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Energy Efficient HPC on Embedded SoCs: Optimization Techniques for Mali GPU
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Data Layout Transformation for Stencil Computations on Short-Vector SIMD Architectures
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Automatic OpenCL Device Characterization: Guiding Optimized Kernel Design
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General purpose computing on low-power embedded GPUs: Has it come of age?
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OpenCL embedded profile prototype in mobile device
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Portable performance on heterogeneous architectures
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Efficient sparse matrix-vector multiplication on x86-based many-core processors
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Supercomputing with commodity CPUs
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Overview of the Blue Gene/L system architecture
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Implementation and Optimization of Image Processing Algorithms on Embedded GPU
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Experiences with Mobile Processors for Energy Efficient HPC
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Image Restoration in Portable Devices: Algorithms and Optimization
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inferred← citeshttps://doi.org/10.1016/j.future.2017.09.029openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/ispass64960.2025.00028openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/isspit.2015.7394356openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/pdgc50313.2020.9315797openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/2968455.2968521openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3126548openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3139315.3157088openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3337821.3337839openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3359789.3359811openalex-snapshot
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inferred← citeshttps://doi.org/10.14569/ijacsa.2018.091029openalex-snapshot
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inferred← citeshttps://doi.org/10.25209/2079-3316-2021-12-1-21-113openalex-snapshot
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inferred← citeshttps://doi.org/10.32920/26883748openalex-snapshot
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inferred← citeshttps://doi.org/10.4018/ijmcmc.2016040102openalex-snapshot
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inferred← citeshttps://doi.org/10.48550/arxiv.1501.03336openalex-snapshot
Reducing overheads of dynamic scheduling on heterogeneous chips
inferred← citeshttps://doi.org/10.48550/arxiv.2005.04094openalex-snapshot
Parallel Programming Models for Heterogeneous Many-Cores : A Survey
inferred← citeshttps://doi.org/10.5821/dissertation-2117-95849openalex-snapshot
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inferred← citeshttps://doi.org/10.7494/cmms.2015.3.0548openalex-snapshot
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