This paper introduces two tools for manual energy evaluation and runtime tuning developed at IT4Innovations in the READEX project. The MERIC library can be used for manual instrumentation and analysis of any application from the energy and time consumption point of view. Besides tracing, MERIC can also change environment and hardware parameters during the application runtime, which leads to energy savings. MERIC stores large amounts of data, which are difficult to read by a human. The RADAR generator analyses the MERIC output files to find the best settings of evaluated parameters for each instrumented region. It generates a Open image in new window report and a MERIC configuration file for application production runs
High Performance Computing (HPC) applications are highly complex and demand ecient execution. Energy...
International audienceThe rising computing demands of scientific endeavours often require the creati...
Annotation With the petering-out of Moore's law and the end of Dennard's scaling, the pace dictated...
Energy efficiency is an important aspect of future exascale systems, mainly due to rising energy cos...
Energy-efficiency is already of paramount importance for High Performance Computing (HPC) systems op...
In both the embedded systems and High Performance Computing domains, energy-efficiency has become on...
Efficiently utilizing the resources provided on current petascale and future exascale systems will b...
Energy efficiency is an important aspect of future exascale systems, mainly due to rising energy cos...
Energy costs nowadays represent a significant share of the total costs of ownership of High Performa...
The European Horizon 2020 project READEX is developing a tool suite for dynamic energy tuning of HPC...
Energy consumption of HPC centers becomes a major limitation in building a new peta or exascale syst...
High Performance Computing (HPC) has become an indispensable tool for the scientific community to pe...
To overcome the challenges of energy consumption of HPC systems, the European Union Horizon 2020 REA...
This paper introduces the READEX project tuning approach which exploits the dynamic application beha...
International audienceHigh‐performance computing (HPC) systems require energy during their full life...
High Performance Computing (HPC) applications are highly complex and demand ecient execution. Energy...
International audienceThe rising computing demands of scientific endeavours often require the creati...
Annotation With the petering-out of Moore's law and the end of Dennard's scaling, the pace dictated...
Energy efficiency is an important aspect of future exascale systems, mainly due to rising energy cos...
Energy-efficiency is already of paramount importance for High Performance Computing (HPC) systems op...
In both the embedded systems and High Performance Computing domains, energy-efficiency has become on...
Efficiently utilizing the resources provided on current petascale and future exascale systems will b...
Energy efficiency is an important aspect of future exascale systems, mainly due to rising energy cos...
Energy costs nowadays represent a significant share of the total costs of ownership of High Performa...
The European Horizon 2020 project READEX is developing a tool suite for dynamic energy tuning of HPC...
Energy consumption of HPC centers becomes a major limitation in building a new peta or exascale syst...
High Performance Computing (HPC) has become an indispensable tool for the scientific community to pe...
To overcome the challenges of energy consumption of HPC systems, the European Union Horizon 2020 REA...
This paper introduces the READEX project tuning approach which exploits the dynamic application beha...
International audienceHigh‐performance computing (HPC) systems require energy during their full life...
High Performance Computing (HPC) applications are highly complex and demand ecient execution. Energy...
International audienceThe rising computing demands of scientific endeavours often require the creati...
Annotation With the petering-out of Moore's law and the end of Dennard's scaling, the pace dictated...