Jan 2, 2023 · A data-based debloating framework, designed to automatically track and package only necessary chunks of data (along with the application) in a container.

Jan 13, 2023 · IOSPReD: I/O Specialized Packaging of Reduced Datasets and Data-Intensive Applications for Efficient Reproducibility. January 2023; IEEE ...

IOSPReD: I/O Specialized Packaging of Reduced Datasets and Data-Intensive Applications for Efficient Reproducibility Available Online ...

IOSPReD: I/O Specialized Packaging of Reduced Datasets and Data-Intensive Applications for Efficient Reproducibility. C. Niddodi, A. Gehani, T. Malik, ...

IOSPReD: I/O Specialized Packaging of Reduced Datasets and Data-Intensive Applications for Efficient Reproducibility. C Niddodi, A Gehani, T Malik, S Mohan, ML ...

... IOSPReD: I/O Specialized Packaging of Reduced Datasets and Data-Intensive Applications for Efficient Reproducibility", IEEE Access, 2023. Abstract Bibtex PDF.

IOSPReD: Automated identification and inclusion of relevant datachunks to generate a containerized package with specialized code and necessary data w.r.t ...

IOSPReD: I/O Specialized Packaging of Reduced Datasets and Data-Intensive Applications for Efficient Reproducibility. IEEE Access 11: 1718-1731 (2023). [i2].

We present a framework named MiDas ("Minimizing Datasets") for specializing I/O libraries which, given an application, automates the process of identifying and ...

TAG “IOSPReD: I/O Specialized Packaging of Reduced Datasets and Data-Intensive Applications for Efficient Reproducibility” by Chaitra Niddodi, Ashish Gehani ...