{"repo":"uiuc-hpc/Recorder","free":true,"listed":false,"github":"https://github.com/uiuc-hpc/Recorder","clone":"git clone https://github.com/uiuc-hpc/Recorder.git","description":"Comprehensive Parallel I/O Tracing and Analysis","language":"C","stars":52,"topics":["mpi","hdf5","posix","tracing","visualization","hpc-applications","netcdf","pnetcdf"],"license":null,"category":"analytics","readme_excerpt":"Recorder Comprehensive Parallel I/O Tracing and Analysis Recorder is a multi-level I/O tracing framework that can capture I/O function calls at multiple levels of the I/O stack, including HDF5, PnetCDF, NetCDF, MPI-IO, and POSIX I/O. Recorder requires no modification or recompilation of the application and users can control what levels are traced. Quickstart Build: Run: Documentation Recorder documentation is at https://recorder.readthedocs.io/. Citation Wang, Chen, Jinghan Sun, Marc Snir, Kathryn Mohror, and Elsa Gonsiorowski. “Recorder 2.0: Efficient Parallel I/O Tracing and Analysis.” In IEEE International Workshop on High-Performance Storage (HPS), 2020. https://ieeexplore.ieee.org/abstract/document/9150354 Recorder has undergone substantial updates since the publication of the 'Recorder 2.0' paper. These include the integration of a new pattern-based compression algorithm, expanded support for the complete set of HDF5, NetCDF, and PnetCDF calls, as well as numerous additional features. For detailed information, please refer to and cite the latest version here: https://arxiv.org/abs/2501.04654.","default_branch":null,"files":null,"tree":[],"storefront":"/r/uiuc-hpc","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/uiuc-hpc/Recorder/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}