Funded Projects › FP7
AutoTune · Automatic Online Tuning
Performance analysis and tuning is an important step in programming multicore-based parallel architectures. While performance analysis tools exist that help the developer in analyzing the application performance, these tools do not give any recommendations how to tune the code. AutoTune will extend Periscope, an automatic online and distributed performance analysis tool developed by Technische Universität München, with automatic online tuning plugins for performance and energy efficiency tuning. The resulting Periscope Tuning Framework will be able to tune serial and parallel codes with/without GPU kernels and will return tuning recommendations that can be integrated into the production version of the code. The whole tuning process, consisting of automatic performance analysis and automatic tuning, will be executed online, i.e., during a single run of the application.The research results of AutoTune will be integrated into a commercial development environment of a European SME and validated with real-world codes. Results will be widely disseminated through high-quality publications, workshops and conferences, and the large user-base of a computing center and will influence teaching activities of the academic partners.The consortium unites European experts and comprises world-class universities, a major European supercomputing center, an innovative SME, as well as a major IT company, and has the required expertise to accomplish the aims of AutoTune.
Consortium · 6 organisations
TECHNISCHE UNIVERSITAET MUENCHEN
DE · €708,863
UNIVERSITY OF GALWAY
IE · €346,840
CAPS entreprise
FR · €329,127
UNIVERSITAT WIEN
AT · €385,150
BAYERISCHE AKADEMIE DER WISSENSCHAFTEN
DE · €341,400
UNIVERSITAT AUTONOMA DE BARCELONA
ES · €237,600
← Find collaborators and more funded projects
Source: CORDIS, Publications Office of the European Union. Global Research Partnerships surfaces open EU research data to help you find collaborators; we are not affiliated with the European Union.