shared memory parallel processing
Optimization of Machine Learning Process Using Parallel Computing
... for shared memory parallel processing ...a parallel program, the master thread executes sequential parts and if a parallel region appears, the master thread populates slave ...
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Survey on Pure Parallel Programming Models: OpenMP and MPI
... pure parallel programming models. shared and distributed memory approaches are also reviewed in this ...Multi Processing (OpenMP), Message Passing Interface (MPI) in parallel ...
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An annotated bibliography on using parallel processing systems (with emphasis on topics related to air quality modeling)
... This paper discusses three techniques used for parallelizing the ELLPACK software pack- age for solving partial differential equations: an explicit approach using compiler direc- tives available on a particular target ...
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Presentation of a Parallel Algorithm for Nearest Neighbor Search on GPU Using CUDA
... Now, according to the pseudocode in figure 3 will be discussed in detail. Points array including three- Dimentional points coordination in the indices array that keeps its nearest neighbors. like pseudocode in figure 2 ...
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Co processing SPMD Computation on GPUs and CPUs on Shared Memory System
... vector processing and hardware ...arrange memory access ...into parallel sub-tasks with arbitrary granularities because the proper task processing granularities on GPU and CPU are ...
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Fine grained Parallel Ant Colony System for Shared Memory Architectures
... of parallel computing techniques, to run some of the calculations ...for parallel processing ...of parallel computing solutions ...each processing unit, and exchange some sort of ...
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Enhanced computation method of topological smoothing on shared memory parallel machines
... The measurements were done on 2D binary image (512*512). If we can get a satisfactory outcome for this standard, it will be the same for smaller size images. View cache size limits, larger image will not be tested. ...
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Parallelization of formal concept analysis algorithms
... Shared memory parallel machines can be programmed by generating threads, where each thread is executed on a separate ...core. Shared memory programming models such as ArBB, TBB, OpenMP, ...
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LIBMF: A Library for Parallel Matrix Factorization in Shared-memory Systems
... Honglak Lee, Alexis Battle, Rajat Raina, and Andrew Y. Ng. Efficient sparse coding algorithms. In Advances in Neural Information Processing Systems, pages 801–808. 2007. Rong Pan, Yunhong Zhou, Bin Cao, Nathan N ...
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Parallel K Means Algorithm for Shared Memory Multiprocessors
... image processing, computer vision and ...on shared-nothing ...on shared memory architectures recently start to attract some ...on shared memory multiprocessors is done in the ...
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A multicore numerical framework for assessing the permeability of reservoir rocks
... with shared-memory, multicore parallel processing to increase the flexibility and scalability of ...utilized parallel programming model exploits the large memory as well as the ...
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Complex Performance Modeling of Parallel Algorithms
... of parallel DFFT is the one-dimensional (1-D), unordered and radix–2 algorithms (using divide and conquer strategy according the principle at Figure ...effective parallel computing of DFFT tends to ...
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HPC GAP: engineering a 21st century high performance computer algebra system
... highly parallel, making them good candidates for parallel execution at a variety of scales from multi-core to high-performance computing ...on parallel computing is based around numeric rather than ...
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Optimization of 3-D Wavelet Decomposition on Multiprocessors
... bined to a 3-D data block consisting of 512 frames. QMF filters with 8 coefficients are used. The PVM version employed is a special shared memory variant for SGI systems, shared memory ...
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Analyzing Memory Performance Bottlenecks in OpenMP Programs on SMP Architectures using ccSIM
... the memory references to its cache hi- erarchy for simulation of ...threads processing critical or atomic entry and exit events acquire and release these locks, thereby preserving the seman- tics of mutual ...
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Poetic parallelism and working memory
... Many kinds of parallelism resemble meter in extending from beginning to end of a section of text, but there are differences, which may relate to how meter and parallelism are processed in working memory. While ...
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Chain Multiplication of Dense Matrices: Proposing a Shared Memory based Parallel Algorithm
... The shared memory algorithms worked with different number of processors used ...and memory storage capacity of the system the time complexity will vary in a parallel environment [20, ...the ...
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Circumventing Obstacles for Visual Robot Navigation Using a Stack of Odometric Data
... a parallel implementation of the search ...in parallel, in a GPU, using CUDA architecture, as shown in the lower part of ...in parallel to check all memory locations and get a quick ...The ...
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A parallel compact-TVD method for compressible fluid dynamics employing shared and distributed-memory paradigms
... a parallel tridiagonal block CFD ...and shared memory ...the memory model, and are nested in a funnelled mode as detailed in Section ...and shared-memory paradigms; in Section 4 ...
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Co processing SPMD Computation on GPUs and CPUs with MapReduce Interface on Shared Memory System
... C-means MapReduce Algorithm C-means MapReduce Algorithm: Configure: 1 Copy data from the CPU to GPU memory Map function: 2 Calculate the distance matrix 3 Calculate the membership matrix[r] ...
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