Abstract. In this paper we present HPF extensions for clusters of SMPs and their implementation within the VFC compiler. The main goal of these extensions is to optimize HPF for clusters of SMPs by enhanc-ing the functionality of the mapping mechanisms and by providing the user with high-level means for controlling key aspects of distributed-memory and shared-memory parallelization. Based on the proposed lan-guage extensions, the VFC compiler adopts a hybrid parallelization strat-egy which closely reflects the hierarchical structure of SMP clusters by exploiting shared-memory parallelism based on OpenMP within nodes and distributed-memory parallelism utilizing MPI across nodes. We de-scribe the language extensions, outline the hybrid parall...
Parallel systems supporting a shared memory programming interface have been implemented both in soft...
The parallelization process of nested-loop algorithms onto popular multi-level parallel architectur...
Clusters of Symmetrical Multiprocessor machines are increasingly becoming the norm for high performa...
Clusters of shared-memory multiprocessors (SMPs) have become the most promising parallel computing p...
Clusters of shared-memory multiprocessors (SMPs) have become the most promising parallel computing p...
This paper first discusses three types of parallel computing models in cluster environment, namely G...
We present the first fully automated compiler-runtime system that successfully translates and execut...
Most HPC systems are clusters of shared memory nodes. To use such systems efficiently both memory co...
Overview Most HPC systems are clusters of shared memory nodes. To use such systems efficiently both...
Most HPC systems are clusters of shared memory nodes. Parallel programming must combine the distribu...
Traditionally, the compilation of dataparallel languages is targeted to low-level runtime environmen...
Most HPC systems are clusters of shared memory nodes. Parallel programming must combine the distribu...
Applications are increasingly being executed on computational systems that have hierarchical paralle...
The symmetric multiprocessing (SMP) cluster system, which consists of shared memory nodes with sever...
Branch&Bound (B&B) is a technique widely used to solve combinatorial optimization problems in physic...
Parallel systems supporting a shared memory programming interface have been implemented both in soft...
The parallelization process of nested-loop algorithms onto popular multi-level parallel architectur...
Clusters of Symmetrical Multiprocessor machines are increasingly becoming the norm for high performa...
Clusters of shared-memory multiprocessors (SMPs) have become the most promising parallel computing p...
Clusters of shared-memory multiprocessors (SMPs) have become the most promising parallel computing p...
This paper first discusses three types of parallel computing models in cluster environment, namely G...
We present the first fully automated compiler-runtime system that successfully translates and execut...
Most HPC systems are clusters of shared memory nodes. To use such systems efficiently both memory co...
Overview Most HPC systems are clusters of shared memory nodes. To use such systems efficiently both...
Most HPC systems are clusters of shared memory nodes. Parallel programming must combine the distribu...
Traditionally, the compilation of dataparallel languages is targeted to low-level runtime environmen...
Most HPC systems are clusters of shared memory nodes. Parallel programming must combine the distribu...
Applications are increasingly being executed on computational systems that have hierarchical paralle...
The symmetric multiprocessing (SMP) cluster system, which consists of shared memory nodes with sever...
Branch&Bound (B&B) is a technique widely used to solve combinatorial optimization problems in physic...
Parallel systems supporting a shared memory programming interface have been implemented both in soft...
The parallelization process of nested-loop algorithms onto popular multi-level parallel architectur...
Clusters of Symmetrical Multiprocessor machines are increasingly becoming the norm for high performa...