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You searched for +publisher:"Texas A&M University" +contributor:("Amato, Nancy M."). Showing records 1 – 30 of 54 total matches.

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Texas A&M University

1. Hoxha, Dielli. Sparse Matrices and Summa Matrix Multiplication Algorithm in STAPL Matrix Framework.

Degree: MS, Computer Engineering, 2016, Texas A&M University

 Applications of matrices are found in most scientific fields, such as physics, computer graphics, numerical analysis, etc. The high applicability of matrix algorithms and representations… (more)

Subjects/Keywords: Parallel Computing; Sparse Matrix

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APA (6th Edition):

Hoxha, D. (2016). Sparse Matrices and Summa Matrix Multiplication Algorithm in STAPL Matrix Framework. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/157157

Chicago Manual of Style (16th Edition):

Hoxha, Dielli. “Sparse Matrices and Summa Matrix Multiplication Algorithm in STAPL Matrix Framework.” 2016. Masters Thesis, Texas A&M University. Accessed January 18, 2021. http://hdl.handle.net/1969.1/157157.

MLA Handbook (7th Edition):

Hoxha, Dielli. “Sparse Matrices and Summa Matrix Multiplication Algorithm in STAPL Matrix Framework.” 2016. Web. 18 Jan 2021.

Vancouver:

Hoxha D. Sparse Matrices and Summa Matrix Multiplication Algorithm in STAPL Matrix Framework. [Internet] [Masters thesis]. Texas A&M University; 2016. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/1969.1/157157.

Council of Science Editors:

Hoxha D. Sparse Matrices and Summa Matrix Multiplication Algorithm in STAPL Matrix Framework. [Masters Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/157157


Texas A&M University

2. Nath, Shuvra Kanti. Multi-directional Rapidly Exploring Random Graph (mRRG) for Motion Planning.

Degree: MS, Computer Science, 2013, Texas A&M University

 The motion planning problem in robotics is to find a valid sequence of motions taking some movable object from a start configuration to a goal… (more)

Subjects/Keywords: Motion Planning; RRT; RRG; Protein Folding

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APA (6th Edition):

Nath, S. K. (2013). Multi-directional Rapidly Exploring Random Graph (mRRG) for Motion Planning. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/151658

Chicago Manual of Style (16th Edition):

Nath, Shuvra Kanti. “Multi-directional Rapidly Exploring Random Graph (mRRG) for Motion Planning.” 2013. Masters Thesis, Texas A&M University. Accessed January 18, 2021. http://hdl.handle.net/1969.1/151658.

MLA Handbook (7th Edition):

Nath, Shuvra Kanti. “Multi-directional Rapidly Exploring Random Graph (mRRG) for Motion Planning.” 2013. Web. 18 Jan 2021.

Vancouver:

Nath SK. Multi-directional Rapidly Exploring Random Graph (mRRG) for Motion Planning. [Internet] [Masters thesis]. Texas A&M University; 2013. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/1969.1/151658.

Council of Science Editors:

Nath SK. Multi-directional Rapidly Exploring Random Graph (mRRG) for Motion Planning. [Masters Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/151658


Texas A&M University

3. Harshvardhan. Algorithm-Level Optimizations for Scalable Parallel Graph Processing.

Degree: PhD, Computer Science, 2018, Texas A&M University

 Efficiently processing large graphs is challenging, since parallel graph algorithms suffer from poor scalability and performance due to many factors, including heavy communication and load-imbalance.… (more)

Subjects/Keywords: Graph Processing; Distributed Systems; Graph Algorithms; High Performance Computing; Parallel Graph Algorithms; Scalable Graph Algorithms; Distributed Graph Processing Systems; Large-scale Graph Processing

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APA (6th Edition):

Harshvardhan. (2018). Algorithm-Level Optimizations for Scalable Parallel Graph Processing. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173407

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

Harshvardhan. “Algorithm-Level Optimizations for Scalable Parallel Graph Processing.” 2018. Doctoral Dissertation, Texas A&M University. Accessed January 18, 2021. http://hdl.handle.net/1969.1/173407.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

Harshvardhan. “Algorithm-Level Optimizations for Scalable Parallel Graph Processing.” 2018. Web. 18 Jan 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

Harshvardhan. Algorithm-Level Optimizations for Scalable Parallel Graph Processing. [Internet] [Doctoral dissertation]. Texas A&M University; 2018. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/1969.1/173407.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

Harshvardhan. Algorithm-Level Optimizations for Scalable Parallel Graph Processing. [Doctoral Dissertation]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/173407

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


Texas A&M University

4. Mishra, Saurabh. A Task Hand-Off Framework for Multi-Robot Systems.

Degree: MS, Computer Science, 2018, Texas A&M University

 Multi-robot systems have many uses such as cleaning, exploration, search and rescue. These robots operate under constraints such as communication, battery etc. In this thesis,… (more)

Subjects/Keywords: Multi-Robot Systems; Task Hand-Off; Resource Constraint

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APA (6th Edition):

Mishra, S. (2018). A Task Hand-Off Framework for Multi-Robot Systems. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173330

Chicago Manual of Style (16th Edition):

Mishra, Saurabh. “A Task Hand-Off Framework for Multi-Robot Systems.” 2018. Masters Thesis, Texas A&M University. Accessed January 18, 2021. http://hdl.handle.net/1969.1/173330.

MLA Handbook (7th Edition):

Mishra, Saurabh. “A Task Hand-Off Framework for Multi-Robot Systems.” 2018. Web. 18 Jan 2021.

Vancouver:

Mishra S. A Task Hand-Off Framework for Multi-Robot Systems. [Internet] [Masters thesis]. Texas A&M University; 2018. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/1969.1/173330.

Council of Science Editors:

Mishra S. A Task Hand-Off Framework for Multi-Robot Systems. [Masters Thesis]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/173330


Texas A&M University

5. Denny, Jory London. Collaborative Motion Planning.

Degree: PhD, Computer Science, 2016, Texas A&M University

 Planning motion is an essential component for any autonomous robotic system. An intelligent agent must be able to efficiently plan collision-free paths in order to… (more)

Subjects/Keywords: Robotics; Motion Planning; Sampling-based Motion Planning; Probabilistic Roadmaps; Rapidly-exploring Random Trees; User-guided Motion Planning; Collaborative Motion Planning; Region-based Collaborative Planning

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APA (6th Edition):

Denny, J. L. (2016). Collaborative Motion Planning. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/157715

Chicago Manual of Style (16th Edition):

Denny, Jory London. “Collaborative Motion Planning.” 2016. Doctoral Dissertation, Texas A&M University. Accessed January 18, 2021. http://hdl.handle.net/1969.1/157715.

MLA Handbook (7th Edition):

Denny, Jory London. “Collaborative Motion Planning.” 2016. Web. 18 Jan 2021.

Vancouver:

Denny JL. Collaborative Motion Planning. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/1969.1/157715.

Council of Science Editors:

Denny JL. Collaborative Motion Planning. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/157715


Texas A&M University

6. Mahadevan, Aditya. Multi-robot Caravanning.

Degree: MS, Computer Science, 2013, Texas A&M University

 We study multi-robot caravanning, which is loosely defined as the problem of a heterogeneous team of robots visiting specific areas of an environment (waypoints) as… (more)

Subjects/Keywords: Motion planning; robotics; multi-agent systems; probabilistic roadmaps; caravanning; heterogeneous robots

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APA (6th Edition):

Mahadevan, A. (2013). Multi-robot Caravanning. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/151689

Chicago Manual of Style (16th Edition):

Mahadevan, Aditya. “Multi-robot Caravanning.” 2013. Masters Thesis, Texas A&M University. Accessed January 18, 2021. http://hdl.handle.net/1969.1/151689.

MLA Handbook (7th Edition):

Mahadevan, Aditya. “Multi-robot Caravanning.” 2013. Web. 18 Jan 2021.

Vancouver:

Mahadevan A. Multi-robot Caravanning. [Internet] [Masters thesis]. Texas A&M University; 2013. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/1969.1/151689.

Council of Science Editors:

Mahadevan A. Multi-robot Caravanning. [Masters Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/151689


Texas A&M University

7. Alyabes, Abdullah Fahad. Static Load Balancing using Non-Uniform Mesh Partitioning based on Ray Density Prediction for the Parallel Wavefront Construction Method.

Degree: MS, Geophysics, 2014, Texas A&M University

 The Wavefront Construction (WFC )method, which was developed based on ray theory, is one of the most efficient tools in seismic modeling. The main idea… (more)

Subjects/Keywords: seismic modeling; seismic modelling; seismic; ray tracing; wavefront construction method; WFC; standard template adaptive parallel library; STAPL; load balancing; geophysics; high performance computing

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APA (6th Edition):

Alyabes, A. F. (2014). Static Load Balancing using Non-Uniform Mesh Partitioning based on Ray Density Prediction for the Parallel Wavefront Construction Method. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153417

Chicago Manual of Style (16th Edition):

Alyabes, Abdullah Fahad. “Static Load Balancing using Non-Uniform Mesh Partitioning based on Ray Density Prediction for the Parallel Wavefront Construction Method.” 2014. Masters Thesis, Texas A&M University. Accessed January 18, 2021. http://hdl.handle.net/1969.1/153417.

MLA Handbook (7th Edition):

Alyabes, Abdullah Fahad. “Static Load Balancing using Non-Uniform Mesh Partitioning based on Ray Density Prediction for the Parallel Wavefront Construction Method.” 2014. Web. 18 Jan 2021.

Vancouver:

Alyabes AF. Static Load Balancing using Non-Uniform Mesh Partitioning based on Ray Density Prediction for the Parallel Wavefront Construction Method. [Internet] [Masters thesis]. Texas A&M University; 2014. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/1969.1/153417.

Council of Science Editors:

Alyabes AF. Static Load Balancing using Non-Uniform Mesh Partitioning based on Ray Density Prediction for the Parallel Wavefront Construction Method. [Masters Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153417


Texas A&M University

8. Cousineau, Eric Andrew. Realizing Torque Controllers for Underactuated Bipedal Walking Using the Ideal Model Resolved Motion Method.

Degree: MS, Mechanical Engineering, 2014, Texas A&M University

 This thesis presents an application of hybrid zero dynamics to realize underactuated bipedal walking on DURUS, a testbed designed and built by SRI International. The… (more)

Subjects/Keywords: Underactuated; Bipedal; Walking; Locomotion; Robotics; Humanoid; Ideal Model; Resolved Motion Method; Hybrid Zero Dynamics; Hybrid Systems; Control; Nonlinear Control; Autonomous Walking; Human-Inspired Framework

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APA (6th Edition):

Cousineau, E. A. (2014). Realizing Torque Controllers for Underactuated Bipedal Walking Using the Ideal Model Resolved Motion Method. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/154096

Chicago Manual of Style (16th Edition):

Cousineau, Eric Andrew. “Realizing Torque Controllers for Underactuated Bipedal Walking Using the Ideal Model Resolved Motion Method.” 2014. Masters Thesis, Texas A&M University. Accessed January 18, 2021. http://hdl.handle.net/1969.1/154096.

MLA Handbook (7th Edition):

Cousineau, Eric Andrew. “Realizing Torque Controllers for Underactuated Bipedal Walking Using the Ideal Model Resolved Motion Method.” 2014. Web. 18 Jan 2021.

Vancouver:

Cousineau EA. Realizing Torque Controllers for Underactuated Bipedal Walking Using the Ideal Model Resolved Motion Method. [Internet] [Masters thesis]. Texas A&M University; 2014. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/1969.1/154096.

Council of Science Editors:

Cousineau EA. Realizing Torque Controllers for Underactuated Bipedal Walking Using the Ideal Model Resolved Motion Method. [Masters Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/154096


Texas A&M University

9. Shankar, Anusha. Lock Prediction to Reduce the Overhead of Synchronization Primitives.

Degree: MS, Computer Science, 2014, Texas A&M University

 The advent of chip multi-processors has led to an increase in computational performance in recent years. Employing efficient parallel algorithms has become important to harness… (more)

Subjects/Keywords: locks; synchronization primitives

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APA (6th Edition):

Shankar, A. (2014). Lock Prediction to Reduce the Overhead of Synchronization Primitives. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/154146

Chicago Manual of Style (16th Edition):

Shankar, Anusha. “Lock Prediction to Reduce the Overhead of Synchronization Primitives.” 2014. Masters Thesis, Texas A&M University. Accessed January 18, 2021. http://hdl.handle.net/1969.1/154146.

MLA Handbook (7th Edition):

Shankar, Anusha. “Lock Prediction to Reduce the Overhead of Synchronization Primitives.” 2014. Web. 18 Jan 2021.

Vancouver:

Shankar A. Lock Prediction to Reduce the Overhead of Synchronization Primitives. [Internet] [Masters thesis]. Texas A&M University; 2014. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/1969.1/154146.

Council of Science Editors:

Shankar A. Lock Prediction to Reduce the Overhead of Synchronization Primitives. [Masters Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/154146


Texas A&M University

10. Ghosh, Mukulika. Fast Approximate Convex Decomposition.

Degree: MS, Computer Science, 2012, Texas A&M University

 Approximate convex decomposition (ACD) is a technique that partitions an input object into "approximately convex" components. Decomposition into approximately convex pieces is both more efficient… (more)

Subjects/Keywords: Convex Decomposition; Computational Geometry

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APA (6th Edition):

Ghosh, M. (2012). Fast Approximate Convex Decomposition. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11873

Chicago Manual of Style (16th Edition):

Ghosh, Mukulika. “Fast Approximate Convex Decomposition.” 2012. Masters Thesis, Texas A&M University. Accessed January 18, 2021. http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11873.

MLA Handbook (7th Edition):

Ghosh, Mukulika. “Fast Approximate Convex Decomposition.” 2012. Web. 18 Jan 2021.

Vancouver:

Ghosh M. Fast Approximate Convex Decomposition. [Internet] [Masters thesis]. Texas A&M University; 2012. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11873.

Council of Science Editors:

Ghosh M. Fast Approximate Convex Decomposition. [Masters Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11873


Texas A&M University

11. Sharma, Shishir. Scheduling in STAPL.

Degree: MS, Computer Science, 2013, Texas A&M University

 Writing efficient parallel programs is a difficult and error-prone process. The Standard Template Adaptive Parallel Library (STAPL) is being developed to make this task easier… (more)

Subjects/Keywords: scheduling; parallel programming; library development; high performance computing

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APA (6th Edition):

Sharma, S. (2013). Scheduling in STAPL. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/149584

Chicago Manual of Style (16th Edition):

Sharma, Shishir. “Scheduling in STAPL.” 2013. Masters Thesis, Texas A&M University. Accessed January 18, 2021. http://hdl.handle.net/1969.1/149584.

MLA Handbook (7th Edition):

Sharma, Shishir. “Scheduling in STAPL.” 2013. Web. 18 Jan 2021.

Vancouver:

Sharma S. Scheduling in STAPL. [Internet] [Masters thesis]. Texas A&M University; 2013. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/1969.1/149584.

Council of Science Editors:

Sharma S. Scheduling in STAPL. [Masters Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/149584


Texas A&M University

12. Castet, Nicolas. A Parallel Graph Partitioner for STAPL.

Degree: MS, Computer Science, 2013, Texas A&M University

 Multi-core architectures are present throughout a large selection of computing devices from cell phones to super-computers. Parallel applications running on these devices solve bigger problems… (more)

Subjects/Keywords: Parallel graph partitioning; Parallel computing; STAPL; Multilevel scheme; Parallel mesh partitioning; Unstructured mesh; Discrete ordinates particle transport computations

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APA (6th Edition):

Castet, N. (2013). A Parallel Graph Partitioner for STAPL. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/149590

Chicago Manual of Style (16th Edition):

Castet, Nicolas. “A Parallel Graph Partitioner for STAPL.” 2013. Masters Thesis, Texas A&M University. Accessed January 18, 2021. http://hdl.handle.net/1969.1/149590.

MLA Handbook (7th Edition):

Castet, Nicolas. “A Parallel Graph Partitioner for STAPL.” 2013. Web. 18 Jan 2021.

Vancouver:

Castet N. A Parallel Graph Partitioner for STAPL. [Internet] [Masters thesis]. Texas A&M University; 2013. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/1969.1/149590.

Council of Science Editors:

Castet N. A Parallel Graph Partitioner for STAPL. [Masters Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/149590


Texas A&M University

13. Ghoshal, Asish. Rapidly-exploring Random Tree Inspired Multi-robot Space Coverage.

Degree: MS, Computer Science, 2012, Texas A&M University

 Inspired by the Rapidly-exploring Random Tree (RRT) data-structure and algorithm for path planning, we introduce an approach for spanning physical space with a group of… (more)

Subjects/Keywords: RRT; Multi-Robot systems; space-filling

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APA (6th Edition):

Ghoshal, A. (2012). Rapidly-exploring Random Tree Inspired Multi-robot Space Coverage. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11217

Chicago Manual of Style (16th Edition):

Ghoshal, Asish. “Rapidly-exploring Random Tree Inspired Multi-robot Space Coverage.” 2012. Masters Thesis, Texas A&M University. Accessed January 18, 2021. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11217.

MLA Handbook (7th Edition):

Ghoshal, Asish. “Rapidly-exploring Random Tree Inspired Multi-robot Space Coverage.” 2012. Web. 18 Jan 2021.

Vancouver:

Ghoshal A. Rapidly-exploring Random Tree Inspired Multi-robot Space Coverage. [Internet] [Masters thesis]. Texas A&M University; 2012. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11217.

Council of Science Editors:

Ghoshal A. Rapidly-exploring Random Tree Inspired Multi-robot Space Coverage. [Masters Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11217


Texas A&M University

14. Marsy, Vincent S. Dynamic Load Balancing in a Geophysics Application Using STAPL.

Degree: MS, Computer Science, 2015, Texas A&M University

 Seismic wavefront simulation is a common method to understand the composition of earth below the surface, especially for hydrocarbon exploration. One of these simulation methods… (more)

Subjects/Keywords: parallel programming; seismic simulation; wavefront construction algorithm; load balancing; data redistribution

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APA (6th Edition):

Marsy, V. S. (2015). Dynamic Load Balancing in a Geophysics Application Using STAPL. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/155740

Chicago Manual of Style (16th Edition):

Marsy, Vincent S. “Dynamic Load Balancing in a Geophysics Application Using STAPL.” 2015. Masters Thesis, Texas A&M University. Accessed January 18, 2021. http://hdl.handle.net/1969.1/155740.

MLA Handbook (7th Edition):

Marsy, Vincent S. “Dynamic Load Balancing in a Geophysics Application Using STAPL.” 2015. Web. 18 Jan 2021.

Vancouver:

Marsy VS. Dynamic Load Balancing in a Geophysics Application Using STAPL. [Internet] [Masters thesis]. Texas A&M University; 2015. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/1969.1/155740.

Council of Science Editors:

Marsy VS. Dynamic Load Balancing in a Geophysics Application Using STAPL. [Masters Thesis]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/155740


Texas A&M University

15. Yeh, Hsin Yi. Uniform Sampling Framework for Sampling Based Motion Planning and Its Applications to Robotics and Protein Ligand Binding.

Degree: PhD, Computer Science, 2016, Texas A&M University

 Sampling-based motion planning aims to find a valid path from a start to a goal by sampling in the planning space. Planning on surfaces is… (more)

Subjects/Keywords: motion planning; sampling-based motion planning; computational biology; Ligand Binding Affinity Ranking

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APA (6th Edition):

Yeh, H. Y. (2016). Uniform Sampling Framework for Sampling Based Motion Planning and Its Applications to Robotics and Protein Ligand Binding. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/157151

Chicago Manual of Style (16th Edition):

Yeh, Hsin Yi. “Uniform Sampling Framework for Sampling Based Motion Planning and Its Applications to Robotics and Protein Ligand Binding.” 2016. Doctoral Dissertation, Texas A&M University. Accessed January 18, 2021. http://hdl.handle.net/1969.1/157151.

MLA Handbook (7th Edition):

Yeh, Hsin Yi. “Uniform Sampling Framework for Sampling Based Motion Planning and Its Applications to Robotics and Protein Ligand Binding.” 2016. Web. 18 Jan 2021.

Vancouver:

Yeh HY. Uniform Sampling Framework for Sampling Based Motion Planning and Its Applications to Robotics and Protein Ligand Binding. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/1969.1/157151.

Council of Science Editors:

Yeh HY. Uniform Sampling Framework for Sampling Based Motion Planning and Its Applications to Robotics and Protein Ligand Binding. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/157151


Texas A&M University

16. Long, Alex Roberts. Physics and Computer Architecture Informed Improvements to the Implicit Monte Carlo Method.

Degree: PhD, Nuclear Engineering, 2016, Texas A&M University

 The Implicit Monte Carlo (IMC) method has been a standard method for thermal radiative transfer for the past 40 years. In this time, the hydrodynamics… (more)

Subjects/Keywords: Monte Carlo; Thermal Radiative Transfer; High Performance Computing

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APA (6th Edition):

Long, A. R. (2016). Physics and Computer Architecture Informed Improvements to the Implicit Monte Carlo Method. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/156848

Chicago Manual of Style (16th Edition):

Long, Alex Roberts. “Physics and Computer Architecture Informed Improvements to the Implicit Monte Carlo Method.” 2016. Doctoral Dissertation, Texas A&M University. Accessed January 18, 2021. http://hdl.handle.net/1969.1/156848.

MLA Handbook (7th Edition):

Long, Alex Roberts. “Physics and Computer Architecture Informed Improvements to the Implicit Monte Carlo Method.” 2016. Web. 18 Jan 2021.

Vancouver:

Long AR. Physics and Computer Architecture Informed Improvements to the Implicit Monte Carlo Method. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/1969.1/156848.

Council of Science Editors:

Long AR. Physics and Computer Architecture Informed Improvements to the Implicit Monte Carlo Method. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/156848


Texas A&M University

17. Hackemack, Michael Wayne. Higher-Order DGFEM Transport Calculations on Polytope Meshes for Massively-Parallel Architectures.

Degree: PhD, Nuclear Engineering, 2016, Texas A&M University

 In this dissertation, we develop improvements to the discrete ordinates (S_N) neutron transport equation using a Discontinuous Galerkin Finite Element Method (DGFEM) spatial discretization on… (more)

Subjects/Keywords: neutron transport; polytope basis functions; higher-order; diffusion synthetic acceleration; massively-parallel; diffusion

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APA (6th Edition):

Hackemack, M. W. (2016). Higher-Order DGFEM Transport Calculations on Polytope Meshes for Massively-Parallel Architectures. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/157991

Chicago Manual of Style (16th Edition):

Hackemack, Michael Wayne. “Higher-Order DGFEM Transport Calculations on Polytope Meshes for Massively-Parallel Architectures.” 2016. Doctoral Dissertation, Texas A&M University. Accessed January 18, 2021. http://hdl.handle.net/1969.1/157991.

MLA Handbook (7th Edition):

Hackemack, Michael Wayne. “Higher-Order DGFEM Transport Calculations on Polytope Meshes for Massively-Parallel Architectures.” 2016. Web. 18 Jan 2021.

Vancouver:

Hackemack MW. Higher-Order DGFEM Transport Calculations on Polytope Meshes for Massively-Parallel Architectures. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/1969.1/157991.

Council of Science Editors:

Hackemack MW. Higher-Order DGFEM Transport Calculations on Polytope Meshes for Massively-Parallel Architectures. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/157991


Texas A&M University

18. Papadopoulos, Ioannis. STAPL-RTS: A Runtime System for Massive Parallelism.

Degree: PhD, Computer Science, 2016, Texas A&M University

 Modern High Performance Computing (HPC) systems are complex, with deep memory hierarchies and increasing use of computational heterogeneity via accelerators. When developing applications for these… (more)

Subjects/Keywords: parallel; runtime system; high performance; nested parallelism; asynchronous; shared memory; distributed memory

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APA (6th Edition):

Papadopoulos, I. (2016). STAPL-RTS: A Runtime System for Massive Parallelism. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/156985

Chicago Manual of Style (16th Edition):

Papadopoulos, Ioannis. “STAPL-RTS: A Runtime System for Massive Parallelism.” 2016. Doctoral Dissertation, Texas A&M University. Accessed January 18, 2021. http://hdl.handle.net/1969.1/156985.

MLA Handbook (7th Edition):

Papadopoulos, Ioannis. “STAPL-RTS: A Runtime System for Massive Parallelism.” 2016. Web. 18 Jan 2021.

Vancouver:

Papadopoulos I. STAPL-RTS: A Runtime System for Massive Parallelism. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/1969.1/156985.

Council of Science Editors:

Papadopoulos I. STAPL-RTS: A Runtime System for Massive Parallelism. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/156985


Texas A&M University

19. Pearce, Roger Allan. Scalable Parallel Algorithms for Massive Scale-free Graphs.

Degree: PhD, Computer Science, 2013, Texas A&M University

 Efficiently storing and processing massive graph data sets is a challenging problem as researchers seek to leverage “Big Data” to answer next-generation scientific questions. New… (more)

Subjects/Keywords: parallel algorithms; graph algorithms; scale-free graphs; graph partitioning

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APA (6th Edition):

Pearce, R. A. (2013). Scalable Parallel Algorithms for Massive Scale-free Graphs. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/151937

Chicago Manual of Style (16th Edition):

Pearce, Roger Allan. “Scalable Parallel Algorithms for Massive Scale-free Graphs.” 2013. Doctoral Dissertation, Texas A&M University. Accessed January 18, 2021. http://hdl.handle.net/1969.1/151937.

MLA Handbook (7th Edition):

Pearce, Roger Allan. “Scalable Parallel Algorithms for Massive Scale-free Graphs.” 2013. Web. 18 Jan 2021.

Vancouver:

Pearce RA. Scalable Parallel Algorithms for Massive Scale-free Graphs. [Internet] [Doctoral dissertation]. Texas A&M University; 2013. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/1969.1/151937.

Council of Science Editors:

Pearce RA. Scalable Parallel Algorithms for Massive Scale-free Graphs. [Doctoral Dissertation]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/151937


Texas A&M University

20. Jagannathan, Shriram. Reynolds and Mach Number Scaling in Stationary Compressible Turbulence Using Massively Parallel High Resolution Direct Numerical Simulations.

Degree: PhD, Aerospace Engineering, 2014, Texas A&M University

 Turbulence is the most common state of fluid motion in both natural and engineering systems. Many real world applications depend on our ability to predict… (more)

Subjects/Keywords: Direct Numerical Simulations; DNS; Compressible Turbulence; High performance computing (HPC); isotropic turbulence; stationary turbulence; high resolution

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APA (6th Edition):

Jagannathan, S. (2014). Reynolds and Mach Number Scaling in Stationary Compressible Turbulence Using Massively Parallel High Resolution Direct Numerical Simulations. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153329

Chicago Manual of Style (16th Edition):

Jagannathan, Shriram. “Reynolds and Mach Number Scaling in Stationary Compressible Turbulence Using Massively Parallel High Resolution Direct Numerical Simulations.” 2014. Doctoral Dissertation, Texas A&M University. Accessed January 18, 2021. http://hdl.handle.net/1969.1/153329.

MLA Handbook (7th Edition):

Jagannathan, Shriram. “Reynolds and Mach Number Scaling in Stationary Compressible Turbulence Using Massively Parallel High Resolution Direct Numerical Simulations.” 2014. Web. 18 Jan 2021.

Vancouver:

Jagannathan S. Reynolds and Mach Number Scaling in Stationary Compressible Turbulence Using Massively Parallel High Resolution Direct Numerical Simulations. [Internet] [Doctoral dissertation]. Texas A&M University; 2014. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/1969.1/153329.

Council of Science Editors:

Jagannathan S. Reynolds and Mach Number Scaling in Stationary Compressible Turbulence Using Massively Parallel High Resolution Direct Numerical Simulations. [Doctoral Dissertation]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153329


Texas A&M University

21. Li, Wei. A New Design Method Framework for Open Origami Design Problems.

Degree: PhD, Mechanical Engineering, 2014, Texas A&M University

 With the development of computer science and manufacturing techniques, modern origami is no longer just used for making artistic shapes as its traditional counterpart was… (more)

Subjects/Keywords: Origami; Genetic algorithm; Origami engineering; Optimization; Computational geometry

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APA (6th Edition):

Li, W. (2014). A New Design Method Framework for Open Origami Design Problems. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153468

Chicago Manual of Style (16th Edition):

Li, Wei. “A New Design Method Framework for Open Origami Design Problems.” 2014. Doctoral Dissertation, Texas A&M University. Accessed January 18, 2021. http://hdl.handle.net/1969.1/153468.

MLA Handbook (7th Edition):

Li, Wei. “A New Design Method Framework for Open Origami Design Problems.” 2014. Web. 18 Jan 2021.

Vancouver:

Li W. A New Design Method Framework for Open Origami Design Problems. [Internet] [Doctoral dissertation]. Texas A&M University; 2014. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/1969.1/153468.

Council of Science Editors:

Li W. A New Design Method Framework for Open Origami Design Problems. [Doctoral Dissertation]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153468


Texas A&M University

22. Pearce, Olga. Load Balancing Scientific Applications.

Degree: PhD, Computer Science, 2014, Texas A&M University

 The largest supercomputers have millions of independent processors, and concurrency levels are rapidly increasing. For ideal efficiency, developers of the simulations that run on these… (more)

Subjects/Keywords: load balancing; scientific applications; parallel simulations; performance optimization

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APA (6th Edition):

Pearce, O. (2014). Load Balancing Scientific Applications. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153998

Chicago Manual of Style (16th Edition):

Pearce, Olga. “Load Balancing Scientific Applications.” 2014. Doctoral Dissertation, Texas A&M University. Accessed January 18, 2021. http://hdl.handle.net/1969.1/153998.

MLA Handbook (7th Edition):

Pearce, Olga. “Load Balancing Scientific Applications.” 2014. Web. 18 Jan 2021.

Vancouver:

Pearce O. Load Balancing Scientific Applications. [Internet] [Doctoral dissertation]. Texas A&M University; 2014. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/1969.1/153998.

Council of Science Editors:

Pearce O. Load Balancing Scientific Applications. [Doctoral Dissertation]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153998


Texas A&M University

23. Rodriguez, Samuel Oscar. Roadmap-Based Techniques for Modeling Group Behaviors in Multi-Agent Systems.

Degree: PhD, Computer Science, 2012, Texas A&M University

 Simulating large numbers of agents, performing complex behaviors in realistic environments is a difficult problem with applications in robotics, computer graphics and animation. A multi-agent… (more)

Subjects/Keywords: multi-agent systems; motion planning; evacuation; pursuit-evasion

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APA (6th Edition):

Rodriguez, S. O. (2012). Roadmap-Based Techniques for Modeling Group Behaviors in Multi-Agent Systems. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10796

Chicago Manual of Style (16th Edition):

Rodriguez, Samuel Oscar. “Roadmap-Based Techniques for Modeling Group Behaviors in Multi-Agent Systems.” 2012. Doctoral Dissertation, Texas A&M University. Accessed January 18, 2021. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10796.

MLA Handbook (7th Edition):

Rodriguez, Samuel Oscar. “Roadmap-Based Techniques for Modeling Group Behaviors in Multi-Agent Systems.” 2012. Web. 18 Jan 2021.

Vancouver:

Rodriguez SO. Roadmap-Based Techniques for Modeling Group Behaviors in Multi-Agent Systems. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10796.

Council of Science Editors:

Rodriguez SO. Roadmap-Based Techniques for Modeling Group Behaviors in Multi-Agent Systems. [Doctoral Dissertation]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10796


Texas A&M University

24. Matthews, Suzanne. Efficient Algorithms for Comparing, Storing, and Sharing Large Collections of Phylogenetic Trees.

Degree: PhD, Computer Science, 2012, Texas A&M University

 Evolutionary relationships between a group of organisms are commonly summarized in a phylogenetic (or evolutionary) tree. The goal of phylogenetic inference is to infer the… (more)

Subjects/Keywords: computer science; computational biology, bioinformatics; systematic biology; biology; evolutionary tree; phylogenetic tree; tree collections; phylogeny; compression; version control

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APA (6th Edition):

Matthews, S. (2012). Efficient Algorithms for Comparing, Storing, and Sharing Large Collections of Phylogenetic Trees. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11124

Chicago Manual of Style (16th Edition):

Matthews, Suzanne. “Efficient Algorithms for Comparing, Storing, and Sharing Large Collections of Phylogenetic Trees.” 2012. Doctoral Dissertation, Texas A&M University. Accessed January 18, 2021. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11124.

MLA Handbook (7th Edition):

Matthews, Suzanne. “Efficient Algorithms for Comparing, Storing, and Sharing Large Collections of Phylogenetic Trees.” 2012. Web. 18 Jan 2021.

Vancouver:

Matthews S. Efficient Algorithms for Comparing, Storing, and Sharing Large Collections of Phylogenetic Trees. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11124.

Council of Science Editors:

Matthews S. Efficient Algorithms for Comparing, Storing, and Sharing Large Collections of Phylogenetic Trees. [Doctoral Dissertation]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11124


Texas A&M University

25. Zarrinmehr, Saied. A Computational Model for Simulation, Visualization and Evaluation of Mandatory and Optional Building Occupancy Scenarios.

Degree: PhD, Architecture, 2016, Texas A&M University

 Evaluating design decisions is an important factor in a post-positivist design process. Understanding how people move in space is an important part of the evaluation… (more)

Subjects/Keywords: simulation; evaluation; visualization; Building Occupancy Scenario; Agent-Based Models; Building Information Model (BIM); Discrete Event Simulation; Pedestrian Dynamics; desirability; Isovist; Visibility Analysis; Computational Models of Design

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APA (6th Edition):

Zarrinmehr, S. (2016). A Computational Model for Simulation, Visualization and Evaluation of Mandatory and Optional Building Occupancy Scenarios. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/159101

Chicago Manual of Style (16th Edition):

Zarrinmehr, Saied. “A Computational Model for Simulation, Visualization and Evaluation of Mandatory and Optional Building Occupancy Scenarios.” 2016. Doctoral Dissertation, Texas A&M University. Accessed January 18, 2021. http://hdl.handle.net/1969.1/159101.

MLA Handbook (7th Edition):

Zarrinmehr, Saied. “A Computational Model for Simulation, Visualization and Evaluation of Mandatory and Optional Building Occupancy Scenarios.” 2016. Web. 18 Jan 2021.

Vancouver:

Zarrinmehr S. A Computational Model for Simulation, Visualization and Evaluation of Mandatory and Optional Building Occupancy Scenarios. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/1969.1/159101.

Council of Science Editors:

Zarrinmehr S. A Computational Model for Simulation, Visualization and Evaluation of Mandatory and Optional Building Occupancy Scenarios. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/159101


Texas A&M University

26. Aghamohammadi, Aliakbar. Feedback-based Information Roadmap (FIRM): Graph-based Estimation and Control of Robotic Systems Under Uncertainty.

Degree: PhD, Computer Engineering, 2014, Texas A&M University

 This dissertation addresses the problem of stochastic optimal control with imperfect measurements. The main application of interest is robot motion planning under uncertainty. In the… (more)

Subjects/Keywords: Motion Planning; Stochastic Control; POMDP; Information; FIRM; Feedback-based Information Roadmap; belief; Robot

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APA (6th Edition):

Aghamohammadi, A. (2014). Feedback-based Information Roadmap (FIRM): Graph-based Estimation and Control of Robotic Systems Under Uncertainty. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/152857

Chicago Manual of Style (16th Edition):

Aghamohammadi, Aliakbar. “Feedback-based Information Roadmap (FIRM): Graph-based Estimation and Control of Robotic Systems Under Uncertainty.” 2014. Doctoral Dissertation, Texas A&M University. Accessed January 18, 2021. http://hdl.handle.net/1969.1/152857.

MLA Handbook (7th Edition):

Aghamohammadi, Aliakbar. “Feedback-based Information Roadmap (FIRM): Graph-based Estimation and Control of Robotic Systems Under Uncertainty.” 2014. Web. 18 Jan 2021.

Vancouver:

Aghamohammadi A. Feedback-based Information Roadmap (FIRM): Graph-based Estimation and Control of Robotic Systems Under Uncertainty. [Internet] [Doctoral dissertation]. Texas A&M University; 2014. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/1969.1/152857.

Council of Science Editors:

Aghamohammadi A. Feedback-based Information Roadmap (FIRM): Graph-based Estimation and Control of Robotic Systems Under Uncertainty. [Doctoral Dissertation]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/152857

27. Boyd, Bryan 1985-. Local Randomization in Neighbor Selection Improves PRM Roadmap Quality.

Degree: MS, Computer Science, 2012, Texas A&M University

 Probabilistic Roadmap Methods (PRMs) are one of the most used classes of motion planning methods. These sampling-based methods generate robot configurations (nodes) and then connect… (more)

Subjects/Keywords: Motion Planning; Robotics

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APA (6th Edition):

Boyd, B. 1. (2012). Local Randomization in Neighbor Selection Improves PRM Roadmap Quality. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/148341

Chicago Manual of Style (16th Edition):

Boyd, Bryan 1985-. “Local Randomization in Neighbor Selection Improves PRM Roadmap Quality.” 2012. Masters Thesis, Texas A&M University. Accessed January 18, 2021. http://hdl.handle.net/1969.1/148341.

MLA Handbook (7th Edition):

Boyd, Bryan 1985-. “Local Randomization in Neighbor Selection Improves PRM Roadmap Quality.” 2012. Web. 18 Jan 2021.

Vancouver:

Boyd B1. Local Randomization in Neighbor Selection Improves PRM Roadmap Quality. [Internet] [Masters thesis]. Texas A&M University; 2012. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/1969.1/148341.

Council of Science Editors:

Boyd B1. Local Randomization in Neighbor Selection Improves PRM Roadmap Quality. [Masters Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/148341

28. Manavi, Kasra Mehron. Medial Axis Local Planner: Local Planning for Medial Axis Roadmaps.

Degree: MS, Computer Science, 2012, Texas A&M University

 In motion planning, high clearance paths are favorable due to their increased visibility and reduction of collision risk such as the safety of problems involving:… (more)

Subjects/Keywords: motion planning; medial axis; path deformation

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APA (6th Edition):

Manavi, K. M. (2012). Medial Axis Local Planner: Local Planning for Medial Axis Roadmaps. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11191

Chicago Manual of Style (16th Edition):

Manavi, Kasra Mehron. “Medial Axis Local Planner: Local Planning for Medial Axis Roadmaps.” 2012. Masters Thesis, Texas A&M University. Accessed January 18, 2021. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11191.

MLA Handbook (7th Edition):

Manavi, Kasra Mehron. “Medial Axis Local Planner: Local Planning for Medial Axis Roadmaps.” 2012. Web. 18 Jan 2021.

Vancouver:

Manavi KM. Medial Axis Local Planner: Local Planning for Medial Axis Roadmaps. [Internet] [Masters thesis]. Texas A&M University; 2012. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11191.

Council of Science Editors:

Manavi KM. Medial Axis Local Planner: Local Planning for Medial Axis Roadmaps. [Masters Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11191

29. Jain, Tarun K. Parallel Seismic Ray Tracing.

Degree: MS, Computer Science, 2013, Texas A&M University

 Seismic ray tracing is a common method for understanding and modeling seismic wave propagation. The wavefront construction (WFC) method handles wavefronts instead of individual rays,… (more)

Subjects/Keywords: Parallel; Seismic Ray Tracing; STAPL

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APA (6th Edition):

Jain, T. K. (2013). Parallel Seismic Ray Tracing. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/151903

Chicago Manual of Style (16th Edition):

Jain, Tarun K. “Parallel Seismic Ray Tracing.” 2013. Masters Thesis, Texas A&M University. Accessed January 18, 2021. http://hdl.handle.net/1969.1/151903.

MLA Handbook (7th Edition):

Jain, Tarun K. “Parallel Seismic Ray Tracing.” 2013. Web. 18 Jan 2021.

Vancouver:

Jain TK. Parallel Seismic Ray Tracing. [Internet] [Masters thesis]. Texas A&M University; 2013. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/1969.1/151903.

Council of Science Editors:

Jain TK. Parallel Seismic Ray Tracing. [Masters Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/151903

30. Shen, Junjie. A HIERARCHICAL SYSTEM VIEW AND ITS USE IN THE DATA DISTRIBUTION OF COMPOSED CONTAINERS IN STAPL.

Degree: MS, Computer Science, 2017, Texas A&M University

 In parallel programming, a concurrent container usually distributes its elements to all processing units (locations) equally to maximize the processing ability. However, this distribution strategy… (more)

Subjects/Keywords: Concurrent data structure; hierarchical distribution; Parallel programming framework

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APA (6th Edition):

Shen, J. (2017). A HIERARCHICAL SYSTEM VIEW AND ITS USE IN THE DATA DISTRIBUTION OF COMPOSED CONTAINERS IN STAPL. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173229

Chicago Manual of Style (16th Edition):

Shen, Junjie. “A HIERARCHICAL SYSTEM VIEW AND ITS USE IN THE DATA DISTRIBUTION OF COMPOSED CONTAINERS IN STAPL.” 2017. Masters Thesis, Texas A&M University. Accessed January 18, 2021. http://hdl.handle.net/1969.1/173229.

MLA Handbook (7th Edition):

Shen, Junjie. “A HIERARCHICAL SYSTEM VIEW AND ITS USE IN THE DATA DISTRIBUTION OF COMPOSED CONTAINERS IN STAPL.” 2017. Web. 18 Jan 2021.

Vancouver:

Shen J. A HIERARCHICAL SYSTEM VIEW AND ITS USE IN THE DATA DISTRIBUTION OF COMPOSED CONTAINERS IN STAPL. [Internet] [Masters thesis]. Texas A&M University; 2017. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/1969.1/173229.

Council of Science Editors:

Shen J. A HIERARCHICAL SYSTEM VIEW AND ITS USE IN THE DATA DISTRIBUTION OF COMPOSED CONTAINERS IN STAPL. [Masters Thesis]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/173229

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