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Low-power amdahl-balanced blades for data intensive computing
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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GrayWulf: Scalable Clustered Architecture for Data Intensive Computing
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Algorithms for efficient processing of complex queries in node-partitioned data warehouses
inferredcites →https://doi.org/10.1109/isca.2008.37openalex-snapshot
Understanding and Designing New Server Architectures for Emerging Warehouse-Computing Environments
inferredcites →https://doi.org/10.1109/mc.2007.436openalex-snapshot
Models and Metrics to Enable Energy-Efficiency Optimizations
inferredcites →https://doi.org/10.1109/n-ssc.2007.4785612openalex-snapshot
Computer Architecture and Amdahl's Law
inferredcites →https://doi.org/10.1145/1394608.1382148openalex-snapshot
Understanding and Designing New Server Architectures for Emerging Warehouse-Computing Environments
inferredcites →https://doi.org/10.1184/r1/6619595openalex-snapshot
FAWNdamentally Power-Efficient Clusters
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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