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An ISO-Energy-Efficient Approach to Scalable System Power-Performance Optimization
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-45591-4_162openalex-snapshot
Fast Measurement of LogP Parameters for Message Passing Platforms
inferredcites →https://doi.org/10.1007/s10586-007-0012-0openalex-snapshot
Performance analysis of MPI collective operations
inferredcites →https://doi.org/10.1109/grid.2010.5697964openalex-snapshot
Multifaceted resource management for dealing with heterogeneous workloads in virtualized data centers
inferredcites →https://doi.org/10.1109/hpca.2002.995705openalex-snapshot
Using complete machine simulation for software power estimation: the SoftWatt approach
inferredcites →https://doi.org/10.1109/hpca.2006.1598114openalex-snapshot
Dynamic Power-Performance Adaptation of Parallel Computation on Chip Multiprocessors
inferredcites →https://doi.org/10.1109/icpp.2007.29openalex-snapshot
CPU MISER: A Performance-Directed, Run-Time System for Power-Aware Clusters
inferredcites →https://doi.org/10.1109/ipdps.2005.214openalex-snapshot
Exploring the Energy-Time Tradeoff in MPI Programs on a Power-Scalable Cluster
inferredcites →https://doi.org/10.1109/ipdps.2005.251openalex-snapshot
Improvement of Power-Performance Efficiency for High-End Computing
inferredcites →https://doi.org/10.1109/ipdps.2008.4536217openalex-snapshot
Towards energy efficient scaling of scientific codes
inferredcites →https://doi.org/10.1109/ipdps.2011.22openalex-snapshot
Iso-Energy-Efficiency: An Approach to Power-Constrained Parallel Computation
inferredcites →https://doi.org/10.1109/isca.2000.854380openalex-snapshot
Wattch: a framework for architectural-level power analysis and optimizations
inferredcites →https://doi.org/10.1109/mc.2007.445openalex-snapshot
The Green500 List: Encouraging Sustainable Supercomputing
inferredcites →https://doi.org/10.1109/sc.2005.57openalex-snapshot
Performance-constrained Distributed DVS Scheduling for Scientific Applications on Power-aware Clusters
inferredcites →https://doi.org/10.1109/sc.2010.15openalex-snapshot
CPM in CMPs: Coordinated Power Management in Chip-Multiprocessors
inferredcites →https://doi.org/10.1109/scs.2003.1227076openalex-snapshot
Characterizing and improving energy-delay tradeoffs in heterogeneous communication systems
inferredcites →https://doi.org/10.1109/tpds.2009.76openalex-snapshot
PowerPack: Energy Profiling and Analysis of High-Performance Systems and Applications
inferredcites →https://doi.org/10.1145/1065944.1065967openalex-snapshot
Using multiple energy gears in MPI programs on a power-scalable cluster
inferredcites →https://doi.org/10.1145/1454115.1454151openalex-snapshot
Prediction models for multi-dimensional power-performance optimization on many cores
inferredcites →https://doi.org/10.1145/1465482.1465560openalex-snapshot
Validity of the single processor approach to achieving large scale computing capabilities
inferredcites →https://doi.org/10.1145/1815961.1815998openalex-snapshot
An integrated GPU power and performance model
inferredcites →https://doi.org/10.1145/268806.268810openalex-snapshot
The SimpleScalar tool set, version 2.0
inferredcites →https://doi.org/10.1145/337292.337436openalex-snapshot
The design and use of simplepower
inferredcites →https://doi.org/10.1145/3749740.3749753openalex-snapshot
A Bridging Model for Parallel Computation
inferredcites →https://doi.org/10.1177/1094342006064482openalex-snapshot
The Tau Parallel Performance System
inferredcites →https://doi.org/10.1177/1094342009106193openalex-snapshot
Energy Profiling and Analysis of the HPC Challenge Benchmarks
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-319-19848-4_7openalex-snapshot
Energy Consumption Analysis of HPC Applications Using NoSQL Database Feature of EnergyAnalyzer
inferred← citeshttps://doi.org/10.1016/j.jnca.2012.08.003openalex-snapshot
Energy-aware performance analysis methodologies for HPC architectures—An exploratory study
inferred← citeshttps://doi.org/10.1016/j.jpdc.2017.11.005openalex-snapshot
Aspen-based performance and energy modeling frameworks
inferred← citeshttps://doi.org/10.1016/j.parco.2014.09.001openalex-snapshot
A survey of power and energy efficient techniques for high performance numerical linear algebra operations
inferred← citeshttps://doi.org/10.1109/ipdps.2013.73openalex-snapshot
A Simplified and Accurate Model of Power-Performance Efficiency on Emergent GPU Architectures
inferred← citeshttps://doi.org/10.1109/ipdpsw.2015.122openalex-snapshot
Iso-Power-Efficiency: An Approach to Scaling Application Codes with a Power Budget
inferred← citeshttps://doi.org/10.1109/ipdpsw.2016.206openalex-snapshot
Analyzing the Energy Efficiency of the Fast Multipole Method Using a DVFS-Aware Energy Model
inferred← citeshttps://doi.org/10.1109/ipdpsw.2016.84openalex-snapshot
Combining Power and Performance Modeling for Application Analysis: A Case Study Using Aspen
inferred← citeshttps://doi.org/10.1109/sbac-pad.2016.19openalex-snapshot
A Study of Power-Performance Modeling Using a Domain-Specific Language
inferred← citeshttps://doi.org/10.1145/2536430.2536435openalex-snapshot
Unified performance and power modeling of scientific workloads
inferred← citeshttps://doi.org/10.1155/2015/157305openalex-snapshot
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