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Performance, Power, and Thermal Analysis of Low-Power Processors for Scale-Out Systems
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1109/jssc.2006.885064openalex-snapshot
Hotspot-Limited Microprocessors: Direct Temperature and Power Distribution Measurements
inferredcites →https://doi.org/10.1109/mc.2007.443openalex-snapshot
The Case for Energy-Proportional Computing
inferredcites →https://doi.org/10.1109/mm.2010.61openalex-snapshot
Challenges and Opportunities for Extremely Energy-Efficient Processors
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/10.1145/1810479.1810509openalex-snapshot
The Cilkview scalability analyzer
inferredcites →https://doi.org/10.1147/rd.492.0195openalex-snapshot
Overview of the Blue Gene/L system architecture
inferredcites →https://doi.org/10.1184/r1/6604628openalex-snapshot
Data-Intensive Supercomputing: The Case for DISC
inferredcites →https://doi.org/10.2200/s00193ed1v01y200905cac006openalex-snapshot
The Datacenter as a Computer: An Introduction to the Design of Warehouse-Scale Machines
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Evaluating ARM HPC clusters for scientific workloads
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Performance Evaluation of Various RISC Processor Systems: A Case Study on ARM, MIPS and RISC-V
inferred← citeshttps://doi.org/10.1016/j.future.2013.07.013openalex-snapshot
Tibidabo: Making the case for an ARM-based HPC system
inferred← citeshttps://doi.org/10.1016/j.sysarc.2016.04.013openalex-snapshot
Customization methodology for implementation of streaming aggregation in embedded systems
inferred← citeshttps://doi.org/10.1049/iet-cdt.2014.0074openalex-snapshot
Performance/energy trade‐off in scientific computing: the case of ARM big.LITTLE and Intel Sandy Bridge
inferred← citeshttps://doi.org/10.1109/co-hpc.2014.7openalex-snapshot
Design and Analysis of a 32-bit Embedded High-Performance Cluster Optimized for Energy and Performance
inferred← citeshttps://doi.org/10.1109/icacci.2017.8125958openalex-snapshot
Objective, innovation and impact of the energy-efficient dome microdatacenter
inferred← citeshttps://doi.org/10.1109/icicdt.2013.6563337openalex-snapshot
The DOME embedded 64 bit microserver demonstrator
inferred← citeshttps://doi.org/10.1109/icppw.2012.21openalex-snapshot
Evaluating Performance and Energy on ARM-based Clusters for High Performance Computing
inferred← citeshttps://doi.org/10.1109/iecon.2012.6388686openalex-snapshot
A sliding mode controller for two-phase synchronous buck converters
inferred← citeshttps://doi.org/10.1109/ipdps.2014.54openalex-snapshot
Algorithmic Time, Energy, and Power on Candidate HPC Compute Building Blocks
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/ispass.2016.7482072openalex-snapshot
Characterization and bottleneck analysis of a 64-bit ARMv8 platform
inferred← citeshttps://doi.org/10.1109/tmscs.2017.2764087openalex-snapshot
NanoStreams: A Microserver Architecture for Real-Time Analytics on Fast Data Streams
inferred← citeshttps://doi.org/10.1109/wamca.2012.10openalex-snapshot
Time-to-Solution and Energy-to-Solution: A Comparison between ARM and Xeon
inferred← citeshttps://doi.org/10.1145/2834800.2834806openalex-snapshot
Compute bottlenecks on the new 64-bit ARM
inferred← citeshttps://doi.org/10.1145/2834899.2834905openalex-snapshot
Performance and energy efficiency analysis of 64-bit ARM using GAMESS
inferred← citeshttps://doi.org/10.1145/3037697.3037738openalex-snapshot
Breaking the Boundaries in Heterogeneous-ISA Datacenters
inferred← citeshttps://doi.org/10.1145/3093315.3037738openalex-snapshot
Breaking the Boundaries in Heterogeneous-ISA Datacenters
inferred← citeshttps://doi.org/10.1145/3093336.3037738openalex-snapshot
Breaking the Boundaries in Heterogeneous-ISA Datacenters
inferred← citeshttps://doi.org/10.1145/3093337.3037738openalex-snapshot
Breaking the Boundaries in Heterogeneous-ISA Datacenters
inferred← citeshttps://doi.org/10.3390/electronics5040061openalex-snapshot
A Raspberry Pi Cluster Instrumented for Fine-Grained Power Measurement
inferred← citeshttps://doi.org/10.5821/dissertation-2117-113680openalex-snapshot
Enabling the use of embedded and mobile technologies for high-performance computing
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