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Programming for High-Performance Computing on Edge Accelerators

https://doi.org/10.3390/math11041055
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/cpe.6018openalex-snapshot
Comparing unified, pinned, and host/device memory allocations for memory‐intensive workloads on Tegra SoC
inferredcites →https://doi.org/10.1002/spe.3022openalex-snapshot
Posits and the state of numerical representations in the age of exascale and edge computing
inferredcites →https://doi.org/10.1002/spe.3056openalex-snapshot
NAS Parallel Benchmarks with CUDA and beyond
inferredcites →https://doi.org/10.1007/s11227-017-2091-xopenalex-snapshot
Performance evaluation of unified memory and dynamic parallelism for selected parallel CUDA applications
inferredcites →https://doi.org/10.1016/j.biosystemseng.2018.10.014openalex-snapshot
Smart farming IoT platform based on edge and cloud computing
inferredcites →https://doi.org/10.1016/j.jpdc.2018.10.014openalex-snapshot
High-Performance Computing in Edge Computing Networks
inferredcites →https://doi.org/10.1109/99.660313openalex-snapshot
OpenMP: an industry standard API for shared-memory programming
inferredcites →https://doi.org/10.1109/access.2020.2991734openalex-snapshot
An Overview on Edge Computing Research
inferredcites →https://doi.org/10.1109/access.2020.2995973openalex-snapshot
An Erasure-Coded Storage System for Edge Computing
inferredcites →https://doi.org/10.1109/access.2020.3038714openalex-snapshot
A Taste of Scientific Computing on the GPU-Accelerated Edge Device
inferredcites →https://doi.org/10.1109/ccgrid.2015.105openalex-snapshot
An Evaluation of Unified Memory Technology on NVIDIA GPUs
inferredcites →https://doi.org/10.1109/cgo53902.2022.9741290openalex-snapshot
Efficient Execution of OpenMP on GPUs
inferredcites →https://doi.org/10.1109/etfa.2017.8247615openalex-snapshot
Memory interference characterization between CPU cores and integrated GPUs in mixed-criticality platforms
inferredcites →https://doi.org/10.1109/hpec49654.2021.9622813openalex-snapshot
Performance Study of GPU applications using SYCL and CUDA on Tesla V100 GPU
inferredcites →https://doi.org/10.1109/icdcs47774.2020.00038openalex-snapshot
EdgeProg: Edge-centric Programming for IoT Applications
inferredcites →https://doi.org/10.1109/iiswc.2011.6114174openalex-snapshot
Performance characterization of the NAS Parallel Benchmarks in OpenCL
inferredcites →https://doi.org/10.1109/iiswc47752.2019.9041954openalex-snapshot
SNU-NPB 2019: Parallelizing and Optimizing NPB in OpenCL and CUDA for Modern GPUs
inferredcites →https://doi.org/10.1109/ipdps.2009.5161107openalex-snapshot
Implementing OpenMP on a high performance embedded multicore MPSoC
inferredcites →https://doi.org/10.1109/jiot.2016.2579198openalex-snapshot
Edge Computing: Vision and Challenges
inferredcites →https://doi.org/10.1109/jproc.2019.2915983openalex-snapshot
Edge Computing for Autonomous Driving: Opportunities and Challenges
inferredcites →https://doi.org/10.1109/jproc.2019.2921977openalex-snapshot
Deep Learning With Edge Computing: A Review
inferredcites →https://doi.org/10.1109/jstars.2016.2558492openalex-snapshot
Optimization of Selected Remote Sensing Algorithms for Many-Core Architectures
inferredcites →https://doi.org/10.1109/mcse.2010.69openalex-snapshot
OpenCL: A Parallel Programming Standard for Heterogeneous Computing Systems
inferredcites →https://doi.org/10.1109/mm.2015.4openalex-snapshot
The Movidius Myriad Architecture's Potential for Scientific Computing
inferredcites →https://doi.org/10.1109/smartcloud.2016.18openalex-snapshot
Challenges and Opportunities in Edge Computing
inferredcites →https://doi.org/10.1109/twc.2019.2946140openalex-snapshot
Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing
inferredcites →https://doi.org/10.1145/1365490.1365500openalex-snapshot
Scalable Parallel Programming with CUDA
inferredcites →https://doi.org/10.1145/3444692openalex-snapshot
A Survey on Edge Performance Benchmarking
inferredcites →https://doi.org/10.1145/3447545.3451183openalex-snapshot
10 Years Later: Cloud Computing is Closing the Performance Gap
inferredcites →https://doi.org/10.1145/3456669.3456687openalex-snapshot
Enabling OpenCL and SYCL for RISC-V processors
inferredcites →https://doi.org/10.1145/3458817.3480855openalex-snapshot
In-depth analyses of unified virtual memory system for GPU accelerated computing
inferredcites →https://doi.org/10.1155/2016/4513486openalex-snapshot
An OpenMP Programming Environment on Mobile Devices
inferredcites →https://doi.org/10.1177/109434209100500306openalex-snapshot
The NAS Parallel Benchmarks
inferredcites →https://doi.org/10.3390/s20216335openalex-snapshot
Evaluation of Clustering Algorithms on GPU-Based Edge Computing Platforms
inferredcites →https://doi.org/10.3390/s21175922openalex-snapshot
A Systematic Survey on the Role of Cloud, Fog, and Edge Computing Combination in Smart Agriculture

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-981-97-1017-1_7openalex-snapshot
HPC Based High-Speed Networks, ARM Processor Architecture and Their Configurations
inferred← citeshttps://doi.org/10.1007/s11227-024-05957-6openalex-snapshot
SYCL in the edge: performance and energy evaluation for heterogeneous acceleration
inferred← citeshttps://doi.org/10.1016/j.aiia.2025.02.008openalex-snapshot
A review of the application prospects of cloud-edge-end collaborative technology in freshwater aquaculture
inferred← citeshttps://doi.org/10.1109/icacrs62842.2024.10841688openalex-snapshot
Methodology for the Implementation of Slurm-based HPC Services
inferred← citeshttps://doi.org/10.1109/icscds56580.2023.10104930openalex-snapshot
Large video processing using GPU programming
inferred← citeshttps://doi.org/10.1109/idciot59759.2024.10467310openalex-snapshot
Method for the Configuration of Low-Cost Portable Supercomputer, Applied to Field Work
inferred← citeshttps://doi.org/10.1109/jiot.2024.3369607openalex-snapshot
Optimized CNN Architectures Benchmarking in Hardware-Constrained Edge Devices in IoT Environments
inferred← citeshttps://doi.org/10.1109/jiot.2025.3616166openalex-snapshot
Performance Evaluation of Modern GPU Accelerator-Based Edge Systems: A Holistic Approach
inferred← citeshttps://doi.org/10.1364/oe.531813openalex-snapshot
Photonic floating point multiplication using cascaded SSB-SC modulation
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3439288/v1openalex-snapshot
SYCL in the Edge: Performance Evaluation for Heterogeneous Acceleration
inferred← citeshttps://doi.org/10.3390/computers13100250openalex-snapshot
Effects of OpenCL-Based Parallelization Methods on Explicit Numerical Methods to Solve the Heat Equation
inferred← citeshttps://doi.org/10.3390/electronics14122476openalex-snapshot
A Systematic Review and Classification of HPC-Related Emerging Computing Technologies
inferred← citeshttps://doi.org/10.3390/math13203305openalex-snapshot
Evaluation of GPU-Accelerated Edge Platforms for Stochastic Simulations: Performance and Energy Efficiency Analysis
inferred← citeshttps://doi.org/10.4018/ijswis.330015openalex-snapshot
A Lightweight Real-Time System for Object Detection in Enterprise Information Systems for Frequency-Based Feature Separation
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