rel="stylesheet">
Creating and sharing knowledge in communications and information technology

PROJECT / OPAC

PROJECT: Optimization of pattern-matching compression algorithms for GPU’s
ACRONYM: OPAC
MAIN OBJECTIVE: The main goal of the project was to study the usage of parallel hardware platforms and software stacks (CUDA, OpenCL) to speed up the execution of recurrent pattern matching-based compression algorithms. The hardware platforms include off the shelves desktop machines, multi-core CPUs, System on a Chip (SoC) and many-core Graphic Processing Units (GPUs).
Reference: P01270
Funding: IT/LA
 
Start Date: 01-09-2014   |   End Date: 01-12-2017
Team: Nuno Miguel Morais Rodrigues, Patrício Rodrigues Domingues, Sérgio Manuel Maciel de Faria, Gabriel Falcao Paiva Fernandes, Murilo Carvalho
Groups: Multimedia Signal Processing – Lr
Multimedia Signal Processing – Co
Partners: Instituto Politécnico de Leiria, Portugal, Universidade Federal Fluminense, Niterói, Brasil
Local Coordinator: Patrício Rodrigues Domingues
Links: https://sites.google.com/view/it-opac/

This project falls under the following United Nations Strategic Development Goals (SDGs):