And few researches are currently researching on parallel approaches in multi-source data environments. Therefore, we give an accelerated model for computing equivalence classes of multi-source data based on MapReduce framework, shown in Fig. 6. From Fig. 6, an MsIS can be split by multiple ...
J Behrens,O Haan,L Kornblueh - International Conference on Parallel Computing: Software Technology, Algorithms 被引量: 0发表: 2004年 parallel decomposition approaches for training support vector machines * [Advances in Parallel Computing] Parallel Computing - Software Technology, Algorithms, Architectures...
However, until recently parallelism has been extremely difficult to use because of the lack of suitable parallel programming approaches. In general, the acceptance of parallel computation has been facilitated by two major developments: massively parallel processors and the widespread use of distributed ...
(Parallel Computing Toolbox) Illustrating Three Approaches to GPU Computing: The Mandelbrot Set Adapt your MATLAB® code to compute the Mandelbrot Set using a GPU. (Parallel Computing Toolbox) Run Script as Batch Job Use batch to offload work to a MATLAB® worker session that runs in the ...
The fundamental paradigms of parallel computing are set out in the second chapter. These are the key methods by which the various approaches are implemented – the basic intellectual ideas behind particular implementations. The third chapter considers a matter of vital importance, namely how ...
Types of parallel computing approaches There are four main types of parallel computing: Bit-level parallelism, which increases the amount of information the processor can handle, effectively decreasing the number of instructions that are required to complete a single task ...
parallel computing Applications (including scientific computing, deep learning, machine learning) or tool case studies demonstrating novel ways to achieve parallelism Performance measurement results on state-of-the-art systems Approaches to effectively utilize large-scale parallel computing including new ...
-Software engineering and productivity as it relates to parallel computing -Applications (including scientific computing, deep learning, machine learning) or tool case studies demonstrating novel ways to achieve parallelism -Performance measurement results on state-of-the-art systems -Approaches to effective...
In several cases, completely new algorithms have to be designed, so that a parallelization is feasible. We review approaches to motion planning using parallel computation 展开 关键词: computational geometry graph theory mathematical programming parallel algorithms path planning robots search problems ...
in the development of the programs. This stage will concentrate on the evaluation of the behaviour quality of parallel programs, concentrating on its implications on both the design and implementation of the program. When considering the analysis of a program, two possible approaches can be taken ...