scholarly journals Developing Efficient Discrete Simulations on Multi-Core and GPU Architectures

2019 ◽  
Author(s):  
Daniel Cagigas-Muñiz ◽  
Fernando Diaz-del-Rio ◽  
M.R. López-Torres ◽  
F. Jiménez-Morales ◽  
J.L. Guisado
Keyword(s):  
Target Market ◽  
Large Core ◽  
Excellent Performance ◽  
Market Segments ◽  
Cellular Automata Model ◽  
Laser Dynamics ◽  
Gpu Architectures ◽  
Performance Results ◽  
Hardware Platforms ◽  
A Performance

In this paper we show how to efficiently implement parallel discrete simulations on Multi-Core and GPU architectures through a real example of application: a cellular automata model of laser dynamics. We describe the techniques employed to build and optimize the implementations using OpenMP and CUDA frameworks. We have evaluated the performance on two different hardware platforms that represent different target market segments: high-end platforms for scientific computing, using an Intel Xeon Platinum 8259CL server with48cores and also an NVIDIA Tesla6V100 GPU, both running on Amazon Web Server (AWS) Cloud, and on a consumer-oriented platform, using an Intel Core i9 9900k CPU and an NVIDIA GeForce GTX 1050 TI GPU. Performance results are compared and analysed in detail. We show that excellent performance and scalability can be obtained in both platforms, and we extract some important issues that imply a performance degradation for them. We also found that current Multi-Core CPUs with large core numbers can bring a performance very near to that of GPUs, even similar in some cases.

scholarly journals Developing Efficient Discrete Simulations on Multicore and GPU Architectures

Electronics ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 189
Author(s):  
Daniel Cagigas-Muñiz ◽  
Fernando Diaz-del-Rio ◽  
Manuel Ramón López-Torres ◽  
Francisco Jiménez-Morales ◽  
José Luis Guisado
Keyword(s):  
Target Market ◽  
Large Core ◽  
Excellent Performance ◽  
Market Segments ◽  
Cellular Automata Model ◽  
Laser Dynamics ◽  
Gpu Architectures ◽  
Performance Results ◽  
Hardware Platforms ◽  
A Performance

In this paper we show how to efficiently implement parallel discrete simulations on multicore and GPU architectures through a real example of an application: a cellular automata model of laser dynamics. We describe the techniques employed to build and optimize the implementations using OpenMP and CUDA frameworks. We have evaluated the performance on two different hardware platforms that represent different target market segments: high-end platforms for scientific computing, using an Intel Xeon Platinum 8259CL server with 48 cores, and also an NVIDIA Tesla V100 GPU, both running on Amazon Web Server (AWS) Cloud; and on a consumer-oriented platform, using an Intel Core i9 9900k CPU and an NVIDIA GeForce GTX 1050 TI GPU. Performance results were compared and analyzed in detail. We show that excellent performance and scalability can be obtained in both platforms, and we extract some important issues that imply a performance degradation for them. We also found that current multicore CPUs with large core numbers can bring a performance very near to that of GPUs, and even identical in some cases.

Self-reference bias in students' and managers' selection of target market segments

2017 ◽  
Vol 15 (1) ◽  
pp. 39-48
Author(s):  
Luke Greenacre ◽  
Victoria Jaeger ◽  
James Martin ◽  
Sarah Patrick ◽  
Yolanda Nguyen ◽  
...  
Keyword(s):  
Target Market ◽  
Market Segments ◽  
Reference Bias ◽  
Self Reference ◽  
Selection Of

scholarly journals Canyons and gorges as potential geotourism destinations in Serbia: comparative analysis from two perspectives – general geotourists’ and pure geotourists’

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Sanja Božić ◽  
Nemanja Tomić
Keyword(s):  
Management Strategy ◽  
Assessment Process ◽  
Target Market ◽  
Market Segments ◽  
Tourism Management ◽  
Current State ◽  
The World ◽  
The Matrix ◽  
Geosite Assessment ◽  
Tourism Potential

AbstractSerbia represents one of those countries which have not yet differentiated themselves on the world tourism map. However, it has an immense but still unrevealed potential for geotourism development. In this paper we analyzed several remarkable canyons and gorges of great scientific importance and geotourism potential. These sites include the Djerdap Gorge and Lazar River Canyon, located in Eastern Serbia and the Ovcar-Kablar Gorge and Uvac Canyon located in Western Serbia. One of the main goals of this paper was to analyze and compare the current state and tourism potential of these geosites by using the M-GAM model for geosite assessment. However, the principal aim of the paper is to analyze how important is each subindicator in the assessment process for different market segments. In this paper, we also analyzed how giving different importance to subindicators can influence the position of the geosites in the matrix indicating different assessment done by two chosen market segments. The research showed that general geotourists appreciate considerably different values when assessing a geosite in comparison to pure geotourists. The paper can be used as framework for developing the tourism management strategy of geosites taking into consideration the needs and preferences of the target market segments.

scholarly journals Chương 4 Phân khúc & lựa chọn thị trường mục tiêu (selecting target market segments)

2021 ◽  
Author(s):  
Dao Duy Tung
Keyword(s):  
Target Market ◽  
Market Segments

dividing up markets into meaningful customer groups, choosing which customer groups to serve, creating market offerings that best serve targeted customers, and positioning the offerings in the minds of consumers.

scholarly journals The Spatial Distribution, Influencing Factors, and Development Path of Inbound Tourism in China—An Empirical Analysis of Market Segments Based on Travel Motivation

2020 ◽  
Vol 12 (6) ◽  
pp. 2508 ◽  
Author(s):  
Heping Huang ◽  
Wei Zhong ◽  
Qingsheng Lai ◽  
Yishu Qiu ◽  
Hong Jiang
Keyword(s):  
Spatial Distribution ◽  
Empirical Analysis ◽  
Influencing Factors ◽  
Consumer Price Index ◽  
Target Market ◽  
Market Segments ◽  
Sports Culture ◽  
Travel Motivation ◽  
Resource Endowment ◽  
Inbound Tourism

According to China’s tourism statistics, the inbound tourism market is composed of eight types of travel motivations (sightseeing, leisure, business meeting (business-m), visiting relatives and friends (visiting-rf), shopping, religious worship (religious-w), culture and sports (culture-s), and health care (health-c)), and the spatial distribution of each type of travel motivation is significantly different. Four inbound sub-markets (foreigners, Hong Kong, Macao, and Taiwan) were selected as our research object. Through empirical analysis of the variable elasticity of eight different inbound motive market segments, we found that the sensitivities (elasticity) of the influencing factors (traffic conditions (traffic-c), destination image (destination-i), industry structure (industry-s), infrastructure, consumer price index (CPI), resource endowment (resource-e), and dressing index (ICL)) are different. Therefore, investment options in the target market can have differential treatment based on the rate of marginal return on investment. In accordance with the characteristics of different market segments, we suggest more feasible development paths and countermeasures, providing a decision-making basis for the accurate development of the inbound tourism market.

scholarly journals The effect of the season on incidence of footpad dermatitis and its effect on broilers performance

2013 ◽  
Vol 61 (6) ◽  
pp. 1793-1798 ◽  
Author(s):  
Anna Musilová ◽  
Martina Lichovníková ◽  
David Hampel ◽  
Alena Przywarová
Keyword(s):  
Production Efficiency ◽  
Efficiency Factor ◽  
Feed Consumption ◽  
Daily Mortality ◽  
Severe Damage ◽  
Point Scale ◽  
Excellent Performance ◽  
Severe Problem ◽  
Performance Results ◽  
European Production

The aim of the study was to evaluate the effect of the season on incidence of footpad dermatitis and to determine the effect of footpad dermatitis on broilers performance expressed by EPEF (European Production Efficiency Factor). The incidence of footpad dermatitis was evaluated during the year. Daily mortality, weights and feed consumption were observed too. Scoring of the feet was done in slaughterhouse according to six-point scale (0–5) Ask (2010). There were classified between 1200 to 1500 shanks from each flock. To facilitate the evaluation of the feet damage the numbers in scoring groups were summarized as follows: negligible damage (0+1), intermediate damage (2+3) and severe damage (4+5). The highest incidence of negligible damage was found in the summer (34.0%, P < 0.05) followed by autumn (13.1%). The most severe damage of the feet was found in the spring (83.2%) followed by winter (72.4%). Only 12% of the feet were negligibly damaged. Almost 70% of the feet were severe damaged. The significant correlation between the feet damage and EPEF was not confirmed (P > 0.05). The study showed that footpad dermatitis is a severe problem. However chickens with severe feet damage were able to achieve excellent performance results.

scholarly journals Semantic Segmentation of Eye Fundus Images Using Convolutional Neural Networks

2019 ◽  
Vol 85 ◽  
pp. 135-147
Author(s):  
Ričardas Toliušis ◽  
Olga Kurasova ◽  
Jolita Bernatavičienė
Keyword(s):  
Neural Networks ◽  
Diabetic Retinopathy ◽  
Macular Degeneration ◽  
Convolutional Neural Networks ◽  
Semantic Segmentation ◽  
Optical Disk ◽  
Fundus Images ◽  
Excellent Performance ◽  
Segmentation Algorithms ◽  
Performance Results

This article reviews the problems of eye bottom fundus analysis and semantic segmentation algorithms used to distinguish the eye vessels and the optical disk. Various diseases, such as glaucoma, hypertension, diabetic retinopathy, macular degeneration, etc., can be diagnosed through changes and anomalies of the vesssels and optical disk. Convolutional neural networks, especially the U-Net architecture, are well-suited for semantic segmentation. A number of U-Net modifications have been recently developed that deliver excellent performance results.

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