Search Results - data parallel algorithms

Parallel Data Partitioning Algorithms for Optimization of Data-Parallel Applications on Modern Extreme-Scale Multicore Platforms for Performance and Energy by Manumachu, Ravi Reddy, Lastovetsky, Alexey

“…Data partitioning algorithms aiming to minimize the execution time and the energy of computations in self-adaptable data-parallel applications on modern extreme-scale multicore platforms must address…”
Get full text

Multilevel Data Processing Using Parallel Algorithms for Analyzing Big Data in High-Performance Computing by Ahmad, Awais, Paul, Anand, Din, Sadia, Rathore, M. Mazhar, Choi, Gyu Sang, Jeon, Gwanggil

“…The growing gap between users and the Big Data analytics requires innovative tools that address the challenges faced by big data volume, variety, and velocity…”
Get full text

Performance evaluation of model‐driven partitioning algorithms for data‐parallel kernels on heterogeneous platforms by Rico‐Gallego, Juan A., Díaz‐Martín, Juan C., Moreno‐Álvarez, Sergio, Calvo‐Jurado, Carmen, García‐Zapata, Juan L.

“…Data‐ parallel applications running on heterogeneous high‐performance computing platforms require a nonuniform distribution of the workload between available processes…”
Get full text

Research on Ship Data Big Data Parallel Scheduling Algorithm Based on Cloud Computing by Li, Xin, Guo, Jingjing

“…Li, X., and Guo, J.-J., 2019. Research on ship data big data parallel scheduling algorithm based on cloud computing. In: Gong, D.; Zhu, H., and Liu, R. (eds…”
Get full text

A Spark-Based Parallel Fuzzy c -Means Segmentation Algorithm for Agricultural Image Big Data by Liu, Bin, He, Songrui, He, Dongjian, Zhang, Yin, Guizani, Mohsen

“… This paper proposes a parallel FCM segmentation algorithm based on the distributed memory computing platform Apache Spark for agricultural image big data…”
Get full text

Using Big Data-Based Neural Network Parallel Optimization Algorithm in Sports Fatigue Warning by Sun, Yudong, He, Yahui

“…; in the Reduce stage, a load balancing strategy to control the load rate (LBRLA) is proposed to achieve fast and uniform data grouping to ensure the parallelization performance of the parallel system…”
Get full text

A formalization of parallel data exchange algorithms used by numerical methods for solving partial differential equations by Samaniego, Cristóbal, Houzeaux, Guillaume

“…This paper introduces a formal framework for the data exchanges required to solve partial differential equations in a distributed memory parallel environment…”
Get full text

Parallel Algorithms for Data Digital Filtering by Yadzhak, M. S.

“…The paper proposes parallel algorithms for solving digital filtering problems of different dimensions using modern universal computers…”
Get full text

A Novel Data-Partitioning Algorithm for Performance Optimization of Data-Parallel Applications on Heterogeneous HPC Platforms by Khaleghzadeh, Hamidreza, Manumachu, Ravindranath Reddy, Lastovetsky, Alexey

“…) that have posed serious challenges to model and algorithm developers. Moreover, the accelerators feature limited main memory compared to the multicore CPU host…”
Get full text

Soft Fault Detection Algorithms for Multi-Parallel Data Streams Under the Cloud Computing by Meng, Hongbing

“…, causing the problem of low detection efficiency. A soft fault detection algorithm based on adaptive multi-parallel data stream is proposed…”
Get full text

Two-dimensional inversion of spectral induced polarization data using MPI parallel algorithm in data space by Zhang, Zhi-Yong, Tan, Han-Dong, Wang, Kun-Peng, Lin, Chang-Hong, Zhang, Bin, Xie, Mao-Bi

“…) data are the coproducts of the induced polarization (IP) and the electromagnetic induction (EMI) effects…”
Get full text

Designing a GPU-parallel algorithm for raw SAR data compression: A focus on parallel performance estimation by Romano, Diego, Lapegna, Marco, Mele, Valeria, Laccetti, Giuliano

“…When a Synthetic Aperture Radar (SAR) acquires raw data using a satellite or airborne platform, it must be transferred to the ground for further processing…”
Get full text

Parallel Data Testing Algorithm in the "algo.ubtuit.uz" System by Yusupova, Janar, Matyakubov, Marks, Rakhmonova, Nilufar, Bekjanov, Ruzimboy, Rajabov, Sherzod, Bahrom, Reyimberganov

“… This paper presents a detailed analysis of a parallel data processing platform, algo.ubtuit.uz, which is designed to enhance programming education and competition preparation…”
Get full text

Performance evaluation of model‐driven partitioning algorithms for data‐parallel kernels on heterogeneous platforms by Rico‐Gallego, Juan A., Díaz‐Martín, Juan C., Moreno‐Álvarez, Sergio, Calvo‐Jurado, Carmen, García‐Zapata, Juan L.

Get full text

A survey on parallel clustering algorithms for Big Data by Dafir, Zineb, Lamari, Yasmine, Slaoui, Said Chah

“…Data clustering is one of the most studied data mining tasks. It aims, through various methods, to discover previously unknown groups within the data sets…”
Get full text

Performance Evaluation of Simple K-Mean and Parallel K-Mean Clustering Algorithms: Big Data Business Process Management Concept by Zada, Islam, Ali, Shaukat, Khan, Inayat, Hadjouni, Myriam, Elmannai, Hela, Zeeshan, Muhammad, Serat, Ali Mohammad, Jameel, Abid

“… Clustering is one of the data extraction methods. The basic K-Mean and Parallel K-Mean partition clustering algorithms work by picking random starting centroids…”
Get full text

Parallel and distributed association rule mining in life science: A novel parallel algorithm to mine genomics data by Agapito, Giuseppe, Guzzi, Pietro Hiram, Cannataro, Mario

“…•A parallel algorithm for Association rule mining.•Association rule mining of genomics data…”
Get full text

A Parallel Random Forest Algorithm for Big Data in a Spark Cloud Computing Environment by Jianguo Chen, Kenli Li, Zhuo Tang, Bilal, Kashif, Shui Yu, Chuliang Weng, Keqin Li

“… This paper presents a Parallel Random Forest (PRF) algorithm for big data on the Apache Spark platform…”
Get full text

Parallel Selective Algorithms for Nonconvex Big Data Optimization by Facchinei, Francisco, Scutari, Gesualdo, Sagratella, Simone

“…We propose a decomposition framework for the parallel optimization of the sum of a differentiable (possibly nonconvex) function and a (block…”
Get full text

Retracted: Using Big Data-Based Neural Network Parallel Optimization Algorithm in Sports Fatigue Warning by Intelligence and Neuroscience, Computational

“…[This retracts the article DOI: 10.1155/2021/2747940.]…”
Get full text