Titlebook: A Practical Programming Model for the Multi-Core Era; International Worksh Barbara Chapman,Weiming Zheng,Dongsheng Wang Conference proceedi

閑蕩

L. Krstulovi?-Opara1,P. WriggersElement (SPE) cores. Due to the heterogeneous processor type of the CBE, multi-core programming for the CBE is very difficult which can be alleviated by OpenMP. In this paper, we introduce some issues in implementing OpenMP work-sharing constructs on the CBE. To address overheads in creating and man

Ergots

Cupidity

J. Korelc,J. Lengiewicz,S. Stupkiewicz among the underlying non-uniform architecture. The emergence of multi-core chips and NUMA machines makes it important to minimize the number of remote memory accesses, to favor cache affinities, and to guarantee fast completion of synchronization steps. By using the BubbleSched platform as a thread

作嘔

運(yùn)氣

Analysis and Simulation of Chaotic Systemstechniques include generation of communication sets and SPMD code, communication scheduling strategy, and low overhead locality transformation scheme. Finally, experimental results are presented to validate our extensions and optimization techniques.

冰河期

起草

Analysis and Simulation of Chaotic Systems to illustrate the optimizations. The framework guarantees that the traditional optimizations can be performed safely to OpenMP programs, and it further increases the opportunities for more aggressive optimizations.

薄荷醇

Analysis and Simulation of Contact Problemsmmunication over-cost between the processors. A new memory allocation model is presented, enabling us to solve the memory contention phenomenon in the specific case of shared memory programming with OpenMP.

臥虎藏龍

遠(yuǎn)足