DAGuE: A generic distributed DAG engine for High Performance Computing

— The frenetic development of the current architectures places a strain on the current state-of-the-art programming environments. Harnessing the full potential of such architectures has been a tremendous task for the whole scientific computing community. We present DAGuE a generic framework for architecture aware scheduling and management of micro-tasks on distributed many-core heterogeneous architectures. Applications we consider can be represented as a Direct Acyclic Graph of tasks with labeled edges designating data dependencies. DAGs are represented in a compact, problem-size independent format that can be queried on-demand to discover data dependencies, in a totally distributed fashion. DAGuE assigns computation threads to the cores, overlaps communications and computations and uses a dynamic, fully-distributed scheduler based on cache awareness, data-locality and task priority. We demonstrate the efficiency of our approach, using several micro-benchmarks to analyze the perfor...

• Type: Journal
• Year: 2012
• Where: PC
• Authors: George Bosilca, Aurelien Bouteiller, Anthony Danalis, Thomas Hérault, Pierre Lemarinier, Jack Dongarra
• Keywords: Algebra Factorization, Heterogeneous Architectures, Management, Micro Benchmarks, PC 2012