0382326 20240111140821.420121031235959.9 84906533669 10.3233/978-1-61499-041-3-579 8 s. C cav_un_epca*0382325978-1-61499-040-6579-586AmsterdamIOS Press BV2012 distributed systems collaborative computing resource management heterogeneous systems adaptive systems SVP MicroBlaze FPGA cav_un_auth*0284791 Van Tol M. W. NL cav_un_auth*0101179 Pohl Zdeněk Zpracování signálů Department of Signal Processing ZS ZS UTIA-B Department of Signal Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101213 Tichý Milan Zpracování signálů Department of Signal Processing ZS ZS UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2012/ZS/pohl-0382326.pdf 278 217 027611 EC XE EC cav_un_auth*0225974 As the number and complexity of computing devices in the environment around us increases, it is interesting to see how we could exploit that and glue them together to create larger co-operative distributed systems. This paper describes a framework for dynamically aggregating and configuring processing resources in order to meet local requirements and constraints. The capability of this framework is demonstrated by a case study using an adaptive least mean squares filter (ALMS) application. ALMS improves convergence of least mean squares filters at the cost of more resources, and allows us to demonstrate abilities of the framework such as task offloading and run-time adaptation to available resources. cav_un_auth*0284731 International Conference on Parallel Computing Ghent 30.08.2011-02.09.2011 BE 2013 IN 3 4 A 4a 20231122135250.0 PR RVO:67985556 http://hdl.handle.net/11104/0212577 2012 Soubory v repozitáři: pohl-0382326.pdf 84906533669 SCOPUS 278 217 cav_un_epca*0382325 Advances in Parallel Computing 978-1-61499-040-6 579 586 Amsterdam IOS Press BV 2012