Dynamic Task and Data Placement over NUMA Architectures: An OpenMP Runtime Perspective
IWOMP '09 Proceedings of the 5th International Workshop on OpenMP: Evolving OpenMP in an Age of Extreme Parallelism
Affinity-on-next-touch: an extension to the Linux kernel for NUMA architectures
PPAM'09 Proceedings of the 8th international conference on Parallel processing and applied mathematics: Part I
Improving memory affinity of geophysics applications on NUMA platforms using minas
VECPAR'10 Proceedings of the 9th international conference on High performance computing for computational science
A case for NUMA-aware contention management on multicore systems
USENIXATC'11 Proceedings of the 2011 USENIX conference on USENIX annual technical conference
Exploiting thread-data affinity in OpenMP with data access patterns
Euro-Par'11 Proceedings of the 17th international conference on Parallel processing - Volume Part I
Proceedings of the 21st international symposium on High-Performance Parallel and Distributed Computing
Node-based memory management for scalable NUMA architectures
Proceedings of the 2nd International Workshop on Runtime and Operating Systems for Supercomputers
Nonuniform memory affinity strategy in multithreaded sparse matrix computations
Proceedings of the 2012 Symposium on High Performance Computing
MemProf: a memory profiler for NUMA multicore systems
USENIX ATC'12 Proceedings of the 2012 USENIX conference on Annual Technical Conference
High throughput software for direct numerical simulations of compressible two-phase flows
SC '12 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
A flexible and dynamic page migration infrastructure based on hardware counters
The Journal of Supercomputing
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As the number of cores per machine increases, memory architectures are being redesigned to avoid bus contention and sustain higher throughput needs. The emergence of Non-Uniform Memory Access (NUMA) constraints has caused affinities between threads and buffers to become an important decision criterion for schedulers.