Modern shared memory multiprocessor systems commonly have non-uniform memory access (NUMA) with asymmetric memory bandwidth and latency characteristics. Operating systems now provide application programmer interfaces allowing the user to perform specifi
Abstract To scale up to high end congurations shared memory multiprocessors are evolvin
Abstract—An important aspect of workload characterization is understanding memory system performance...
Current multi-socket systems have complex memory hierarchies with significant Non-Uniform Memory Acc...
It is well known that the placement of threads and memory plays a crucial role for performance on NU...
The problem of placement of threads, or virtual cores, on physical cores in a multicore system has b...
Nonuniform memory access time (referred to as NUMA) is an important feature in the design of large s...
Multicore multiprocessors use Non Uniform Memory Ar-chitecture (NUMA) to improve their scalability. ...
Multicore multiprocessors use a Non Uniform Memory Architecture (NUMA) to improve their scalability....
Due to their excellent price-performance ratio, clusters built from commodity nodes have become broa...
The latency of memory access times is hence non-uniform, because it depends on where the request ori...
A common approach to improve memory access in NUMA machines exploits operating system (OS) page prot...
The OpenMP programming model is based upon the assumption of uniform memory access. Virtually all cu...
Non-uniform memory access (NUMA) architectures are modern shared-memory, multi-core machines offerin...
International audienceNon Uniform Memory Access (NUMA) architectures are nowadays common for running...
International audienceNowadays, NUMA architectures are common in compute-intensive systems. Achievin...
Abstract To scale up to high end congurations shared memory multiprocessors are evolvin
Abstract—An important aspect of workload characterization is understanding memory system performance...
Current multi-socket systems have complex memory hierarchies with significant Non-Uniform Memory Acc...
It is well known that the placement of threads and memory plays a crucial role for performance on NU...
The problem of placement of threads, or virtual cores, on physical cores in a multicore system has b...
Nonuniform memory access time (referred to as NUMA) is an important feature in the design of large s...
Multicore multiprocessors use Non Uniform Memory Ar-chitecture (NUMA) to improve their scalability. ...
Multicore multiprocessors use a Non Uniform Memory Architecture (NUMA) to improve their scalability....
Due to their excellent price-performance ratio, clusters built from commodity nodes have become broa...
The latency of memory access times is hence non-uniform, because it depends on where the request ori...
A common approach to improve memory access in NUMA machines exploits operating system (OS) page prot...
The OpenMP programming model is based upon the assumption of uniform memory access. Virtually all cu...
Non-uniform memory access (NUMA) architectures are modern shared-memory, multi-core machines offerin...
International audienceNon Uniform Memory Access (NUMA) architectures are nowadays common for running...
International audienceNowadays, NUMA architectures are common in compute-intensive systems. Achievin...
Abstract To scale up to high end congurations shared memory multiprocessors are evolvin
Abstract—An important aspect of workload characterization is understanding memory system performance...
Current multi-socket systems have complex memory hierarchies with significant Non-Uniform Memory Acc...