The book presents the proceedings of four conferences: The 26th International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA'20), The 18th International Conference on Scientific Computing (CSC'20); The 17th International Conference on Modeling, Simulation and Visualization Methods (MSV'20); and The 16th International Conference on Grid, Cloud, and Cluster Computing (GCC'20). The conferences took place in Las Vegas, NV, USA, July 27-30, 2020. The conferences are part of the larger 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20), which features 20 major tracks. Authors include academics, researchers, professionals, and students.
Presents the proceedings of four conferences as part of the 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20);
Includes the research tracks Parallel and Distributed Processing, Scientific Computing, Modeling, Simulation and Visualization, and Grid, Cloud, and Cluster Computing;
Features papers from PDPTA¿20, CSC¿20, MSV¿20, and GCC¿20.

Introduction.- PDPTA 2020.- Big Data and High-Performance Computing.- Parallel/Distributed Applications.- Parallel/Distributed Architectures.- Networks and Interconnection Networks.- Energy/power-aware Computing.- Reliability and Fault-tolerance.- Building Block Processors.- Real-time and Embedded Systems.- Parallel/Distributed Algorithms.- Multimedia Communications, Systems, and Applications.- CSC 2020.- ALGORITHMS AND METHODS.- HIGH PERFORMANCE COMPUTING & COMMUNICATION SYSTEMS.- MODELING, SIMULATION & VISUALIZATION METHODS.- BIG DATA AND DATA ANALYTIC.- MSV 2020.- Visualization of Big Data.- Information and Scientific Visualization.- Visual Interactive Simulation and Modeling.- Visualization Tools and Systems for Simulation and Modeling.- Virtual Reality and Simulation.- Virtual Environments and Data Visualization.- Simulation Languages.- Modeling and Simulation for Education and Training.- GCC 2020.- CLOUD COMPUTING.- GRID COMPUTING.- CLUSTER COMPUTING.- Conclusion.

Professor Hamid R. Arabnia received a Ph.D. degree in Computer Science from the University of Kent (England) in 1987. He is currently a Professor Emeritus of Computer Science at University of Georgia, USA, where he has been since October 1987. His research interests include parallel and distributed processing techniques & algorithms, supercomputing, Data Science, imaging science, and other compute intensive problems. Applications of interest include: medical imaging and security. Most recent activities include: Studying ways to promote legislation that would prevent cyber-stalking, cyber-harassment, and cyber-bullying. As a victim of cyber-harassment and cyber-bullying, in 2017 he won a lawsuit with damages awarded to him for a total of $2.3 Million and $656K attorney costs. Since this court case was one of the few cases of its kind in the United States, this ruling is considered to be important; Final Judgement for damages was issued in Leon County Courthouse of Tallahassee in Floridaby Circuit Court Judge. Prof. Arabnia is Editor-in-Chief of The Journal of Supercomputing (Springer). He is also on the editorial and advisory boards of 30 other journals. He is the book series editor-in-chief of "Transactions of Computational Science and Computational Intelligence" (Springer). He has won 12 distinguished awards, including the "Outstanding Research Contributions to the Field of Supercomputing" (President of IEEE/SMC) and "Distinguished Research Award" for Outstanding Contributions to Adaptable Communication Systems (ACM SIGAPP IMCOM). Dr. Arabnia is Fellow and Advisor of Center of Excellence in Terrorism, Resilience, Intelligence & Organized Crime Research (CENTRIC). He has been a PI/Co-PI on about $8 Million externally funded projects, about $200K internally funded projects, and about $4 Million equipment grants. During his tenure as Director of Graduate Programs, Dr. Arabnia secured the largest level of funding in the history of the department for supporting the research and education of graduate students (PhD, MS). Dr. Arabnia has delivered a number of keynote and plenary lectures at international conferences; most recently at: The 14th IEEE International Conference on Parallel and Distributed Systems (ICPADS, Australia); International Conference on Future Generation Communication and Networking (FGCN / IEEE CS, Sanya); The 10th IEEE International Conference on High Performance Computing and Communications (HPCC, Dalian); and ACM IMCOM International Conference. He has also delivered a number of "distinguished lectures" at various universities and research units/centers (USA, Spain, South Korea, Japan, Iran, Saudi Arabia, UK, Canada, Turkey, China, Ireland, Australia, ...); his distinguished lectures were funded and sponsored by US Department of Defense, SERSC of Republic of Korea, US National Science Foundation, H2020 of Europe, and others.

 

Dr. Leonidas Deligiannidis is a Professor of Computer Science at Wentworth Institute of Technology in Boston, MA. His foundation in Computer Science was first established when he earned his B.S. from Northeastern University College of Computer Science. He then went on to obtain two advanced degrees in the field from Tufts University. He has been active in the field since then, investigating subjects like Brain Computer Interfaces, Security, Business-oriented visualizations, and STEM Education. He has also served in industrial positions outside the scope of his academic work, using his acumen for several companies. His industry experience includes both entrepreneur startups in healthcare and high-tech networking companies. He has received multiple awards for his efforts, including multiple Achievement Awards for his contributions to Imaging Science by the World Congress in Computer Science, Computer Engineering, and Applied Computing, IEEE best paper awards, as well as a University Presidential award for his scholarly achievements. In addition, he has served asa referee for many journals in computer science and is a member of the program and organizing committees for notable conferences in his field.

 

Professor Michael R. Grimaila (BS 1993, MS 1995, PhD 1999 Texas A&M) is Professor and Head of the Systems Engineering and Management Department at the Air Force Institute of Technology (AFIT), Wright-Patterson AFB, Ohio, USA. He holds the Certified Information Security Manager (CISM), the Certified Information Systems Security Professional (CISSP), and the National Security Agency's INFOSEC Assessment Methodology (IAM) and INFOSEC Evaluation Methodology (IEM) certifications. Dr. Grimaila is a Fellow of the Information Systems Security Association (ISSA), a Senior Member of IEEE, a member of the Association for Computing Machinery (ACM), the International Council on Systems Engineering (INCOSE), and serves as a National Research Council (NRC) Research Advisor. His research interests include computer engineering, computer and network security, data analytics, quantum communications and cryptography, and systems engineering.

 

Dr. Douglas D. Hodson, PhD (BS 1985, MS 1987, MBA 1998, PhD 2009) is an Associate Professor in the Department of Electrical and Computer Engineering at the Air Force Institute of Technology (AFIT), Wright-Patterson AFB, Ohio, USA. His research interests include computer engineering, software engineering, real-time distributed simulation, and quantum communications. Dr. Hodson received his PhD in computer engineering from AFIT.

 

Professor Kazuki Joe received a Ph.D. degree in Computer Science from Nara Institute of Science and Technology (Japan) in 1996. He is currently a professor of Nara Women's University (Japan), where he has been since April 1999. He is currently the chair of Life Computing and Communication Department. His research interests include artificial intelligence, pattern recognition, data science, computer architecture. Especially, he is a pioneer of applying neural networks to handwritten character recognition (1989). He is a founder of Special Interest Group of Mathematical Modeling and Problem Solving in Information Processing Society Japan (IPSJ) and received an achievement award of IPSJ Computer Science Region in 2019.

 

Dr. Masakazu Sekijima received Ph.D. degree in Biotechnology from the University of Tokyo in 2002. Since 2002, he had working at the National Institute of Advanced Industrial Science and Technology (AIST) as a Research Staff and since 2003 as a Research Scientist. Dr. Masakazu Sekijima is also an Associate Professor (since 2009) at Tokyo Institute of Technology. His current research interests include in silico Drug Discovery, Chemoinformatics, Machine Learning, and Bioinformatics. He is currently the Chief Examiner of Special Interest Group of Mathematical Modeling and Problem Solving (SIGMPS) in Information Processing Society Japan (IPSJ).

 

Fernando G. Tinetti has a PhD in Computer Science and is a Professor at Facultad de Informatica, Universidad Nacional de La Plata, La Plata, Argentina. He is also a researcher of the Comision Investigaciones Cientificas de la Provincia de Buenos Aires, Argentina. He is a recipient of the NSF-TCPP Early Adopter Award, NSF/IEEE-TCPP, Curriculum Initiative on Parallel and Distributed Computing. He is the author/co-author of more than one hundred papers in International Journals and Computer Science Conferences. His areas of interest and experience include: High Performance Computing, Parallel and Distributed Computing, Cloud and Edge Computing, Real-Time Systems and Applications, Big Data Processing, Data Center and Infrastructure Performance Evaluation, Robotic Systems and Applications. He has co-edited a number of books in HPC.