[PDF] Top 20 MEMORY-BASED MULTI-PROCESSING METHOD FOR BIG DATA COMPUTATION
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MEMORY-BASED MULTI-PROCESSING METHOD FOR BIG DATA COMPUTATION
... Essentially, multi-processing, also known as parallel processing, is the use of two or more central processing units or cores within a single computer system to execute multiple computational ... See full document
6
GPU Based FFT Computation for Multi Gigabit WirelessHD Baseband Processing
... FFT computation for the WirelessHD ...instance, memory transfer, into ...on data which resides in GPU memory. They added when the data must be transferred between GPU and system ... See full document
13
Processing the Query in Memory Management System Using Scheduling Techniques in Big Data
... Multistage DA Algorithm. In online scheduling the decisions regarding how to schedule tasks are done during the runtime of the system. The scheduling decisions are based on the tasks priorities which are either ... See full document
5
Big Data Processing Method for Detection of Abnormity of Electric Meter
... term memory (LSTM) model has certain advantages in dealing with timing ...values based on past values and past predicted values rather than using discrete features such as season ...The method leads ... See full document
5
IN-MEMORY BIG DATA MANAGEMENT
... streaming processing and distributed stream processing ...for processing continuous unbounded streams of data [2]. Computation is performed by processing elements (PEs) which are ... See full document
6
SBKMMA: Sorting Based K Means and Median Based Clustering Algorithm Using Multi Machine Technique for Big Data
... enhanced method of the k-means algorithm includes the computation of the average of objects to improve the centroids ...new method of selecting initial centroids is better in terms of mathematical ... See full document
7
A novel approach for big data processing using message passing interface based on memory mapping
... a big file, R as the data bit rate = 1 Gbps, P = {p1, p2, p3, …} as a number of (message passing) processes that run in parallel, and let’s consider T as the execution time of data ...simply ... See full document
17
Co processing SPMD Computation on GPUs and CPUs on Shared Memory System
... Region-based memory management [20] is a type of memory management in which each allocated object is assigned to a region, which, typically, is a single contiguous range of memory ...global ... See full document
13
A review data cube analysis method in big data environment
... computer processing that enables a user to easily and selectively extract and view data from different point of ...OLAP data are stored in multidimensional ...software based on the number of ... See full document
8
Natural Language Processing on Big Data
... unstructured data has focused on Text Mining, Information Retrieval and topic classification ...textual data provided by Web users represents one of the most useful and interesting sources of unstructured ... See full document
8
Article on Grid Computing Architecture and Benefits
... the processing power for data ...support big data management and processing certain requirements based on big data concept have to be ...space, processing ... See full document
5
Big Data and Cloud Computing: Challenges and Issues in Present Era
... and big data are conjoined. Big data provides users the ability to use commodity computing to process distributed queries across multiple datasets and return resultant sets in a timely ... See full document
8
Research on financial network big data processing technology based on fireworks algorithm
... mainly, based on the data warehouse, model base, and knowledge base of venture capital, put the quantitative analysis model of investment factors, risk prediction model, and invest- ment risk assessment ... See full document
11
Classification Of High Dimensional Big Data In Distributed Computing Environment Using Fusion Based Learning
... Big Data, with its multi-model, high-dimensional and heterogeneous features, can portray a certain item from distinct attributes or viewpoints[2],[11] the search for loud and redundant data in ... See full document
10
Survey on Big Data Mining Algorithms
... G. Data privacy issues Data privacy has been always a serious issue right from the beginning of Data mining ...with big data mining that often needs personal information in order to ... See full document
5
Scheme of Big Data Supported Interactive Evolutionary Computation
... and multi-dimensional preference evaluation data, including fuzzy type evaluation [5], accurately numeric type evaluation [6], rank type evaluation [7], eye-tracked evaluation [8], interval type evaluation ... See full document
6
Big Data and High-Performance Technologies for Natural Computation
... • Supercomputers will continue for large simulations and may run other applications but these codes will be developed on HPC Clouds or • Next-Generation Commodity Systems which are domin[r] ... See full document
45
Efficient clustering of big data using graph method
... The data mining process is to extract the information from a large data set and transform the extracted data into an understandable structure for further ...exploratory data analysis and ... See full document
5
Cloud based Smart Grid Architecturefor Secured Big Data Information Management
... Here, a secure CC based FWK for BGIM in SGs, which called “Smart-Frame,” proposed. The initialidea of this C- SGAFWK is to construct a hierarchical model of CC centers to ensurevarious types of CC services for IM ... See full document
5
Hybrid Multi Resolution Method of Image Fusion for Medical Image Processing
... of multi scale expansions implemented with filter banks, dropping the basis requirement offers the possibility of an expansion that is shift-invariant, a crucial property in a number of ... See full document
5
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