Titlebook: OpenMP Shared Memory Parallel Programming; International Worksh Michael J. Voss Conference proceedings 2003 Springer-Verlag Berlin Heidelbe

Common-Migraine

OpenMP Runtime Support for Clusters of Multiprocessorsd OpenMP Fortran programs on both SMPs and clusters of multiprocessors, either through the hybrid programming model (MPI+OpenMP) or directly on top of Software Distributed Shared Memory (SDSM). The latter is feasible by adopting a share-everything approach for the generated by the OpenMP compiler co

Mobile

An Evaluation of MPI and OpenMP Paradigms for Multi-Dimensional Data Remappingray transpose needs an auxiliary array of the same size and a copy back stage. We recently developed an inplace method using vacancy tracking cycles. The vacancy tracking algorithm outperforms the traditional 2-array method as demonstrated by extensive comparisons. Performance of multi-threaded para

mortgage

defendant

Improving the Performance of OpenMP by Array Privatizationsharing. Good data locality is needed to overcome these problems whereas OpenMP offers limited capabilities to control it on ccNUMA architecture. A so-called SPMD style OpenMP program can achieve data locality by means of array privatization, and this approach has shown good performance in previous

optic-nerve

Soliloquy

影響深遠(yuǎn)

Juvenile

An OpenMP Implementation of Parallel FFT and Its Performance on IA-64 Processorson the DELL PowerEdge 7150 and the hp workstation zx6000 are reported. We successfully achieved performance of about 757MFLOPS on the DELL PowerEdge 7150 (Itanium 800MHz, 4CPUs) and about 871MFLOPS on the hp workstation zx6000 (Itanium2 1GHz, 2CPUs) for 2.-point FFT.

MOCK

讓步

Extended Overhead Analysis for OpenMP Performance Tuninge capability of overhead analysis and thus make the OpenMP performance tuning easier. An example case called ILP/TLP overlap is studied in detail to show the idea of layered overhead model, and a new way to organize the overhead hierarchically is also presented based on the layered overhead model.