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DASH Locality Hierarchies (PADAL'16)
Single node hardware design is shifting to a heterogeneous nature and many of today’s largest HPC systems are clusters that combine accelerators in heterogeneous compute device architectures. The need for new programming abstractions in the advancements to the Exascale era has been widely recognized and variants of the Partitioned Global Address Space (PGAS) programming model are discussed as a promising approach in this respect DASH is a C++ template library that provides distributed data structures with support for hierarchical locality in a PGAS programming model. Portable efficiency, an essential goal in the design of DASH, can only be achieved with programming abstractions of hardware locality that allow to optimize data structures and algorithms to the underlying system at compile- and run time. Established tools like LIKWID and hwloc provide reliable interfaces to query the hardware topology on node level but fail to construct a global representation of distributed locality domains and do not support accelerator architectures like Intel MIC. We present Locality Hierarchies, an abstraction of distributed, hierarchical locality represented as a modifiable data structure. The underlying model supports heterogeneous systems as first-class use case and introduces a well-defined concept of distance for arbitrary distributed hardware hierarchies. Using common range-based algorithms as motivating examples, we explain how our approach facilitates locality-aware load-balancing and process mapping on SuperMIC compute nodes.
RED NACIONAL ITECNOR
la primera Red Nacional de Inteligencia Tecnológica y Organizacional –ITECNOR, con el objetivo de construir un espacio autosustentable y democrático, basado en el concepto de comunidades de práctica, que permita a los participantes aprender de la experiencia de sus colegas y desarrollar conocimientos en la materia.
Recommended
DASH Locality Hierarchies (PADAL'16)
Single node hardware design is shifting to a heterogeneous nature and many of today’s largest HPC systems are clusters that combine accelerators in heterogeneous compute device architectures. The need for new programming abstractions in the advancements to the Exascale era has been widely recognized and variants of the Partitioned Global Address Space (PGAS) programming model are discussed as a promising approach in this respect DASH is a C++ template library that provides distributed data structures with support for hierarchical locality in a PGAS programming model. Portable efficiency, an essential goal in the design of DASH, can only be achieved with programming abstractions of hardware locality that allow to optimize data structures and algorithms to the underlying system at compile- and run time. Established tools like LIKWID and hwloc provide reliable interfaces to query the hardware topology on node level but fail to construct a global representation of distributed locality domains and do not support accelerator architectures like Intel MIC. We present Locality Hierarchies, an abstraction of distributed, hierarchical locality represented as a modifiable data structure. The underlying model supports heterogeneous systems as first-class use case and introduces a well-defined concept of distance for arbitrary distributed hardware hierarchies. Using common range-based algorithms as motivating examples, we explain how our approach facilitates locality-aware load-balancing and process mapping on SuperMIC compute nodes.
RED NACIONAL ITECNOR
la primera Red Nacional de Inteligencia Tecnológica y Organizacional –ITECNOR, con el objetivo de construir un espacio autosustentable y democrático, basado en el concepto de comunidades de práctica, que permita a los participantes aprender de la experiencia de sus colegas y desarrollar conocimientos en la materia.