Results 81 to 90 of about 27,095 (213)
IEEE AccessWith the growing popularity of FPGA-based accelerators in HPC applications, new challenges have emerged, particularly in terms of programming and portability. This paper provides an overview of the current state of FPGA tools and their limitations.
Manuel De Castro +5 more
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On the Use of Data Parallelism Technologies for Implementing Statistical Analysis Functions
This study presents a comparative analysis of data parallelism technologies for implementing statistical analysis functions using the Apache Spark big data processing framework. As data volume and complexity continues to grow exponentially, selecting the
Oskooei, Amirkia Rafiei
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A programming model for massive data parallelism with data dependencies
, 2009 Accelerating processors can often be more cost and en-ergy effective for a wide range of data-parallel computing problems than general-purpose processors.
Yongpeng Zhang +3 more
core
Simultaneous exploitation of task and data parallelism in regular scientific applications
, 1996 Distributed Memory Multicomputers (DMMs) such as the IBM SP-2, the Intel Paragon and the Thinking Machines CM-5 offer significant advantages over shared memory multiprocessors in terms of cost and scalability.
Ramaswamy, Shankar
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Enhancing data parallelism for Ant Colony Optimization on GPUs
, 2013 Graphics Processing Units (GPUs) have evolved into highly parallel and fully programmable architecture over the past five years, and the advent of CUDA has facilitated their application to many real-world applications.
Ujaldón, Manuel +9 more
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Научно-технический вестник информационных технологий, механики и оптикиSocial media contains a huge amount of data that is used by various organizations to study people’s emotions, thoughts and opinions. Users often use emoticons and emojis in addition to words to express their opinions on a topic.
S. Jini Starlin, N. Indra Chenthalir
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Implementation of a Portable Runtime System Supporting Mixed Task and Data Parallelism
, 2007 This paper describes the portable implementation of a programming model based on shared objects that integrates task and data parallelism. As a starting point, the implementation uses two existing runtime systems: the Orca runtime system (RTS), for task ...
Ceriel J.H. Jacobs +4 more
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High-Performance Hybrid Algorithm for Minimum Sum-of-Squares Clustering of Infinitely Tall Data
MathematicsThis paper introduces a novel formulation of the clustering problem, namely, the minimum sum-of-squares clustering of infinitely tall data (MSSC-ITD), and presents HPClust, an innovative set of hybrid parallel approaches for its effective solution.
Ravil Mussabayev, Rustam Mussabayev
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Renewed Hope for Data Parallelism: Unintegrated Support for Task Parallelism in ZPL
, 2003 This paper suggests that data parallelism is more general than previously thought and that integrating support for task parallelism into a data parallel programming language is a mistake.
Steven J. Deitz
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The application of improved densenet algorithm in accurate image recognition
Scientific ReportsImage recognition technology belongs to an important research field of artificial intelligence. In order to enhance the application value of image recognition technology in the field of computer vision and improve the technical dilemma of image ...
Yuntao Hou +3 more
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