Add to ORKGWe discuss some performance issues of the tiled Cholesky factorization on non-uniform memory access-time (NUMA) shared memory machines. We show how to optimize thread and data placement in order to improve performance. The final result is 50\ % faster than PLASMA and 75\ % faster than MKL
Non-uniform memory access (NUMA) architectures are modern shared-memory, multi-core machines offerin...
The bottleneck of most data analyzing systems, signal processing systems, and intensive computing sy...
The latency of memory access times is hence non-uniform, because it depends on where the request ori...
International audienceWe discuss some performance issues of the tiled Cholesky factorization on non-...
We employ the dynamic runtime system OmpSs to decrease the overhead of data motion in the now ubiqui...
c © The Author 2015. This paper is published with open access at SuperFri.org We employ the dynamic ...
We study the impact of non-uniform memory accesses (NUMA) on the solution of dense general linear sy...
International audienceWe study the impact of non-uniform memory accesses (NUMA) on the solution of d...
The problem of placement of threads, or virtual cores, on physical cores in a multicore system has b...
Multicore multiprocessors use Non Uniform Memory Ar-chitecture (NUMA) to improve their scalability. ...
While the growing number of cores per chip allows researchers to solve larger scientific and enginee...
Current multi-socket systems have complex memory hierarchies with significant Non-Uniform Memory Acc...
AbstractThis note calls into question a claim one sometimes hears about the time it takes to compute...
Due to their excellent price-performance ratio, clusters built from commodity nodes have become broa...
We present accurate time and energy piece-wise models of high-performance multi-threaded implementat...
Non-uniform memory access (NUMA) architectures are modern shared-memory, multi-core machines offerin...
The bottleneck of most data analyzing systems, signal processing systems, and intensive computing sy...
The latency of memory access times is hence non-uniform, because it depends on where the request ori...
International audienceWe discuss some performance issues of the tiled Cholesky factorization on non-...
We employ the dynamic runtime system OmpSs to decrease the overhead of data motion in the now ubiqui...
c © The Author 2015. This paper is published with open access at SuperFri.org We employ the dynamic ...
We study the impact of non-uniform memory accesses (NUMA) on the solution of dense general linear sy...
International audienceWe study the impact of non-uniform memory accesses (NUMA) on the solution of d...
The problem of placement of threads, or virtual cores, on physical cores in a multicore system has b...
Multicore multiprocessors use Non Uniform Memory Ar-chitecture (NUMA) to improve their scalability. ...
While the growing number of cores per chip allows researchers to solve larger scientific and enginee...
Current multi-socket systems have complex memory hierarchies with significant Non-Uniform Memory Acc...
AbstractThis note calls into question a claim one sometimes hears about the time it takes to compute...
Due to their excellent price-performance ratio, clusters built from commodity nodes have become broa...
We present accurate time and energy piece-wise models of high-performance multi-threaded implementat...
Non-uniform memory access (NUMA) architectures are modern shared-memory, multi-core machines offerin...
The bottleneck of most data analyzing systems, signal processing systems, and intensive computing sy...
The latency of memory access times is hence non-uniform, because it depends on where the request ori...