IEEE Letters of the Computer Society
IEEE Letters of the Computer Society (LOCS) is a rigorously peer-reviewed forum for rapid publication of brief articles describing high-impact results in all areas of interest to the IEEE Computer Society.
Topics include, but are not limited to:
- software engineering and design;
- information technology;
- software for IoT, embedded, and cyberphysical systems;
- cybersecurity and secure computing;
- autonomous systems;
- machine intelligence;
- parallel and distributed software and algorithms;
- programming environments and languages;
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From Issue #1 (Jan-June 2018)
DuoModel: Leveraging Reduced Model for Data Reduction and Re-Computation on HPC Storage
By Huizhang Luo, Qing Liu, Zhenbo Qiao, Jinzhen Wang, Mengxiao Wang, and Hong Jiang
High-performance computing (HPC) applications generate large amounts of floating-point data that need to be stored and analyzed efficiently to extract the insights and advance knowledge discovery. With the growing disparities between compute and I/O, optimizing the storage stack alone may not suffice to cure the I/O problem. There has been a strong push in the HPC communities to perform data reduction before data is transmitted to storage in order to lower the I/O cost. However, as of now, neither lossless nor lossy compressors can achieve the adequate reduction ratio that is desired by applications. This paper proposes DuoModel, a new approach that leverages the similarity between the full and reduced application models, and further improve the data reduction ratio. DouModel further improves the compression ratio of state-ofthe-art compressors via compressing the differences (termed as delta) between the data products of the two models. For data analytics, the high fidelity data can be re-computed by launching the reduced model and applying the compressed delta. Our evaluations confirm that DuoModel can further push the limit of data reduction while the high fidelity of data is maintained.
Editorials and Announcements
Darrell Long, University of California, Santa Cruz
Dirk Duellmann, CERN
Dan Feng, Huazhong University of Science and Technology
Gary Grider - Los Alamos National Laboratory
Kanchi Gopinath - Indian Institute of Science (IISc), Bangalore
James Hughes, University of California, Santa Cruz
Katia Obraczka - University of California, Santa Cruz
Thomas Johannes Emil Schwarz - Marquette University
Marc Shapiro - Sorbonne-Université–LIP6 & Inria
Kwang Mong Sim - Shenzhen University
Yulai Xie, Huazhong University of Science and Technology
Submitting a Paper to LOCS
To submit your paper, please use ScholarOne Manuscripts.
Detailed information on submitting your paper to LOCS can be found on the "Authors" tab of the IEEE Computer Society Journal Peer Review page.
The following templates are provided to assist you with formatting your submission; however, the final layout for LOCS papers will appear in a more condensed format. Full specifications on the IEEE Computer Society style can be found in our Style Guide.
Submitted letters must be four pages or fewer, including all figures, tables, and references. Submissions exceeding this length will be returned without review. Pages in excess of these limits after final layout of the accepted manuscript is complete are subject to Mandatory Overlength Page Charges (MOPC). Papers should use IEEE transactions two-column format in 9-point font.
NEW MOPC POLICY: For new submissions effective 15 May 2018, the fee to publish pages in excess of the regular paper limit of four pages will change from $200/page to $220/page.