Parallel Simulation of Population Balance Model-Based Particulate Processes Using Multicore CPUs and GPUs
Joint Authors
Ramachandran, Rohit
Chaudhury, Anwesha
Prakash, Anuj V.
Source
Modelling and Simulation in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-03-21
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
Computer-aided modeling and simulation are a crucial step in developing, integrating, and optimizing unit operations and subsequently the entire processes in the chemical/pharmaceutical industry.
This study details two methods of reducing the computational time to solve complex process models, namely, the population balance model which given the source terms can be very computationally intensive.
Population balance models are also widely used to describe the time evolutions and distributions of many particulate processes, and its efficient and quick simulation would be very beneficial.
The first method illustrates utilization of MATLAB's Parallel Computing Toolbox (PCT) and the second method makes use of another toolbox, JACKET, to speed up computations on the CPU and GPU, respectively.
Results indicate significant reduction in computational time for the same accuracy using multicore CPUs.
Many-core platforms such as GPUs are also promising towards computational time reduction for larger problems despite the limitations of lower clock speed and device memory.
This lends credence to the use of highfidelity models (in place of reduced order models) for control and optimization of particulate processes.
American Psychological Association (APA)
Prakash, Anuj V.& Chaudhury, Anwesha& Ramachandran, Rohit. 2013. Parallel Simulation of Population Balance Model-Based Particulate Processes Using Multicore CPUs and GPUs. Modelling and Simulation in Engineering،Vol. 2013, no. 2013, pp.1-16.
https://search.emarefa.net/detail/BIM-474533
Modern Language Association (MLA)
Prakash, Anuj V.…[et al.]. Parallel Simulation of Population Balance Model-Based Particulate Processes Using Multicore CPUs and GPUs. Modelling and Simulation in Engineering No. 2013 (2013), pp.1-16.
https://search.emarefa.net/detail/BIM-474533
American Medical Association (AMA)
Prakash, Anuj V.& Chaudhury, Anwesha& Ramachandran, Rohit. Parallel Simulation of Population Balance Model-Based Particulate Processes Using Multicore CPUs and GPUs. Modelling and Simulation in Engineering. 2013. Vol. 2013, no. 2013, pp.1-16.
https://search.emarefa.net/detail/BIM-474533
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-474533