Abstract. OpenMP has become the dominant standard for shared memory pro-gramming. It is traditionally used for Symmetric Multiprocessor Systems, but has more recently also found its way to parallel architectures with distributed shared memory like NUMA machines. This combines the advantages of OpenMP’s easy-to-use programming model with the scalability and cost-effectiveness of NUMA architectures. In NUMA (Non Uniform Memory Access) environments, however, OpenMP codes suffer from the longer latencies of remote memory accesses. This can be observed for both hardware and software DSM systems. In this paper we present SIMT/OMP, a simulation environment capable of modeling NUMA scenarios and providing comprehensive performance data about the in...
The fast emergence of OpenMP as the preferable parallel programming paradigm for small-to-medium sca...
This paper makes two important contributions. First, the pa-per investigates the performance implica...
The concept of a shared address space simplifies the parallelization of programs by using shared dat...
The OpenMP programming model is based upon the assumption of uniform memory access. Virtually all cu...
International audienceAnticipating the behavior of applications, studying, and designing algorithms ...
Processors with multiple sockets or chiplets are becoming more conventional. These kinds of processo...
Shared memory applications running transparently on top of NUMA architectures often face severe perf...
In geophysics, the appropriate subdivision of a region into segments is extremely important. ICTM (I...
Non-uniform memory access (NUMA) architectures are modern shared-memory, multi-core machines offerin...
The most widely used node type in high-performance computing nowadays is a 2-socket server node. The...
Multicore multiprocessors use a Non Uniform Memory Architecture (NUMA) to improve their scalability....
International audienceNon Uniform Memory Access (NUMA) architectures are nowadays common for running...
Anticipating the behavior of applications, studying, and designing algorithms are some of the most i...
Multicore multiprocessors use Non Uniform Memory Ar-chitecture (NUMA) to improve their scalability. ...
Shared memory parallel programming, for instance by inserting OpenMP pragmas into program code, migh...
The fast emergence of OpenMP as the preferable parallel programming paradigm for small-to-medium sca...
This paper makes two important contributions. First, the pa-per investigates the performance implica...
The concept of a shared address space simplifies the parallelization of programs by using shared dat...
The OpenMP programming model is based upon the assumption of uniform memory access. Virtually all cu...
International audienceAnticipating the behavior of applications, studying, and designing algorithms ...
Processors with multiple sockets or chiplets are becoming more conventional. These kinds of processo...
Shared memory applications running transparently on top of NUMA architectures often face severe perf...
In geophysics, the appropriate subdivision of a region into segments is extremely important. ICTM (I...
Non-uniform memory access (NUMA) architectures are modern shared-memory, multi-core machines offerin...
The most widely used node type in high-performance computing nowadays is a 2-socket server node. The...
Multicore multiprocessors use a Non Uniform Memory Architecture (NUMA) to improve their scalability....
International audienceNon Uniform Memory Access (NUMA) architectures are nowadays common for running...
Anticipating the behavior of applications, studying, and designing algorithms are some of the most i...
Multicore multiprocessors use Non Uniform Memory Ar-chitecture (NUMA) to improve their scalability. ...
Shared memory parallel programming, for instance by inserting OpenMP pragmas into program code, migh...
The fast emergence of OpenMP as the preferable parallel programming paradigm for small-to-medium sca...
This paper makes two important contributions. First, the pa-per investigates the performance implica...
The concept of a shared address space simplifies the parallelization of programs by using shared dat...