On the public citation graph

Experiences with Mobile Processors for Energy Efficient HPC

https://doi.org/10.7873/date.2013.103

0 signed · 41 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/cpe.3602openalex-snapshot

Evaluating ARM HPC clusters for scientific workloads

inferred← citeshttps://doi.org/10.1007/978-3-319-09873-9_11openalex-snapshot

Characterizing the Performance-Energy Tradeoff of Small ARM Cores in HPC Computation

inferred← citeshttps://doi.org/10.1007/978-3-319-14313-2_19openalex-snapshot

Evaluating Execution Time Predictability of Task-Based Programs on Multi-Core Processors

inferred← citeshttps://doi.org/10.1007/978-3-319-27137-8_3openalex-snapshot

Stencil Computations on HPC-oriented ARMv8 64-Bit Multi-Core Processor

inferred← citeshttps://doi.org/10.1007/978-3-319-31295-8_7openalex-snapshot

Virtualization Guided Tsunami and Storm Surge Simulations for Low Power Architectures

inferred← citeshttps://doi.org/10.1007/978-3-319-46535-7_2openalex-snapshot

Memory Analysis and Performance Modeling for HPC Applications on Embedded Hardware via Instruction Accurate Simulation

inferred← citeshttps://doi.org/10.1007/978-3-319-58943-5_59openalex-snapshot

The ICARUS White Paper: A Scalable, Energy-Efficient, Solar-Powered HPC Center Based on Low Power GPUs

inferred← citeshttps://doi.org/10.1007/s00450-016-0324-5openalex-snapshot

Energy efficiency of the simulation of three-dimensional coastal ocean circulation on modern commodity and mobile processors

inferred← citeshttps://doi.org/10.1007/s11227-019-02819-4openalex-snapshot

Design trade-offs for emerging HPC processors based on mobile market technology

inferred← citeshttps://doi.org/10.1016/j.asej.2015.08.010openalex-snapshot

Dynamic power management techniques in multi-core architectures: A survey study

inferred← citeshttps://doi.org/10.1016/j.future.2017.09.029openalex-snapshot

Efficient CFD code implementation for the ARM-based Mont-Blanc architecture

inferred← citeshttps://doi.org/10.1016/j.micpro.2017.06.019openalex-snapshot

Efficiency modeling and exploration of 64-bit ARM compute nodes for exascale

inferred← citeshttps://doi.org/10.1021/acs.jpca.0c02249openalex-snapshot

Novel Computer Architectures and Quantum Chemistry

inferred← citeshttps://doi.org/10.1057/s41273-016-0036-7openalex-snapshot

Energy consumption of synchronization algorithms in distributed simulations

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/ds-rt.2015.32openalex-snapshot

An Empirical Study of Energy Consumption in Distributed Simulations

inferred← citeshttps://doi.org/10.1109/dsd.2016.74openalex-snapshot

Efficiency Modeling and Analysis of 64-bit ARM Clusters for HPC

inferred← citeshttps://doi.org/10.1109/dsd.2017.17openalex-snapshot

Low-Cost Sub-5W Processors for Edge HPC

inferred← citeshttps://doi.org/10.1109/escience.2019.00052openalex-snapshot

Towards Exascale: Measuring the Energy Footprint of Astrophysics HPC Simulations

inferred← citeshttps://doi.org/10.1109/etfa.2017.8247615openalex-snapshot

Memory interference characterization between CPU cores and integrated GPUs in mixed-criticality platforms

inferred← citeshttps://doi.org/10.1109/ipdps.2014.24openalex-snapshot

Energy Efficient HPC on Embedded SoCs: Optimization Techniques for Mali GPU

inferred← citeshttps://doi.org/10.1109/ipdpsw.2015.13openalex-snapshot

OpenMP-MCA: Leveraging Multiprocessor Embedded Systems Using Industry Standards

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/iscas.2015.7168898openalex-snapshot

On the influence of static power consumption in multicore embedded systems

inferred← citeshttps://doi.org/10.1109/lascas45839.2020.9069048openalex-snapshot

Predictive Power Consumption Model for Compute Intensive Applications in Clustered ARM A53 Embedded Systems

inferred← citeshttps://doi.org/10.1109/sc.2016.37openalex-snapshot

The Mont-Blanc Prototype: An Alternative Approach for HPC Systems

inferred← citeshttps://doi.org/10.1109/tcad.2021.3082863openalex-snapshot

A Taxonomy of Modern GPGPU Programming Methods: On the Benefits of a Unified Specification

inferred← citeshttps://doi.org/10.1145/2503210.2503281openalex-snapshot

Supercomputing with commodity CPUs

inferred← citeshttps://doi.org/10.1145/2566618openalex-snapshot

Energy-Efficient Thread Assignment Optimization for Heterogeneous Multicore Systems

inferred← citeshttps://doi.org/10.1145/2901378.2901395openalex-snapshot

Profiling Energy Consumption in Distributed Simulations

inferred← citeshttps://doi.org/10.1145/2970276.2970346openalex-snapshot

Automatic microbenchmark generation to prevent dead code elimination and constant folding

inferred← citeshttps://doi.org/10.1145/3139258.3139270openalex-snapshot

SiGAMMA

inferred← citeshttps://doi.org/10.1145/3388322openalex-snapshot

Effectiveness of Neural Networks for Power Modeling for Cloud and HPC

inferred← citeshttps://doi.org/10.31274/td-20240329-356openalex-snapshot

GAMESS, GPUs, JuliaChem, and Julia: a double date in high-performance quantum chemistry

inferred← citeshttps://doi.org/10.3390/electronics5040061openalex-snapshot

A Raspberry Pi Cluster Instrumented for Fine-Grained Power Measurement

inferred← citeshttps://doi.org/10.4018/978-1-5225-0889-2.ch002openalex-snapshot

Mobile Platform Challenges in Interactive Computer Vision

inferred← citeshttps://doi.org/10.5821/dissertation-2117-113680openalex-snapshot

Enabling the use of embedded and mobile technologies for high-performance computing

inferred← citeshttps://doi.org/10.5821/dissertation-2117-113685openalex-snapshot

Simulation methodologies for future large-scale parallel systems

inferred← citeshttps://doi.org/10.5821/dissertation-2117-95244openalex-snapshot

Raising the level of abstraction : simulation of large chip multiprocessors running multithreaded applications

inferred← citeshttps://doi.org/10.5821/dissertation-2117-95849openalex-snapshot

Heterogeneous parallel algorithms for computational fluid dynamics on unstructured meshes

inferred← citeshttps://doi.org/10.70675/3fd5a8d3zdfa3z44dcz91b7z8cd2aa543eeeopenalex-snapshot

Contributions on approximate computing techniques and how to measure them

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.