects of changing the memory channel organization, DRAM clock frequency, row buffer management policy, open or closed, and the L2 cache memory system are studied. Not only the total DRAM energy consumption but also that due to each DRAM operation, such as active-precharge, burst, and background, are estimated. The examined DRAM power reduction techniques bring negligible execution time changes for solving compute-bound problems, but they result in 12–27% savings of DRAM power consumption.
机译:通用图形处理单元(GPGPU)可以同时运行多个线程,但是由于分配给每个线程的内部存储器较小,因此它们需要较大的DRAM访问权限。结果,DRAM组件中的功耗变得越来越重要。我们已经研究了一些可以减少GPGPU中DRAM功耗的技术。本研究使用支持L2缓存的GPGPU模拟器。研究了更改存储通道组织,DRAM时钟频率,行缓冲区管理策略,打开或关闭以及L2高速缓存存储系统的影响。不仅估算了DRAM的总能耗,而且还估算了由于每个DRAM操作而产生的能耗,例如主动预充电,突发和背景。经过检查的DRAM功耗降低技术在解决计算边界问题方面对执行时间的影响可忽略不计,但它们可节省DRAM功耗12%至27%。

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