Despite their proven advantages in science and engineering and their broad application in daily activities such as travel planning and financial planning, simulations are not widely utilized in education, particularly...
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ISBN:
(纸本)9781510810594
Despite their proven advantages in science and engineering and their broad application in daily activities such as travel planning and financial planning, simulations are not widely utilized in education, particularly at the K-12 levels. One of the main reasons is that simulation use and simulation building is reserved for expert's use and remains out of the reach to a larger audience. One potential solution is modeling and simulation as a Service (MSaaS) for education in the form of a cloud-based simulation learning environments (CSLEs). CSLEs can provide worldwide access to many people for using and building simulations as well as exposing them to STEM concepts like data capture and probability. This paper presents a roadmap for CSLEs. The roadmap, six requirements for building CSLEs, draws on insights from 1) testing a cloud-based simulation environment for education purposes with students ranging from middle school to graduate school and 2) capturing longitudinal data of simulation-building activities. Insights from the students' testing of the environment suggest that using drawings as conceptual models facilitates the transition from a real-life system to abstraction into implementation of the model. Longitudinal data capture provides the potential for identifying simulation-building habits across levels of expertise and the development of metrics and models for simulation development.
Despite their proven advantages in science and engineering and their broad application in daily activities such as travel planning and financial planning, simulations are not widely utilized in education, particularly...
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The Intel Xeon Phi coprocessor offers high parallelism on energy-efficient hardware to minimize energy consumption while maintaining performance. Dynamic frequency and voltage scaling is not accessible on the Intel Xe...
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Molecular dynamics simulations are used extensively in science and engineering. Co-Design Molecular Dynamics (CoMD) is a proxy application that reflects the workload characteristics of production molecular dynamics so...
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Molecular dynamics simulations are used extensively in science and engineering. Co-Design Molecular Dynamics (CoMD) is a proxy application that reflects the workload characteristics of production molecular dynamics software. In particular, CoMD is computationally intensive with 90+% of execution time spent to calculate inter-atomic force potentials. Hence, this application is an ideal candidate for acceleration with the Intel Xeon Phi because it has high theoretical computational performance with low energy consumption. In this work, the kernel computing Embedded Atom model (EAM) forces is adapted to utilize the Intel Xeon Phi acceleration. Performance and energy are measured in the experiments that vary thread affinity, thread count, problem size, node count, and the number of Xeon Phi's per node. Dynamic voltage and frequency scaling (DVFS) is used to reduce host-side power draw during Xeon Phi accelerated phases of the application. Test results are compared against the original (host-only) implementation that uses multithreading, and energy savings as high as 30% are observed.
This paper presents a new method for mesh color sharpening using the discrete Laplace-Beltrami operator, which is an approximation of second order derivatives on irregular 3D meshes. The one-ring neighborhood is utili...
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ISBN:
(纸本)9781479970896
This paper presents a new method for mesh color sharpening using the discrete Laplace-Beltrami operator, which is an approximation of second order derivatives on irregular 3D meshes. The one-ring neighborhood is utilized to compute the Laplace-Beltrami operator. The color for each vertex is updated by adding the Laplace-Beltrami operator of the vertex color weighted by a factor to its original value. Different discretizations of the Laplace-Beltrami operator have been proposed for geometrical processing of 3D meshes. This paper utilizes several discretizations of the Laplace-Beltrami operator for sharpening 3D mesh colors and compares their performance. Experimental results demonstrated the effectiveness of the proposed algorithms.
Colorado is generating its electricity mostly from coal, the most inexpensive electricity generation resource, and natural gas since the state has rich and vast reserves in a regulated electricity market. However, the...
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ISBN:
(纸本)9780983762430
Colorado is generating its electricity mostly from coal, the most inexpensive electricity generation resource, and natural gas since the state has rich and vast reserves in a regulated electricity market. However, these resources are affecting environmental sustainability in a negative way. Due to the rich renewable energy profile of the state along with the recent state legislation which forces investor owned electricity utilities to produce at least 30% out of renewables by 2020, investors face the problem of how to make investments and how these investments affect the CO2 emissions. In this study, an electricity market model for the state of Colorado is developed in order to analyze the investment decision dynamics and effects on long-term CO2 emissions in the state.
Recent studies show that the market share of smartphones continues to grow with over 60 percent U.S. mobile subscribers owning smartphones as of December 2013. Smartphones have matured as a computing platform and are ...
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Recent studies show that the market share of smartphones continues to grow with over 60 percent U.S. mobile subscribers owning smartphones as of December 2013. Smartphones have matured as a computing platform and are now equipped with multiple low-energy sensors including gyroscope, compass, accelerometer, proximity sensor, and ambient light sensor. Even though researchers used data from cell phones before, they relied on GPS which has the disadvantages of low accuracy in urban canyons and depleting the phone battery quickly. In this paper, we use accelerometer data for inferring whether a vehicle is in motion or stopping (e.g., at a traffic light). Pattern recognition models are developed and tested with data collected from the field. The results show that stops can be effectively identified, with a limited number of false alarms. The developed techniques can support various applications including traffic monitoring, signal timing optimization, and emission prediction.
Agent-based modeling (ABM) approach is used to reassess the Barabasi-Albert (BA) model, the classical algorithm used to describe the emergent mechanism of scale-free networks. This approach allows for the incorporatio...
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ISBN:
(纸本)9781479974870
Agent-based modeling (ABM) approach is used to reassess the Barabasi-Albert (BA) model, the classical algorithm used to describe the emergent mechanism of scale-free networks. This approach allows for the incorporation of agent heterogeneity which is rarely considered in BA model and its extended models. The authors argue that, in social networks, people's intention to connect is not only affected by popularity, but also strongly affected by the extent of similarity. The authors propose that in forming social networks, agents are constantly balancing between instrumental and intrinsic preferences. The proposed model allows for varying the weighting of instrumental and intrinsic preferences on the agents attachment choices. The authors also find that changing preferences of individuals can lead to significant deviations from power-law degree distribution. Given the importance of intrinsic consideration in social networking, the findings emerged from this study is conducive to future studies of social networks.
In this paper, we investigate the implementation of the Block Conjugate Gradient (BCG) algorithm on CPU-GPU processors. By analyzing the performance of various matrix operations in BCG, we identify the main performanc...
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In this paper, we investigate the implementation of the Block Conjugate Gradient (BCG) algorithm on CPU-GPU processors. By analyzing the performance of various matrix operations in BCG, we identify the main performance bottleneck in constructing new search direction matrices. Replacing the QR decomposition by eigendecomposition of a small matrix remedies the problem by reducing the computational cost of generating orthogonal search directions. Moreover, a hybrid (offload) computing scheme is designed to enables the BCG implementation to handle linear systems with large, sparse coefficient matrices that cannot fit in the GPU memory. The hybrid scheme offloads matrix operations to GPU processors while helps hide the CPU-GPU memory transaction overhead. We compare the performance of our BCG implementation with the one on CPU with Intel Xeon Phi coprocessors using the automatic offload mode. With sufficient number of right hand sides, the CPU-GPU implementation of BCG can reach speedup of 2.61 over the CPU-only implementation, which is significantly higher than that of the CPU-Intel Xeon Phi implementation.
Dental implantation is now recognized as a standard of care for replacing missing teeth. Pre-operative planning with patient-specific images provides the basis for precise surgery, but such accuracy is hampered to som...
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