Browsing by Author "Etinski, Maja"
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BSLD threshold driven parallel job scheduling for energy efficient HPC centers
Etinski, Maja; Corbalán González, Julita; Labarta Mancho, Jesús José; Valero Cortés, Mateo (2009)
Research report
Open AccessRecently, power awareness in high performance computing (HPC) community has increased significantly. While CPU power reduction of HPC applications using Dynamic Voltage Frequency Scaling (DVFS) has been explored thoroughly, ... -
BSLD threshold driven power management policy for HPC centers
Etinski, Maja; Corbalán González, Julita; Labarta Mancho, Jesús José; Valero Cortés, Mateo (Institute of Electrical and Electronics Engineers (IEEE), 2010)
Conference report
Open AccessIn this paper, we propose a power-aware parallel job scheduler assuming DVFS enabled clusters. A CPU frequency assignment algorithm is integrated into the well established EASY backfilling job scheduling policy. Running a ... -
DVFS power management in HPC systems
Etinski, Maja (Universitat Politècnica de Catalunya, 2012-06-01)
Doctoral thesis
Open AccessRecent increase in performance of High Performance Computing (HPC) systems has been followed by even higher increase in power consumption. Power draw of modern supercomputers leads to very high operating costs and ... -
Optimizing job performance under a given power constraint in HPC centers
Etinski, Maja; Corbalán González, Julita; Labarta Mancho, Jesús José; Valero Cortés, Mateo (2010)
Conference report
Open AccessNever-ending striving for performance has resulted in a tremendous increase in power consumption of HPC centers. Power budgeting has become very important from several reasons such as reliability, operating costs and limited ... -
Power-aware load balancing of large scale MPI applications
Etinski, Maja; Corbalán González, Julita; Labarta Mancho, Jesús José; Valero Cortés, Mateo; Veidenbaum, Alex (Institute of Electrical and Electronics Engineers (IEEE), 2009)
Conference report
Open AccessPower consumption is a very important issue for HPC community, both at the level of one application or at the level of whole workload. Load imbalance of a MPI application can be exploited to save CPU energy without penalizing ...