GStream: A General-Purpose Data Streaming Framework on GPU Clusters

Purpose The purpose of this paper is to investigate possibilities to adopt state-of-the-art computer graphics technologies for big data visualization in engineering applications. Toward this purpose, a conceptual heterogeneous system is proposed for graphical rendering, which is established with multiple central processing unit cores and multiple graphics processing unit GPUs. Design/methodology/approach The design of the system supports both general-purpose computation and graphics-related computation. Three processing components are discussed to fulfill the execution requirements in load balancing, data streaming and display. This design fully uses computational and memory resources and enhances the performance with the support of GPU-based parallelization. Findings The advantages and disadvantages of particular technical methods for each processing component are discussed. The possible ways to integrate them are analyzed. Originality/value This work has contributions of using computer graphics technologies in engineering applications.

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StreamMAP: Automatic Task Assignment System on GPU Cluster

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.926-930.2414 ◽

2014 ◽

Vol 926-930 ◽

pp. 2414-2417

Author(s):

Chong Chong Sheng ◽

Wei Song Hu ◽

Xin Ming Hu ◽

Bai Feng Wu

Keyword(s):

High Performance ◽

Programming Model ◽

Task Assignment ◽

General Purpose ◽

Detailed Knowledge ◽

Gpu Cluster ◽

Resource Information ◽

Language Extension ◽

Gpu Clusters ◽

And Performance

GPU Clusters which use General-Purpose GPUs (GPGPUs) as accelerators are becoming more and more popular in high performance computing area. Currently the mainly used programming model for GPU cluster is hybrid MPI/CUDA. However, when using this model, programmers tend to need detailed knowledge of the hardware resources, which makes the program more complicated and less portable. In this paper, we present StreamMAP, an automatic task assignment system on GPU Clusters. The main contributions of StreamMAP are (1) It provides powerful yet concise language extension suitable to describe the computing resource demands of cluster tasks. (2) It maintains resource information and implements automatic task assignment for GPU Cluster. Experiments show that StreamMAP provides programmability, portability and performance gains.

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Comparison of the capabilities of GPU clusters and general-purpose supercomputers for solving 3D inverse problems of ultrasound tomography

Journal of Parallel and Distributed Computing ◽

10.1016/j.jpdc.2019.06.008 ◽

2019 ◽

Vol 133 ◽

pp. 77-92 ◽

Cited By ~ 2

Author(s):

A.V. Goncharsky ◽

S.Yu. Romanov ◽

S.Yu. Seryozhnikov

Keyword(s):

Inverse Problems ◽

General Purpose ◽

Ultrasound Tomography ◽

Gpu Clusters

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The economics of selection of mail orders Drs. Zahavi and Levin are the masterminds behind the development of AMOS, a customized predictive modeling system for the Franklin Mint in Philadelphia, and GainSmarts, a general purpose data mining system that is the two-time winner of the KDD-CUP competition for the best data mining tools (1997 and 1998) sponsored by the American Association for Artificial Intelligence.

Journal of Interactive Marketing ◽

10.1002/dir.1016.abs ◽

2001 ◽

Vol 15 (3) ◽

pp. 53

Author(s):

Nissan Levin ◽

Jacob Zahavi

Keyword(s):

Artificial Intelligence ◽

Data Mining ◽

Predictive Modeling ◽

American Association ◽

General Purpose ◽

Mining System ◽

Data Mining System ◽

Mining Tools ◽

Selection Of

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Use of an interactive general-purpose computer terminal to simulate training equipment operation.

PsycEXTRA Dataset ◽

10.1037/e441802004-001 ◽

1975 ◽

Cited By ~ 1

Author(s):

George F. Lahey ◽

Alice M. Crawford ◽

Richard E. Hurlock

Keyword(s):

General Purpose ◽

Computer Terminal ◽

Equipment Operation ◽

General Purpose Computer ◽

Purpose Computer

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The general purpose design of 2-dimensional recursive digital filters

IEE Proceedings G (Electronic Circuits and Systems) ◽

10.1049/ip-g-1.1983.0032 ◽

1983 ◽

Vol 130 (5) ◽

pp. 171 ◽

Cited By ~ 1

Author(s):

G. Crebbin ◽

J. Attikiouzel

Keyword(s):

Digital Filters ◽

General Purpose ◽

Recursive Digital Filters

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PENGARUH LATIHAN RANGE OF MOTION (ROM) AKTIF ASSITIF TERHADAP RENTANG GERAK SENDI PADA LANSIA YANG MENGALAMI IMMOBILISASI FISIK

Surya Medika: Jurnal Ilmiah Ilmu Keperawatan dan Ilmu Kesehatan Masyarakat ◽

10.32504/sm.v13i2.116 ◽

2019 ◽

Vol 13 (2) ◽

Author(s):

Andri Setyorini ◽

Niken Setyaningrum

Keyword(s):

Range Of Motion ◽

Human Life ◽

The Elderly ◽

General Purpose ◽

Test Statistic ◽

Physical Mobility ◽

Motion Exercise ◽

The One ◽

The Individual ◽

Active Training

Background: Elderly is the final stage of the human life cycle, that is part of the inevitable life process and will be experienced by every individual. At this stage the individual undergoes many changes both physically and mentally, especially setbacks in various functions and abilities he once had. Preliminary study in Social House Tresna Wreda Yogyakarta Budhi Luhur Units there are 16 elderly who experience physical immobilization. In the social house has done various activities for the elderly are still active, but the elderly who experienced muscle weakness is not able to follow the exercise, so it needs to do ROM (Range Of Motion) exercise. Objective: The general purpose of this research is to know the effect of Range Of Motion (ROM) Active Assitif training to increase the range of motion of joints in elderly who experience physical immobility at Social House of Tresna Werdha Yogyakarta unit Budhi Luhur. Methode: This study was included in the type of pre-experiment, using the One Group Pretest Posttest design in which the range of motion of the joints before (pretest) and posttest (ROM) was performed ROM. Subjects in this study were all elderly with impaired physical mobility in Social House Tresna Wreda Yogyakarta Unit Budhi Luhur a number of 14 elderly people. Data analysis in this research use paired sample t-test statistic Result: The result of this research shows that there is influence of ROM (Range of Motion) Active training to increase of range of motion of joints in elderly who experience physical immobility at Social House Tresna Wredha Yogyakarta Unit Budhi Luhur. Conclusion: There is influence of ROM (Range of Motion) Active training to increase of range of motion of joints in elderly who experience physical immobility at Social House Tresna Wredha Yogyakarta Unit Budhi Luhur.

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A Review on Big Data Analytics in Business

International Journal of Scientific Research in Science Engineering and Technology ◽

10.32628/ijsrset21841130 ◽

2018 ◽

pp. 210-214

Author(s):

Manbir Sandhu ◽

Purnima, Anuradha Saini

Keyword(s):

Big Data ◽

Big Data Analytics ◽

Smart Devices ◽

Data Streaming ◽

Huge Amount ◽

Business Units ◽

Enormous Amount ◽

Tools And Techniques ◽

Heath Care ◽

Data Analytic

Big data is a fast-growing technology that has the scope to mine huge amount of data to be used in various analytic applications. With large amount of data streaming in from a myriad of sources: social media, online transactions and ubiquity of smart devices, Big Data is practically garnering attention across all stakeholders from academics, banking, government, heath care, manufacturing and retail. Big Data refers to an enormous amount of data generated from disparate sources along with data analytic techniques to examine this voluminous data for predictive trends and patterns, to exploit new growth opportunities, to gain insight, to make informed decisions and optimize processes. Data-driven decision making is the essence of business establishments. The explosive growth of data is steering the business units to tap the potential of Big Data to achieve fueling growth and to achieve a cutting edge over their competitors. The overwhelming generation of data brings with it, its share of concerns. This paper discusses the concept of Big Data, its characteristics, the tools and techniques deployed by organizations to harness the power of Big Data and the daunting issues that hinder the adoption of Business Intelligence in Big Data strategies in organizations.

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