Add to ORKGManually tuning applications to achieve optimal configurations prevails as the default technique. This raises issues, since these configurations depend on many aspects. To solve them, we propose extending runtimes with tools to obtain and predict metrics in order to enhance scheduling policies
This work presents a HPC framework that provides new strategies for resource management and job sche...
Task-based parallel programming models based on compiler directives have proved their effectiveness ...
Real-time applications, hard or soft, are raising the challenge of unpredictability. This is an extr...
Manually tuning applications to achieve optimal configurations prevails as the default technique. Th...
In a task-based model such as OmpSs-2, task creation and scheduling are critical to achieve good per...
The introduction of task constructs in the OpenMP programming model offers a user a new way to speci...
The OmpSs programming model supports task-based parallelism in a similar manner to OpenMP. This whit...
Application performance can degrade significantly due to node-local load imbalances during applicati...
Task-based programming models are emerging as a promising alternative to make the most of multi-/man...
The infrastructure of High Performance Computing (HPC) systems is rapidly increasing in complexity a...
Task-based parallel programming models with explicit data dependencies, such as OmpSs, are gaining p...
In a green IT obsessed world hardware efficiency and usage of computer systems becomes essential. T...
The European Mont-Blanc project aims to build future exascale systems using energy efficient low-pow...
Poster presented in 28th GI/ITG International Conference on Architecture of Computing Systems (ARCS ...
In a context where the interaction between growingly hetero-geneous dynamic hardware and sets of com...
This work presents a HPC framework that provides new strategies for resource management and job sche...
Task-based parallel programming models based on compiler directives have proved their effectiveness ...
Real-time applications, hard or soft, are raising the challenge of unpredictability. This is an extr...
Manually tuning applications to achieve optimal configurations prevails as the default technique. Th...
In a task-based model such as OmpSs-2, task creation and scheduling are critical to achieve good per...
The introduction of task constructs in the OpenMP programming model offers a user a new way to speci...
The OmpSs programming model supports task-based parallelism in a similar manner to OpenMP. This whit...
Application performance can degrade significantly due to node-local load imbalances during applicati...
Task-based programming models are emerging as a promising alternative to make the most of multi-/man...
The infrastructure of High Performance Computing (HPC) systems is rapidly increasing in complexity a...
Task-based parallel programming models with explicit data dependencies, such as OmpSs, are gaining p...
In a green IT obsessed world hardware efficiency and usage of computer systems becomes essential. T...
The European Mont-Blanc project aims to build future exascale systems using energy efficient low-pow...
Poster presented in 28th GI/ITG International Conference on Architecture of Computing Systems (ARCS ...
In a context where the interaction between growingly hetero-geneous dynamic hardware and sets of com...
This work presents a HPC framework that provides new strategies for resource management and job sche...
Task-based parallel programming models based on compiler directives have proved their effectiveness ...
Real-time applications, hard or soft, are raising the challenge of unpredictability. This is an extr...