Evaluation of SIMD Instructions on Bio-Inspired Algorithms
| Autor: | Claudio Schepke, Natiele Lucca |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Collective behavior Optimization problem Computer science Bio inspired algorithms 02 engineering and technology Parallel computing Extensibility 020901 industrial engineering & automation Parallel processing (DSP implementation) 0202 electrical engineering electronic engineering information engineering Parallelism (grammar) 020201 artificial intelligence & image processing SIMD Implementation |
| Zdroj: | ISPDC |
| DOI: | 10.1109/ispdc51135.2020.00017 |
| Popis: | Bio-inspired algorithms are based on the collective behavior of interacting organisms and are used to solve or to approach efficient solutions for large optimization problems. This article evaluates a new parallel library of a family of bio-inspired algorithms. The library offers the implementation of some basic algorithms, being easily extensible through interfaces, and explores the parallelism using SIMD-type instructions. Evaluations of performances are presented using seven test functions applied to each of the implemented algorithms. The tests also allowed to show that parallel implementations offer higher performances in all cases, reaching up to 20 times for some functions. |
| Databáze: | OpenAIRE |
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