Parallel Programming
Intelligent Trace and Evaluation for Parallel Programming Based on Architectural Details
... SWARM [15] is a parallel programming framework for multicore processors. It is a descendant of a SMP node library component to develop efficient multicore algorithms. Because of their application is limited ...
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Structured parallel programming for Monte Carlo Tree Search
... doing parallel programming is to use software threads, such as POSIX threads, usually referred to as ...in parallel pro- gramming is considered as equivalent to writing in assembly language ...in ...
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A Case Study of Novice Programmers on Parallel Programming Models
... [1] programming model offers a more controllable interface to programmers compared to OpenACC ...surprisingly, programming GPUs is still time-consuming and error-prone work compared to the experience of ...
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On algorithmic reductions in task-parallel programming models
... of parallel architectures in mainstream computing and the rising demand for programming productivity on these ...towards parallel hardware and where programmers were becoming ready to dedicate some ...
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Survey on Pure Parallel Programming Models: OpenMP and MPI
... ABSTRACT: This paper presents all pure parallel programming models. shared and distributed memory approaches are also reviewed in this paper. This paper introduces the contribution of Open standards such as ...
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Approaches to Data Parallel Programming
... Data Parallel Approach means split the data on which the instruction is to be applied and assign the same task to different processing elements for the processing over the individual data that has been assigned to ...
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An Adjacent Analysis of the Parallel Programming Model Perspective: A Survey
... of parallel computing and parallel programming by the application development industry is forcing the researcher community to bring the modern and novel frameworks and models in order to increase the ...
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Parallel Programming Design of BPSK Signal Demodulation Based on CUDA
... Digital Phase modulation, namely Phase Shift Keying (Phase Shift Keying, PSK), is a very important basic digital modulation technology, which using carrier Phase modulation technique information to express input signal. ...
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HPJava: A Data Parallel Programming Alternative
... HPJava lifts some ideas wholesale from High Performance Fortran, and it’s domain of applicability is likely to overlap to a large extent. It has an almost equivalent model of distributed arrays (the only very significant ...
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Strong Memory Consistency For Parallel Programming
... in parallel may lead to an ...$700. Parallel programming models must help the programmer reason about concurrent executions in order to avoid ...
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Performance Analysis of Parallel Programming Tools
... the parallel programming tools ...the parallel computing ...and parallel virtual machine (PVM) are the most popular examples of the message passing tools ...many parallel computing ...
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Improving Performance of HNN by using Parallel Programming Method
... uses parallel processing techniques for improving the performance of ...with parallel programming or implementing the model on a graphics processing unit ...
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Efficient Parallel Programming Using Python and C
... Scientific applications often involve graphic visualization of the results. Professional- looking graphs need fine tunings of tick-marks on axis, colors and line-styles, etc [7]. Developing a plotting program that gives ...
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Portable Parallel Programming on Cloud and HPC: Scientific Applications of Twister4Azure
... – Address the challenges of scalability and fault tolerance unique to utilizing the cloud interfaces – Support multi-level caching of loop-invariant data across iterations as well as cac[r] ...
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Overview of Cloud Technologies and Parallel Programming Frameworks for Scientific Applications
... • Apache Implementation of Google’s MapReduce • Hadoop Distributed File System HDFS manage data • Map/Reduce tasks are scheduled based on data locality in HDFS replicated data blocks.. •[r] ...
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Distributed and Parallel Programming Environments and their performance
... All three implementations perform the same Kmeans clustering algorithm Each test is performed using 5 compute nodes Total of 40 processor cores CGL-MapReduce shows a performance close to[r] ...
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Distributed and Parallel Programming Environments and their performance
... My laptop using a dynamic number of cores for runs Threading CCR parallel model allows such dynamic switches if OS told application how many it could – we use short-lived NOT long runn[r] ...
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Distributed and Parallel Programming Environments and their performance
... All three implementations perform the same Kmeans clustering algorithm Each test is performed using 5 compute nodes Total of 40 processor cores CGL-MapReduce shows a performance close to[r] ...
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Introducing Tetra: An Educational Parallel Programming System
... Most debuggers provide some support for debugging parallel code, but lack the ability to step through threads totally independently... Future Work[r] ...
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Portable Parallel Programming on Cloud and HPC: Scientific Applications of Twister4Azure
... The Twister[8] iterative MapReduce framework is an expansion of the traditional MapReduce programming mod- el, which supports traditional as well as iterative MapRe- duce data-intensive computations. Twister ...
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