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Nowadays, NVIDIA's CUDA is a general purpose scalable parallel programming model for writing highly parallel applications. It provides several key abstractions - a hierarchy of thread blocks, shared memory, and barrier synchronization. This model has proven quite successful at programming multithreaded many core GPUs and scales transparently to hundreds of cores: scientists throughout industry and...
In this paper, a parallel model for the detection and analysis of electrocardiogram (ECG) will be defined. First of all, the parameters of digital FIR filter are worked out, with the help of MATLAB. Before any parallel model being defined, the serial algorithms of detection and analysis of ECG are discussed. Then each serial algorithm will be parallelized to build our parallel model. At the end of...
This study presents a new parallel Finite Element Method (FEM) strategy designed for coarse grain distributed memory systems. The adopted communication protocol is Message Passing Interface (MPI) and tests are carried out in a cluster of PCs. Compressed data structure is used to store the Hessian matrix in order to optimize memory usage and to use the parallel direct solver MUMPS. The new partitioning...
Message passing, as implemented in message passing interface (MPI), has become the industry standard for programming on distributed memory parallel architectures, while the threading on shared memory machines is typically implemented in OpenMP. Outstanding performance has been achieved with these methods, but only on a relatively small number of codes, requiring expert tuning, particularly as system...
The simulation of cerebral phenomena, such spreading depression wave (SD), involves the modeling of large-scale neuronal populations. Consequently, the processing time and the computational resource costs become elevate. The goal of this work is to apply the parallel programming techniques on the simulation of SD in a three-dimensional representation of the neuronal tissue. The model consists in the...
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