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You searched for subject:(Uniform Memory Model). Showing records 1 – 2 of 2 total matches.

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1. Kumar, Pankaj. Analysis of memory architecture of parallel processing computer.

Degree: Computer Science, 2010, Integral University

In modern time the focus of parallel computer development is being shifted from the processor perspective to the memory system perspective. If we will go to the Moore’s law, we will find the reason, which says that the performance of processor generally doubled in every year, whereas in recent year the performance of memory is increasing minutely, which causes an increasing discrepancy between processor & memory. So it becomes necessary to design a principle for memory architecture of parallel computer. Lots of memory architecture for parallel computer are designed so for. The research gives an extensive view of different memory architecture used in parallel computer; mainly it covers shared memory. After analyzing different memory architecture for shared memory abstraction, we choose Distributed Shared Memory (DSM) architecture for our research work. The performance and the programmability of the DSM system depend upon the Memory Consistency Model and Memory Coherency. The memory consistency model of a DSM system specifies the ordering constraints on concurrent memory accesses by multiple processors. Lots of Consistency Model are defined by a wide variety of source including architecture system, application programmer etc.

Conclusion p. 196-201, Appendix p. 202-209, Bibliography p. 210-218

Advisors/Committee Members: Bal, Gopal, Beg, Rizwan.

Subjects/Keywords: Parallel Processing System; Computer applications; DSM System; DSM Architecture; Uniform Memory Model; Hybrid Memory Models

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kumar, P. (2010). Analysis of memory architecture of parallel processing computer. (Thesis). Integral University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/3398

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kumar, Pankaj. “Analysis of memory architecture of parallel processing computer.” 2010. Thesis, Integral University. Accessed July 15, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/3398.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kumar, Pankaj. “Analysis of memory architecture of parallel processing computer.” 2010. Web. 15 Jul 2020.

Vancouver:

Kumar P. Analysis of memory architecture of parallel processing computer. [Internet] [Thesis]. Integral University; 2010. [cited 2020 Jul 15]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/3398.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kumar P. Analysis of memory architecture of parallel processing computer. [Thesis]. Integral University; 2010. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/3398

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

2. Hall, Brenton Taylor. Using the Non-Uniform Dynamic Mode Decomposition to Reduce the Storage Required for PDE Simulations.

Degree: Master of Mathematical Sciences, Mathematical Sciences, 2017, The Ohio State University

Partial Differential Equation simulations can produce large amounts of data that are very slow to transfer. There have been many model reduction techniques that have been proposed and utilized over the past three decades. Two popular techniques Proper Orthogonal Decomposition and Dynamic Mode Decomposition have some hindrances. Non-Uniform Dynamic Mode Decomposition (NU-DMD), which was introduced in 2015 by Gueniat et al., that overcomes some of these hindrances. In this thesis, the NU-DMD's mathematics are explained in detail, and three versions of the NU-DMD's algorithm are outlined. Furthermore, different numerical experiments were performed on the NU-DMD to ascertain its behavior with repect to errors, memory usage, and computational efficiency. It was shown that the NU-DMD could reduce an advection-diffusion simulation to 6.0075% of its original memory storage size. The NU-DMD was also applied to a computational fluid dynamics simulation of a NASA single-stage compressor rotor, which resulted in a reduced model of the simulation (using only three of the five simulation variables) that used only about 4.67% of the full simulation's storage with an overall average percent error of 8.90%. It was concluded that the NU-DMD, if used appropriately, could be used to possibly reduce a model that uses 400GB of memory to a model that uses as little as 18.67GB with less than 9% error. Further conclusions were made about how to best implement the NU-DMD. Advisors/Committee Members: Chou, Ching-Shan (Advisor).

Subjects/Keywords: Mathematics; Mechanical Engineering; Aerospace Engineering; Applied Mathematics; Computer Science; Fluid Dynamics; Fluid Flow; Model Reduction; Partial Differential Equations; reducing memory; Dynamic Mode Decomposition; Decomposition; memory; Non-Uniform Dynamic Mode Decomposition

…DMD needs far less memory and time to compute a reduced model. Among others, these… …same memory size for the reduced model. The differences between the three algorithms only… …affect the execution time and accuracy and not the memory size of the reduced model. 4.2… …the next subsection. It also takes slightly less memory to store the reduced model, because… …error of 7.2385%. Since this model only uses megabytes of memory, this particular example is… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hall, B. T. (2017). Using the Non-Uniform Dynamic Mode Decomposition to Reduce the Storage Required for PDE Simulations. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1492711382801134

Chicago Manual of Style (16th Edition):

Hall, Brenton Taylor. “Using the Non-Uniform Dynamic Mode Decomposition to Reduce the Storage Required for PDE Simulations.” 2017. Masters Thesis, The Ohio State University. Accessed July 15, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1492711382801134.

MLA Handbook (7th Edition):

Hall, Brenton Taylor. “Using the Non-Uniform Dynamic Mode Decomposition to Reduce the Storage Required for PDE Simulations.” 2017. Web. 15 Jul 2020.

Vancouver:

Hall BT. Using the Non-Uniform Dynamic Mode Decomposition to Reduce the Storage Required for PDE Simulations. [Internet] [Masters thesis]. The Ohio State University; 2017. [cited 2020 Jul 15]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1492711382801134.

Council of Science Editors:

Hall BT. Using the Non-Uniform Dynamic Mode Decomposition to Reduce the Storage Required for PDE Simulations. [Masters Thesis]. The Ohio State University; 2017. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1492711382801134

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