In this document, we describe an interface called MAI. This interface allows developers to manage memory affinity in NUMA architectures. The affinity unit in MAI is an array of the parallel application. A set of memory policies implemented in MAI can be applied to these arrays in a simple way. High-level functions implemented in MAI minimize developers work when managing memory affinity in NUMA machines. MAI's performance has been evaluating on two different NUMA machines using some parallel applications. Results obtained with MAI present important gains when compared with the standard memory affinity solutions
In geophysics, the appropriate subdivision of a region into segments is extremely important. ICTM (I...
Nonuniform memory access time (referred to as NUMA) is an important feature in the design of large s...
International audienceNon Uniform Memory Access (NUMA) architectures are nowadays common for running...
In this document, we introduce Minas, a memory affinity management framework for cache-coherent NUMA...
Abstract—Currently, parallel platforms based on large scale hierarchical shared memory multiprocesso...
International audienceNowadays, on Multi-core Multiprocessors with Hierarchical Memory (Non-Uniform ...
International audienceOn numerical scientific High Performance Computing (HPC), Non-Uniform Memory A...
Multi-core platforms with non-uniform memory access (NUMA) design are now a common resource in High ...
Multi-core nodes with Non-Uniform Memory Access (NUMA) are now a common architecture for high perfor...
Multiprocessor memory reference traces provide a wealth of information on the behavior of parallel p...
Les plates-formes multi-coeurs avec un accès mémoire non uniforme (NUMA) sont devenu des ressources ...
The latency of memory access times is hence non-uniform, because it depends on where the request ori...
In geophysics, the appropriate subdivision of a region into segments is extremely important. ICTM (I...
Nonuniform memory access time (referred to as NUMA) is an important feature in the design of large s...
International audienceNon Uniform Memory Access (NUMA) architectures are nowadays common for running...
In this document, we introduce Minas, a memory affinity management framework for cache-coherent NUMA...
Abstract—Currently, parallel platforms based on large scale hierarchical shared memory multiprocesso...
International audienceNowadays, on Multi-core Multiprocessors with Hierarchical Memory (Non-Uniform ...
International audienceOn numerical scientific High Performance Computing (HPC), Non-Uniform Memory A...
Multi-core platforms with non-uniform memory access (NUMA) design are now a common resource in High ...
Multi-core nodes with Non-Uniform Memory Access (NUMA) are now a common architecture for high perfor...
Multiprocessor memory reference traces provide a wealth of information on the behavior of parallel p...
Les plates-formes multi-coeurs avec un accès mémoire non uniforme (NUMA) sont devenu des ressources ...
The latency of memory access times is hence non-uniform, because it depends on where the request ori...
In geophysics, the appropriate subdivision of a region into segments is extremely important. ICTM (I...
Nonuniform memory access time (referred to as NUMA) is an important feature in the design of large s...
International audienceNon Uniform Memory Access (NUMA) architectures are nowadays common for running...