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KnightShift: Scaling the Energy Proportionality Wall through Server-Level Heterogeneity
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Achieving Power-Efficiency in Clusters without Distributed File System Complexity
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Best of both latency and throughput
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Mitigating Amdahls Law through EPI Throttling
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Ensemble-level Power Management for Dense Blade Servers
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Towards energy-proportional datacenter memory with mobile DRAM
inferredcites →https://doi.org/10.1109/mc.2007.443openalex-snapshot
The Case for Energy-Proportional Computing
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Trends in Server Energy Proportionality
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Dynamic frequency and voltage control for a multiple clock domain microarchitecture
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Single-ISA heterogeneous multi-core architectures: the potential for processor power reduction
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Mitigating Amdahl's Law through EPI Throttling
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Ensemble-level Power Management for Dense Blade Servers
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Power provisioning for a warehouse-sized computer
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An energy case for hybrid datacenters
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Web search using mobile cores
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Power management of online data-intensive services
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Towards energy-proportional datacenter memory with mobile DRAM
inferredcites →https://doi.org/10.1145/502034.502045openalex-snapshot
Managing energy and server resources in hosting centers
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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