In addition, since traditional parallel programming models, such as MPI, are implemented for a single tenant cluster environment, applying these models to HPC applications on the cloud is a challenging in terms
This chapter is an introduction toparallel programming. It is organized to address the need for teaching parallel programming on currentsystem architecturesusing OpenCL as the target language, and it includes examples forCPUs,GPUs, and their integration in the accelerated processing unit (APU). Its ...
In order to deal with the problem, many researchers try to design efficient parallel classification algorithms. This paper introduces the classification algorithms and cloud computing briefly, based on it analyses the bad points of the present parallel classification algorithms, then addresses a new ...
This study proposes the spark-based parallel dynamic programming (SPDP) and spark-based parallel particle swarm optimization (SPPSO) methods via cloud computing. Taking the cascade eight-reservoir system in the Yuanshui basin in China as an example, simulation experiments are carried out for the ...
Parallel computing, also known as parallel programming, is a process where large compute problems are broken down into smaller problems that can be solved simultaneously by multiple processors. The processors communicate using shared memory and their solutions are combined using an algorithm. Parallel co...
Parallel Computing Toolbox lets you take control of your local multicore processors and GPUs to speed up your work. High-level constructs enable you to parallelize MATLAB applications without CUDA®or MPI programming and run multiple Simulink simulations in parallel. Several MATLAB and Simulink produ...
Our parallel method is extended to work with the Hadoop MapReduce programming model and is executed in different cloud computing environments. To evaluate the proposed approach, we use a well-known open-source software GeneNetWeaver to create several yeast S. cerevisiae sub-networks and use them ...
In addition, it is proven that this parallel programming model is suitable for the CPU-FPGA heterogeneous system which can be used as cluster cloud computing node. Meanwhile, we make a comparison of our model with other references and verify the efficient of the programming model in this paper...
One important technique for achieving maximal performance in applications is the ability to split intensive tasks into chunks that can be performed in parallel to maximize the use of computational power. Dealing with concurrent (parallel) programming has traditionally been difficult, because you have to...
Programming Interface Start a Parallel Pool.You can start and stop a parallel pool programmatically by using default settings or specifying alternatives. To open a parallel pool based on your default settings: parpool To open a pool of a specific size: ...