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Toward Footprint-Aware Power Shifting for Hybrid Memory Based Systems ( Extended Abstract )
| Content Provider | Semantic Scholar |
|---|---|
| Author | Arima, Eishi |
| Copyright Year | 2018 |
| Abstract | High Performance Computing (HPC) systems are facing severe limitations in both power and memory bandwidth/capacity. Both limitations have been addressed individually: to exploit performance under a strict power constraint, power shifting, which allocates more power budget on the bottleneck component, is a promising approach; for memory bandwidth/capacity, the industry is gradually shifting towards hybrid main memory designs that comprise multiple technologies (e.g., DRAM and Non-Volatile RAM). However, few works look at the combination of both trends. We propose a power management concept called footprintaware power shifting, which explicitly targets hybrid main memory systems. The idea is based on the following observation: in spite of the system software’s efforts to optimize the data allocations on such a system, the effective memory bandwidth decreases considerably when we scale the problem size of applications. As a result, the performance bottleneck changes among components depending on the footprint size, which then also changes the optimal power budget settings. We demonstrate the phenomenon and quantitatively show the impact of our power management approach. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://oaciss.uoregon.edu/icpp18/views/includes/files/pos118s1-file2.pdf |
| Alternate Webpage(s) | http://oaciss.uoregon.edu/icpp18/views/includes/files/pos118s2-file2.pdf |
| Alternate Webpage(s) | http://oaciss.uoregon.edu/icpp18/views/includes/files/pos118s2-file1.pdf |
| Alternate Webpage(s) | http://oaciss.uoregon.edu/icpp18/views/includes/files/pos118s1-file1.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
