Support for working with the ALSA sound subsystem in a binary compiler of application level x86→«Elbrus»

Author:

Noskova E. S.1,Rozhin A. F.2

Affiliation:

1. Moscow Institute of Physics and Technology; JSC MCST

2. JSC MCST; Institute of Electronic Control Computers named after I. S. Brook

Abstract

The success of a hardware platform is mainly determined by the software available for it. That is why the problem of enlarging the number of applications launched on the «Elbrus» platform is very acute. One of its possible solutions is the usage of binary compilation technology. The work of many modern applications is somehow related to sound processing. One of the most popular modern libraries for working with sound devices in Linux operating systems is the ALSA library. Its functionality is based on the set of ioctl system call commands. They were not supported in the x86→«Elbrus» binary compiler until recently. Therefore, occurred the issue of implementing support for ALSA-ioctl commands in binary compiler. In order to solve this problem, it was necessary to study the Linux kernel implementation of this technology. The gained knowledge was used to develop proprietary tools for the binary compiler making it possible to use the ALSA in applications translated under the «Elbrus» architecture.

Publisher

CRI Electronics

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference10 articles.

1. Alsa project. Available at: https://alsa-project.org (accessed 23.01.2020).

2. Lin J. M., Cheng W. G., Fang G. M. Software integration for applications with audio stream. 2008 International Conference on Intelligent Information Hiding and Multimedia Signal Processing. IEEE, 2008, pp. 1126–1129.

3. Voronov N. V., Gimpelson V. D., Maslov M. V., Rybakov A. A. Syusyukalov N. S. Dynamic binary translation system x86→«Elbrus». Voprosy radioelektroniki, 2012, vol. 4, no. 3, pp. 89–108. (In Russian).

4. Kanhere A. S. Instruction and logic to perform dynamic binary translation: patent 9417855, USA, 2016.

5. Das A. Support for a non-native application: patent 9766911, USA, 2017.

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