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SMiTe: Precise QoS Prediction on Real-System SMT Processors to Improve Utilization in Warehouse Scale Computers
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-642-23400-2_9openalex-snapshot
Reducing Energy Usage with Memory and Computation-Aware Dynamic Frequency Scaling
inferredcites →https://doi.org/10.1007/s11134-009-9133-xopenalex-snapshot
On the inapproximability of M/G/K: why two moments of job size distribution are not enough
inferredcites →https://doi.org/10.1017/cbo9781139226424openalex-snapshot
Performance Modeling and Design of Computer Systems
inferredcites →https://doi.org/10.1109/iiswc.2013.6704667openalex-snapshot
iBench: Quantifying interference for datacenter applications
inferredcites →https://doi.org/10.1109/ipdps.2006.1639374openalex-snapshot
Exploiting unbalanced thread scheduling for energy and performance on a CMP of SMT processors
inferredcites →https://doi.org/10.1109/isca.1995.524578openalex-snapshot
Simultaneous multithreading: Maximizing on-chip parallelism
inferredcites →https://doi.org/10.1109/mc.2007.443openalex-snapshot
The Case for Energy-Proportional Computing
inferredcites →https://doi.org/10.1109/micro.2012.27openalex-snapshot
Systematic Energy Characterization of CMP/SMT Processor Systems via Automated Micro-Benchmarks
inferredcites →https://doi.org/10.1109/micro.2014.21openalex-snapshot
Protean Code: Achieving Near-Free Online Code Transformations for Warehouse Scale Computers
inferredcites →https://doi.org/10.1109/mm.2004.37openalex-snapshot
QoS for high-performance SMT processors in embedded systems
inferredcites →https://doi.org/10.1109/pact.2013.6618803openalex-snapshot
L1-bandwidth aware thread allocation in multicore SMT processors
inferredcites →https://doi.org/10.1109/sc.2005.33openalex-snapshot
How well can simple metrics represent the performance of HPC applications?
inferredcites →https://doi.org/10.1109/tc.2006.108openalex-snapshot
Predictable performance in SMT processors: synergy between the OS and SMTs
inferredcites →https://doi.org/10.1145/1186736.1186737openalex-snapshot
SPEC CPU2006 benchmark descriptions
inferredcites →https://doi.org/10.1145/1735970.1736033openalex-snapshot
Probabilistic job symbiosis modeling for SMT processor scheduling
inferredcites →https://doi.org/10.1145/1736020.1736033openalex-snapshot
Probabilistic job symbiosis modeling for SMT processor scheduling
inferredcites →https://doi.org/10.1145/356989.357011openalex-snapshot
Symbiotic jobscheduling for a simultaneous mutlithreading processor
inferredcites →https://doi.org/10.1145/378993.379244openalex-snapshot
Symbiotic jobscheduling for a simultaneous multithreaded processor
inferredcites →https://doi.org/10.1147/jrd.2011.2127330openalex-snapshot
IBM POWER7 multicore server processor
inferredcites →https://doi.org/10.2200/s00193ed1v01y200905cac006openalex-snapshot
The Datacenter as a Computer: An Introduction to the Design of Warehouse-Scale Machines
inferredcites →https://doi.org/10.2200/s00516ed2v01y201306cac024openalex-snapshot
The Datacenter as a Computer: An Introduction to the Design of Warehouse-Scale Machines, Second edition
inferredcites →https://doi.org/10.5555/2523721.2523746openalex-snapshot
SMT-centric power-aware thread placement in chip multiprocessors
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inferred← citeshttps://doi.org/10.1109/iccd.2017.97openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/iccd53106.2021.00056openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/micro.2014.21openalex-snapshot
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Retracted on May 10, 2023 : TPShare: a time-space sharing scheduling abstraction for shared cloud via vertical labels
inferred← citeshttps://doi.org/10.1145/3375714openalex-snapshot
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inferred← citeshttps://doi.org/10.48550/arxiv.1603.03404openalex-snapshot
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inferred← citeshttps://doi.org/10.5258/soton/404445openalex-snapshot
Dataset supporting the article entitled "The Slowdown or Race-to-idle Question: Workload-Aware Energy Optimization of SMT Multicore Platforms under Process Variation"
inferred← citeshttps://doi.org/10.5555/3026877.3026935openalex-snapshot
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inferred← citeshttps://doi.org/10.5555/3195638.3195666openalex-snapshot
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inferred← citeshttps://doi.org/10.7302/1405openalex-snapshot
Datacenter Architectures for the Microservices Era
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