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A distributed graph approach for pre-processing linked RDF data using supercomputers.

, , , , and . SBD@SIGMOD, page 6:1-6:6. ACM, (2017)

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A Benchmarking Study to Evaluate Apache Spark on Large-Scale Supercomputers., , , , and . CoRR, (2019)Low-power object counting with hierarchical neural networks., , , , , , and . ISLPED, page 163-168. ACM, (2020)A Model-Driven Approach to Job/Task Composition in Cluster Computing., , , and . IPDPS, page 1-8. IEEE, (2007)Scalable Approaches for Supporting MPI-IO Atomicity., , , and . CCGRID, page 35-42. IEEE Computer Society, (2006)A framework architecture for student learning in distributed embedded systems., , and . SIES, page 148-151. IEEE, (2015)Scalable Implementations of MPI Atomicity for Concurrent Overlapping I/O., , , , , , and . ICPP, page 239-. IEEE Computer Society, (2003)An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry., , , , , , , and . ICSE, page 2463-2475. IEEE, (2023)Low-Power Computer Vision: Status, Challenges, Opportunities., , , , , , , , , and 34 other author(s). CoRR, (2019)PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software., , , , , , , , and . MSR, page 431-443. ACM, (2024)Containerization on a self-supervised active foveated approach to computer vision., , and . Rev. Colomb. de Computación, 25 (1): 29-38 (2024)