shared memory parallel programming
Survey on Pure Parallel Programming Models: OpenMP and MPI
... a shared memory Application Programming Interface (API) whose aim is to ease Shared Memory parallel ...across Shared Memory ...
5
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, ...
151
OpenCL for programming shared memory multicore CPUs
... TBB needs paralleled portions of a program to be encapsulated in template classes which required medium effort. It moves parallel code out of the serial structure of the main program contributing to object ...
12
Exploiting Multi Core Architectures for Process Speed Up
... C programming language on LINUX ...a shared memory programming model where parallelism takes the form of parallel function invocations by threads which can access shared global ...
8
Region based techniques for modeling and enhancing cluster OpenMP performance
... share memory programming model, such as OpenMP that utilizes a fork-join like parallelism approach, limits the need of data commu- nication between threads to well defined consistency points ...of ...
206
Performance Analysis of Multilevel Parallel Applications on Shared Memory Architectures
... OpenMP parallel regions and work-sharing constructs are also ...this programming model, the code regions that correspond to the body of the parallel re- gions/loops are outlined by the compiler and ...
10
AN EVOLUTIONARY APPROACH TO PARALLEL COMPUTING USING GPU
... share memory programs into MPI message-passing programs for execution on distributed memory systems ...share memory to Cell architectures [12, ...share memory parallelism, specified by ...
8
Analysis of Memory Performance and Execution Models for Large-Scale Manycores.
... efficient parallel application, but it is not trivial to ...pattern, memory footprint, intra-node bandwidth, inter-node bandwidth and load distribution, a coarse domain decomposition at the process level ...
73
Chain Multiplication of Dense Matrices: Proposing a Shared Memory based Parallel Algorithm
... that parallel implementation is completely based on shared memory architecture using an API package OpenMP ...in shared memory architecture, as currently most of the multicore systems ...
6
Optimization of 3-D Wavelet Decomposition on Multiprocessors
... a shared memory ar- chitecture is easily achieved by transforming a sequential algorithm into a parallel one by sim- ply identifying areas of code, which are suitable to be run in parallel ...
10
Shared Memory Multiprocessor
... the memory con- troller without invalidate shared copy in processor ...specified memory location, updates the shared cop- ies in processor caches with the new value, and returns the old ...of ...
6
PARALLEL COMPUTING IMPLEMENTATION USING GPU
... computing. Programming for GPU is still complex, compared to programming ...and parallel programming models such as share memory programming ...share memory ...
11
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 ...
6
Programming Models for Parallel Heterogeneous Computing
... on shared memory parallelism and multi- core technology by UPCRC Co-Director Marc ...Intel Parallel Inspector, the Intel Parallel Amplifier and the Intel Parallel ...Task ...
9
OVERVIEW OF MULTICORE, PARALLEL COMPUTING, AND DATA MINING
... access data in a diff. Long transmission time.. PARALLEL PROGRAMMING MODEL. Shared-Memory Programming model[r] ...
30
An Efficient Parallel Substrate for Typed Feature Structures on Shared Memory Parallel Machines
... We propose an efficient programming environment for developing parallel NLP systems on shared-memory parallel machines, called the Parallel Substrate for Typed Feature Structures PSTFS..[r] ...
7
Optimization of Machine Learning Process Using Parallel Computing
... In the range of intelligent systems and ML development, we have a typical task concerning running some perceptron algorithm with various parameters. After performing calculations, it of- ten turns out that there are ...
7
Strong Memory Consistency For Parallel Programming
... existing programming models, like pthreads, and found that using ordering-free regions was at least as easy as writing parallel programs with existing ...buggy parallel program than to use data-race ...
128
Use of Mapreduce for Data Mining and Data Optimization on a Web Portal
... This paper studied the design, implementation and evaluation of a MapReduce tool targeting distributed systems, and multi- core system architectures. MapReduce is a distributed programming model originally ...
5
Fine grained Parallel Ant Colony System for Shared Memory Architectures
... We have optimized the algorithm’s overall speed by reviewing the thread-management overheads and skipping neutral thread-safety locks. By relaxing the synchronization mechanisms that is used for consistency, we have ...
6