Programming bsp and multi-bsp algorithms in ml.
Saved in:
| Title: | Programming bsp and multi-bsp algorithms in ml. |
|---|---|
| Authors: | Allombert, Victor1 (AUTHOR) victor.allombert@lacl.fr, Gava, Frédéric2 (AUTHOR) |
| Source: | Journal of Supercomputing. Jul2020, Vol. 76 Issue 7, p5079-5097. 19p. |
| Subjects: | Modern architecture, Level of difficulty, Algorithms, Time management |
| Abstract: | The bsml and multi-ml languages have been designed for programming, à laml, algorithms of the respectively bsp and multi-bsp bridging models. multi-bsp is an extension of the well-know bsp model by taking into account the different levels of networks and memories of modern hierarchical architectures. This is a rather new model, as well as multi-ml is a new language, while bsp and bsml have been used for a long time in many different domains. Intuitively, designing and programming multi-bsp algorithms seems more complex than with bsp, and one can ask whether it is beneficial to rewrite bsp algorithms using the multi-bsp model. In this paper, we thus investigate the pro and cons of the aforementioned models and languages by experimenting with them on different typical applications. For this, we use a methodology to measure the level of difficulty of writing code and we also benchmark them in order to show whether writing multi-ml code is worth the effort. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Supercomputing is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
|
Full text is not displayed to guests.
Login for full access.
|
|
| Abstract: | The bsml and multi-ml languages have been designed for programming, à laml, algorithms of the respectively bsp and multi-bsp bridging models. multi-bsp is an extension of the well-know bsp model by taking into account the different levels of networks and memories of modern hierarchical architectures. This is a rather new model, as well as multi-ml is a new language, while bsp and bsml have been used for a long time in many different domains. Intuitively, designing and programming multi-bsp algorithms seems more complex than with bsp, and one can ask whether it is beneficial to rewrite bsp algorithms using the multi-bsp model. In this paper, we thus investigate the pro and cons of the aforementioned models and languages by experimenting with them on different typical applications. For this, we use a methodology to measure the level of difficulty of writing code and we also benchmark them in order to show whether writing multi-ml code is worth the effort. [ABSTRACT FROM AUTHOR] |
|---|---|
| ISSN: | 09208542 |
| DOI: | 10.1007/s11227-019-02822-9 |