A method for speeding up beam-tracing simulation using thread-level parallelization

In recent years, the computational power of modern processors has been increasing mainly because of the increase in the number of processor cores. Computationally intensive applications can gain from this trend only if they employ parallelism, such as thread-level parallelization. Geometric simulations can employ thread-level parallelization because the main part of a geometric simulation can be divided into a subset of mutually independent tasks. This approach is especially interesting for acoustic beam tracing because it is an intensive computing task. This paper presents the parallelization of an existing beam-tracing simulation composed of three algorithms. Two of them are iterative algorithms, and they are parallelized with an already known technique. The most novel method is the parallelization of the third algorithm, the recursive octree generation. To check the performance of the multi-threaded parallelization, several tests are performed using three different computer platforms. On all of the platforms, the multi-threaded octree generation algorithm shows a significant speedup, which is linear when all of the threads are executed on the same processor.     

Scientific potential of European fully open access journals

Scientometrics - The scientific potential of European countries measured by their participation in publication of all peer-review journals as well as open access journals (OAJs) is significant. In...     

Comparative analysis of book citations in social science journals by Central and Eastern European authors

Scientometrics - This study aims to assess the role of authored and edited books in scholarly communication through citation analysis. It focuses on social science journal articles written by...