Add to ORKGA MPAHA (Model for Parallel Algorithms on Heterogeneous Architectures) model that allows predicting parallel application performance running over heterogeneous architectures is presented. MPAHA considers the heterogeneity of processors and communications. From the results obtained with the MPAHA model, the AMTHA (Automatic Mapping Task on Heterogeneous Architectures) algorithm for task-to-processors assignment is presented and its implementation is analyzed. DCS_AMTHA, a dynamic scheduling strategy for multiple applications on heterogeneous multiprocessor architectures, is defined and experimental results focusing on global efficiency are presented. Finally, current lines of research related with model extensions for clusters of multicor...
Conference of 31st IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPS...
A new model is presented to describe dataflow algorithms implemented in a multiprocessing system. Ca...
International audienceIn this paper, we present a comparison of scheduling strategies for heterogene...
A MPAHA (Model for Parallel Algorithms on Heterogeneous Architectures) model that allows predicting ...
The AMTHA (Automatic Mapping Task on Heterogeneous Architectures) algorithm for task-to-processors a...
This paper discusses automatic mapping methods for concurrent tasks to processors applying graph ana...
There has been a recent increase of interest in heterogeneous computing systems, due partly to the f...
The TTIGHa model has been developed to model and predict the performance of parallel applications ru...
This paper presents an algorithm for scheduling parallel applications in large-scale, multiuser, het...
To help shrink the programmability-performance efficiency gap, we discuss that adaptive runtime syst...
National audienceEffective scheduling is crucial for task-based applications to achieve high perform...
Heterogeneous parallel architecture (HPA) are inherently more complicated than their homogeneous cou...
International audienceWhile heterogeneous architectures are increasing popular with High Performance...
International audienceIn this article, we revisit the problem of scheduling dynamically generated di...
Abstract—As new heterogeneous systems and hardware ac-celerators appear, high performance computers ...
Conference of 31st IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPS...
A new model is presented to describe dataflow algorithms implemented in a multiprocessing system. Ca...
International audienceIn this paper, we present a comparison of scheduling strategies for heterogene...
A MPAHA (Model for Parallel Algorithms on Heterogeneous Architectures) model that allows predicting ...
The AMTHA (Automatic Mapping Task on Heterogeneous Architectures) algorithm for task-to-processors a...
This paper discusses automatic mapping methods for concurrent tasks to processors applying graph ana...
There has been a recent increase of interest in heterogeneous computing systems, due partly to the f...
The TTIGHa model has been developed to model and predict the performance of parallel applications ru...
This paper presents an algorithm for scheduling parallel applications in large-scale, multiuser, het...
To help shrink the programmability-performance efficiency gap, we discuss that adaptive runtime syst...
National audienceEffective scheduling is crucial for task-based applications to achieve high perform...
Heterogeneous parallel architecture (HPA) are inherently more complicated than their homogeneous cou...
International audienceWhile heterogeneous architectures are increasing popular with High Performance...
International audienceIn this article, we revisit the problem of scheduling dynamically generated di...
Abstract—As new heterogeneous systems and hardware ac-celerators appear, high performance computers ...
Conference of 31st IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPS...
A new model is presented to describe dataflow algorithms implemented in a multiprocessing system. Ca...
International audienceIn this paper, we present a comparison of scheduling strategies for heterogene...