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The International Journal of High Performance Computing Applications is a peer-reviewed journal published by SAGE, covering Parallel Computing and Optimization Techniques, Distributed and Parallel Computing Systems, Advanced Data Storage Technologies.
| Publisher | SAGE |
|---|---|
| Reference style | Author–year (Harvard) Author–year — (Smith, 2023) in the text Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', The International Journal of High Performance Computing Applications, 12(3), pp. 45–58.
Formats any DOI in The International Journal of High Performance Computing Applications style. No sign-up. |
| Publishes research in | Parallel Computing and Optimization Techniques Distributed and Parallel Computing Systems Advanced Data Storage Technologies Cloud Computing and Resource Management Scientific Computing and Data Management |
| ISSN | 1094-3420 |
| Citation impact (2-yr) | 2.24 |
| h-index | 76 |
| i10-index | 499 |
| Total citations | 38,339 |
| Top institutions publishing here | Argonne National Laboratory |
| Journal website | www.sagepub.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
“Grid” computing has emerged as an important new field, distinguished from conventional distributed computing by its focus on large-scale resource sharing, innovative applications, and, in some cases, high performance orientation. In this article, the authors define this new field. First, they review the “Grid problem,” which is defined as flexible, secure, coordinated resource sharing among…
The ability of performance technology to keep pace with the growing complexity of parallel and distributed systems depends on robust performance frameworks that can at once provide system-specific performance capabilities and support high-level performance problem solving. Flexibility and portability in empirical methods and processes are influenced primarily by the strategies available for instrmentation and measurement,…
We describe our work on improving the performance of collective communication operations in MPICH for clusters connected by switched networks. For each collective operation, we use multiple algorithms depending on the message size, with the goal of minimizing latency for short messages and minimizing bandwidth use for long messages. Although we have implemented new algorithms…
In this paper we consider productivity challenges for parallel programmers and explore ways that parallel language design might help improve end-user productivity. We offer a candidate list of desirable qualities for a parallel programming language, and describe how these qualities are addressed in the design of the Chapel language. In doing so, we provide an…
Over the last 20 years, the open-source community has provided more and more software on which the world’s high-performance computing systems depend for performance and productivity. The community has invested millions of dollars and years of effort to build key components. However, although the investments in these separate software elements have been tremendously valuable, a…
