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shared memory parallel applications

Performance Analysis of Multilevel Parallel Applications on Shared Memory Architectures

Performance Analysis of Multilevel Parallel Applications on Shared Memory Architectures

... when parallel functions are being executed by each thread or what the MIPS or cache miss rates are for a given time ...the parallel functions view of an MLP applica- tion with two processes and four threads ...

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A scalable and reconfigurable shared memory architecture for large scale graphics applications

A scalable and reconfigurable shared memory architecture for large scale graphics applications

... and memory. When implemented on a parallel architecture, the memory needs to be frequently accessed by the concurrently operating ...in parallel on a single device, which allows for the ...

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Shared Memory Multiprocessor

Shared Memory Multiprocessor

... the MTA is similar to and predates the MAOs of the SGI Origin 2000 and Cray T3E. Active message are an well-organized way to arrange parallel applications [5, 32]. An active message includes the address of ...

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Twister2: Design of a Big Data Toolkit

Twister2: Design of a Big Data Toolkit

... irregular parallel applications in a more robust ...use shared memory and threading to achieve the best performance out of many-core ...develop applications agnostic to the details of ...

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LIBMF: A Library for Parallel Matrix Factorization in Shared-memory Systems

LIBMF: A Library for Parallel Matrix Factorization in Shared-memory Systems

... many applications such as recommender systems and computer vision, but MF may take long running time for handling large matrices commonly seen in the big data ...Many parallel techniques have been proposed ...

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Programming Models for Parallel Heterogeneous Computing

Programming Models for Parallel Heterogeneous Computing

... on shared memory parallelism and multi- core technology by UPCRC Co-Director Marc ...sequential applications into concurrent ...Intel Parallel Inspector, the Intel Parallel Amplifier ...

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Parallel K Means Algorithm for Shared Memory Multiprocessors

Parallel K Means Algorithm for Shared Memory Multiprocessors

... practical applications, and iterative nature it is se- lected as one of the top 10 algorithms in data mining ...on shared-nothing ...on shared memory architectures recently start to attract ...

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Multithreading Aware Hardware Prefetching for Chip Multiprocessors

Multithreading Aware Hardware Prefetching for Chip Multiprocessors

... design, applications must be divided into semi-independent processes, that can run concur- rently on multiple cores within a ...in parallel while a thread waits on the synchronization ...the Memory ...

52

HPC GAP: engineering a 21st century high performance computer algebra system

HPC GAP: engineering a 21st century high performance computer algebra system

... Science. Applications are typically large and potentially highly parallel, making them good candidates for parallel execution at a variety of scales from multi-core to high-performance computing ...

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Design and Implementation of Shared Memory based Parallel File System Logging Method for High Performance Computing

Design and Implementation of Shared Memory based Parallel File System Logging Method for High Performance Computing

... a shared, or static, library that can be used to interact with the file system using its native ...However, applications should be written by using specific functions such as pvfs_open and ...

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Enhanced computation method of topological smoothing on shared memory parallel machines

Enhanced computation method of topological smoothing on shared memory parallel machines

... preprocessing applications, such as smoothing, to reduce ...a parallel computation and better memory management, while preserving the topology (number of connected components) of the original image ...

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A multicore numerical framework for assessing the permeability of reservoir rocks

A multicore numerical framework for assessing the permeability of reservoir rocks

... common shared memory problems such as race conditions and thread ...previous memory, while updates are written to the current value ...rolling memory algorithm switches the index of previous ...

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Virtual Data Gloves : Interacting with Virtual Environments through Computer Vision

Virtual Data Gloves : Interacting with Virtual Environments through Computer Vision

... This paper outlines a system design and implementation of a 3D input device for graphical applications. It is shown how computer vision can be used to track a users movements within the image frame allowing ...

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Complex Performance Modeling of Parallel Algorithms

Complex Performance Modeling of Parallel Algorithms

... performed parallel computations while the overhead function h(s, p) represents latency times attributed to communication of parallel processes, synchronization, waiting to shared resources ...fixed ...

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Optimization of 3-D Wavelet Decomposition on Multiprocessors

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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Chain Multiplication of Dense Matrices: Proposing a Shared Memory based Parallel Algorithm

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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An annotated bibliography on using parallel processing systems (with emphasis on topics related to air quality modeling)

An annotated bibliography on using parallel processing systems (with emphasis on topics related to air quality modeling)

... NAS applications on the Cray Y-MP, the researchers found the automatic tools produced insufficient performance, while the interactive tool was able to enhance performance through assisting the user in finding and ...

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Shared Memory Transport for ALFA

Shared Memory Transport for ALFA

... own memory upon receiving data, so moving the data to shared memory will require additional ...and shared memory transport are designed to support a zero-copy data transfer between ...

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Scalable Community Detection using Distributed Louvain Algorithm

Scalable Community Detection using Distributed Louvain Algorithm

... distributed-memory parallel algorithms is challenging because of inter-process communication and load-balancing ...a shared memory-based algorithm using OpenMP, which shows a 4-fold speedup ...

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The Advantages of Using Grid and PI2S2

The Advantages of Using Grid and PI2S2

... HPC applications are intrinsically more complicated than other job types and reach the highest performances only if all the involved nodes are dedicated to them, so the most important applications require ...

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