The AIIO Web Service is accessible via : http://aiio.bindong.development.svc.spin.nersc.org/
Please grab a Darshan log from darshan-logs-for-paper and try the AIIO Web Service. (Under the resource constraint now, the web may be very slow)
This repo contains the materials for our paper.
Bin Dong, Jean Luca Bez, and Suren Byna. 2023. AIIO: Using Artificial Intelligence for Job-Level and Automatic I/O Performance Bottleneck Diagnosis. In Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing (HPDC ’23), June 16–23, 2023, Orlando, FL, USA. ACM, New York, NY, USA, 13 pages. https://doi.org/10.1145/3588195.3592986
Disclaimer:
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Our models are trained with Darshan logs from Cori Supercomputer of NERSC.
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To use your own Darshan, you must run your application with Lustre file system because our models are trained with Luster counters.
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Follow the Darshan documentation to get Darshan logs. https://www.mcs.anl.gov/research/projects/darshan/
Please contain Bin Dong, [email protected] for the questions.
The code has source code under a modified BSD license. The license is a BSD license with an ADDED paragraph at the end that makes it accept improvements without a hassle. See below for detailed information
*** Copyright Notice ***
AIIO Copyright (c) 2023, The Regents of the University of California, through Lawrence Berkeley National Laboratory (subject to receipt of any required approvals from the U.S. Dept. of Energy) and Ohio State University. All rights reserved.
If you have questions about your rights to use or distribute this software, please contact Berkeley Lab's Intellectual Property Office at [email protected].
NOTICE. This Software was developed under funding from the U.S. Department of Energy and the U.S. Government consequently retains certain rights. As such, the U.S. Government has been granted for itself and others acting on its behalf a paid-up, nonexclusive, irrevocable, worldwide license in the Software to reproduce, distribute copies to the public, prepare derivative works, and perform publicly and display publicly, and to permit others to do so.
*** License Agreement ***
AIIO Copyright (c) 2023, The Regents of the University of California, through Lawrence Berkeley National Laboratory (subject to receipt of any required approvals from the U.S. Dept. of Energy) and Ohio State University. All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
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