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Modelling and Simulation in Engineering
Volume 2013, Article ID 475478, 16 pages
Research Article

Parallel Simulation of Population Balance Model-Based Particulate Processes Using Multicore CPUs and GPUs

Department of Chemical and Biochemical Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA

Received 15 October 2012; Revised 12 February 2013; Accepted 19 February 2013

Academic Editor: Weizhong Dai

Copyright © 2013 Anuj V. Prakash et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [5 citations]

The following is the list of published articles that have cited the current article.

  • Anwesha Chaudhury, Huiquan Wu, Mansoor Khan, and Rohit Ramachandran, “A mechanistic population balance model for granulation processes: Effect of process and formulation parameters,” Chemical Engineering Science, 2013. View at Publisher · View at Google Scholar
  • Anwesha Chaudhury, Ivan Oseledets, and Rohit Ramachandran, “A computationally efficient technique for the solution of multi-dimensional PBMs of granulation via tensor decomposition,” Computers & Chemical Engineering, 2013. View at Publisher · View at Google Scholar
  • Anwesha Chaudhury, Maitraye Sen, Dana Barrasso, and Rohit Ramachandran, “Population balance models for pharmaceutical processes,” Methods in Pharmacology and Toxicology, vol. 32, pp. 43–83, 2015. View at Publisher · View at Google Scholar
  • Franklin E. Bettencourt, Anik Chaturbedi, and Rohit Ramachandran, “Parallelization methods for efficient simulation of high dimensional population balance models of granulation,” Computers & Chemical Engineering, 2017. View at Publisher · View at Google Scholar
  • Chaitanya Sampat, Franklin Bettencourt, Yukteshwar Baranwal, Ioannis Paraskevakos, Anik Chaturbedi, Subhodh Karkala, Shantenu Jha, Rohit Ramachandran, and Marianthi Ierapetritou, “A parallel unidirectional coupled DEM-PBM model for the efficient simulation of computationally intensive particulate process systems,” Computers & Chemical Engineering, 2018. View at Publisher · View at Google Scholar