Impact of NUMA Effects on High-Speed Networking with Multi-Opteron Machines
MOREAUD, Stéphanie
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Efficient runtime systems for parallel architectures [RUNTIME]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Efficient runtime systems for parallel architectures [RUNTIME]
GOGLIN, Brice
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Efficient runtime systems for parallel architectures [RUNTIME]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Efficient runtime systems for parallel architectures [RUNTIME]
MOREAUD, Stéphanie
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Efficient runtime systems for parallel architectures [RUNTIME]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Efficient runtime systems for parallel architectures [RUNTIME]
GOGLIN, Brice
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Efficient runtime systems for parallel architectures [RUNTIME]
< Reduce
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Efficient runtime systems for parallel architectures [RUNTIME]
Language
en
Communication dans un congrès
This item was published in
PDCS, 2007-11-19, Cambridge. 2007
English Abstract
The ever-growing level of parallelism within the multi-core and multi-processor nodes in clusters leads to the generalization of distributed memory banks and busses with non-uniform access costs. These NUMA effects have ...Read more >
The ever-growing level of parallelism within the multi-core and multi-processor nodes in clusters leads to the generalization of distributed memory banks and busses with non-uniform access costs. These NUMA effects have been mostly studied in the context of threads scheduling and are known to have an influence on high-performance networking in clusters. We present an evaluation of their impact on communication performance in multi-Opteron machines. NUMA effects exhibit a strong and asymmetric impact on high-bandwidth communications while the impact on latency remains low. We then describe the implementation of an automatic NUMA-aware placement strategy which achieves as good communication performance as a careful manual placement, and thus ensures performance portability by gathering hardware topology information and placing communicating tasks accordingly.Read less <
English Keywords
High-Speed Networks
NUMA
Opteron
Hypertransport
Placement
Performance
Origin
Hal imported