Journal Information

Supercomputing Frontiers and Innovations

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Publisher:
South Ural State University
ISSN:
2409-6008
Viewed:
13211
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Call For Papers

Supercomputing Frontiers and Innovations is an academic journal published by South Ural State University. (ISSN 2409-6008).

The Journal of Supercomputing Frontiers and Innovations (JSFI) is a new peer reviewed publication that addresses the urgent need for greater dissemination of research and development findings and results at the leading edge of high performance computing systems, highly parallel methods, and extreme scaled applications. This open access on-line international journal will facilitate rapid distribution of high quality papers, letters, and reviews representing recent advances and views to drive further progress in the important and rapidly progressing field of supercomputing. JSFI will complement other periodicals by providing a forum specifically targeted to supercomputing accomplishments through research, development, and application across the worldwide arena and at the leading edge of ideas and innovations. A strong editorial board will ensure the highest standards of scholarship and quality while emphasizing short time to publication for greatest impact and accreditation. Focused topical issues will be organized by special editors as the need and opportunity arise. JSFI will be published quarterly, made available online, with limited copies distributed in hard copy for library and archival purposes. Subject areas include, but are not limited to the following fields: Future generation supercomputer architectures Exascale computing Parallel programming models, interfaces, languages, libraries, and tools Supercomputer applications and algorithms High performance machine learning Distributed operating systems and virtualization for highly scalable computing Management, administration, and monitoring of supercomputer systems Mass storage systems, protocols, and allocation Power consumption minimization for supercomputing systems Resilience, reliability, and fault tolerance for future generation highly parallel computing systems Scientific visualization in supercomputing environments Education in high performance computing and computational science
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