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Shared memory

One Tier Dataflow Programming Model for Hybrid Distributed  and Shared Memory Systems

One Tier Dataflow Programming Model for Hybrid Distributed and Shared Memory Systems

... targeting shared memory multi-core architectures with specific extensions to support combined distributed- and shared-memory ...the shared-memory ...the ...

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TítuloParallel simulation of Brownian dynamics on shared memory systems with OpenMP and Unified Parallel C

TítuloParallel simulation of Brownian dynamics on shared memory systems with OpenMP and Unified Parallel C

... for shared memory systems using two approaches: (1) OpenMP directives and (2) the Partitioned Global Ad- dress Space (PGAS) paradigm with the Unified Parallel C (UPC) ...

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Using OpenMP: Portable Shared Memory Parallel Programming . Barbara Chapman, Gabriele Jost, Ruud van der Pas The MIT Press, 2008

Using OpenMP: Portable Shared Memory Parallel Programming . Barbara Chapman, Gabriele Jost, Ruud van der Pas The MIT Press, 2008

... In conclusion, this is a book entirely recommended, away from books or proposals of parallelization on shared memory computers that have appeared in recent years, more related to a market advantage than to ...

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Computación paralela en máquinas de memoria compartida escalableParallel computating on scalable shared memory machines

Computación paralela en máquinas de memoria compartida escalableParallel computating on scalable shared memory machines

... Es claro que si el programador busca obtener el mejor desempejio de la maquina, tendra que pensar en las comunicaciones entre procesadores, pero el sistema Origin2000 (arquitectura y sis[r] ...

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A shared-memory multiprocessor scheduling algorithm

A shared-memory multiprocessor scheduling algorithm

... For each node, define a Time Window equal to the size of the task.. Put into Unsched all DAG nodes.[r] ...

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Lessons learned from contrasting a BLAS kernel implementations

Lessons learned from contrasting a BLAS kernel implementations

... This highly optimized code can be found in the package available to registered developers, inside sspr.cu and sspr.h files. The main routine is cublasSspr(). This implementation first loads into device shared ...

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Efficient similarity search on multimedia databases

Efficient similarity search on multimedia databases

... is fix and is determined in relation to the required resources by block. Each block chooses a local pivot (it has to belong to input data list of block) and divides the data sequence in two subsequences: one has the ...

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TítuloPerformance analysis of HPC applications in the cloud

TítuloPerformance analysis of HPC applications in the cloud

... and shared memory transfers for CC1 and CC2 instances; (2) it has assessed the scalability of representative message-passing codes (NPB) using up to 512 cores; (3) it has revealed that the new CC2 ...

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A GPU Parallel Finite Volume Method for a 3D Poisson Equation on Arbitrary Geometries

A GPU Parallel Finite Volume Method for a 3D Poisson Equation on Arbitrary Geometries

... CPU memory to GPU memory; next the data are processed into a kernel function, and then the output data are transferred from GPU memory to CPU ...the shared memory and can be ...

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TítuloLocality Aware Automatic Parallelization for GPGPU with OpenHMPP Directives

TítuloLocality Aware Automatic Parallelization for GPGPU with OpenHMPP Directives

... software-only shared memory. The memory allocation system ensures that addresses of equivalent allocation units on the CPU and GPU are equal, relieving the runtime library of the burden of ...

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Expressing Heterogeneous Parallelism in C++ with Threading Building Blocks

Expressing Heterogeneous Parallelism in C++ with Threading Building Blocks

... This tutorial will start with a survey of heterogeneous architectures and programming models. It will introduce the Intel® Threading Building Blocks (Intel® TBB) library and discuss its relevance for HPC before ...

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TítuloNonblocking collectives for scalable Java communications

TítuloNonblocking collectives for scalable Java communications

... the shared memory algorithm shows better performance for small and medium size messages, nbFT is better for large messages, which are extensively used in this ...of memory locality and L3 cache ...

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TítuloDesign of Scalable Java Communication Middleware for Multi Core Systems

TítuloDesign of Scalable Java Communication Middleware for Multi Core Systems

... in shared memory ...a shared memory system, a blocking wait would not report any benefit since there are no other threads waiting for CPU ...

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TítuloPerformance Evaluation of MPI, UPC and
OpenMP on Multicore Architectures

TítuloPerformance Evaluation of MPI, UPC and OpenMP on Multicore Architectures

... allow shared memory-like programming on distributed memory ...the shared memory is partitioned among the threads in regions, each one with affinity to the corresponding ...the ...

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TítuloPerformance Evaluation of Unified Parallel C Collective Communications

TítuloPerformance Evaluation of Unified Parallel C Collective Communications

... scenarios: shared memory, dis- tributed memory, and hybrid shared/distributed ...the shared-memory configuration (from now on denoted as “SMP”) the benchmarks are run on the ...

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Solving parallel problems by OTMP model

Solving parallel problems by OTMP model

... lel programming model, valid to distributed memory mahines and shared memory mahines.... enes with their urrent versions.[r] ...

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2019 Ardila Memory Disorders

2019 Ardila Memory Disorders

... intact. Memory impairments are found in declarative memory for both episodic (experi- ential) and semantic (language mediated) ...working memory; however, if their attention is directed to another ...

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2014 Ardila  Working memory

2014 Ardila Working memory

... WM is directly related to language learning. In 1988 Baddeley, Papagno, and Vallar reported the case of a 26 year-old Italian woman with a very pure deficit in short-term memory after a left- hemisphere stroke. ...

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