Journal Information

International Journal of High Performance Computing Applications (IJHPCA)

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Publisher:
SAGE
ISSN:
1094-3420
Viewed:
15408
Tracked:
2

Call For Papers

International Journal of High Performance Computing Applications (IJHPCA) is an academic journal published by SAGE. (ISSN 1094-3420).

The International Journal of High Performance Computing Applications provides a lively forum for the communications of original peer-reviewed research papers and timely review articles on the use of supercomputers to solve complex modeling problems in a spectrum of disciplines. The goal of the journal is to capture the state of the art in simulation and modeling of complex phenomena across a spectrum of disciplines and the technologies that support those activities through original research papers and timely review articles. The journal emphasizes experiences with the use of large-scale, high performance computers and software techniques that apply to classes of problems, often across disciplines. Articles should focus such experiences and techniques, as well as methods for analyzing and applying algorithms and solution schemes related to particular application areas. Articles that document the complexity of maximizing performance for real world applications are of particular interest. The scope of the journal is reflected by the specialties of the board of contributing editors. Illustrative applications include: Aerodynamics and aerospace engineering; Astrophysics and geophysics; Atmospheric research and meteorological forecasting; Automotive design and production; Climate modeling; Computer graphics and imaging; Molecular biology and molecular dynamics; Nuclear physics; Petroleum reservoir engineering and hydrology; Pharmaceutical structural analysis and computer-aided design; Physical oceanography; Plasma physics; Quantum chemistry and first principles molecular dynamics; Solid state physics, and structural dynamics. General-purpose computational technologies of interest include: the interaction of architecture with algorithms; performance modeling; parallel programming models and languages; parallel tools and their application to large-scale simulation; scaling analyses; and scientific software engineering.
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