2026-04-14T06:21:37Zhttps://recercat.cat/oai/requestoai:recercat.cat:2117/1044102026-01-14T09:25:28Zcom_2072_1033col_2072_452950
RECERCAT
author
Planas, Judit
author
Badia Sala, Rosa Maria
author
Ayguadé Parra, Eduard
author
Labarta Mancho, Jesús José
2015
High-performance computers can reach higher levels of computational power when combined with accelerators. Nevertheless, the more heterogeneity the system presents, the more complex becomes the programming task in terms of resource management and work distribution. We present SSMART, a task-based scheduler to dynamically distribute work among the processing units of a heterogeneous system. Assuming that different specialized versions of tasks (i.e. pieces of specific code targeted and optimized for a particular architecture) are given, SSMART is able to record statistics from previously executed tasks on each system device and dynamically adapt the workload distribution to achieve the optimal performance. SSMART has been implemented on top of OmpSs, a programming model based on compiler directives. The results obtained in a multi-GPU and a MIC+GPU systems prove that our proposal gives flexibility to applications and can potentially increase performance.Peer ReviewedPostprint (published version)
Restricted access - publisher's policy
Àrees temàtiques de la UPC::Informàtica::Programació
Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors
Compilers (Computer programs)
Parallel programming (Computer science)
Heterogeneous task scheduling
Autotuning
GPGPU
MIC
Compiladors (Programes d'ordinador)
Programació en paral·lel (Informàtica)
SSMART: smart scheduling of multi-architecture tasks on heterogeneous systems
Conference report