CSC 2018 - The 16th Int'l Conf on Scientific Computing

The list of topics that appears below is by no means meant to be exhaustive:
Algorithms and Methods: Monte Carlo methods and applications; Numerical methods and simulation; Quantum computing; Computational number theory; Optimization and approximation methods; Probabilistic and randomized methodologies; Computational geometry; Computational biology; Computational chemistry; Computational fluid dynamics; Computational physics; Computational mechanics; Computational electromagnetics and computational electrodynamics; computational sociology; Splines and wavelets; Inversion problems; Cellular automata; Ordinary and partial differential equations; Stochastic differential equations; Integral equations; Finite element methods; Multi-level and Multi-grid methods; Operational research; Dynamical systems; Nonsymmetric solvers; Engineering problems and emerging applications.
High Performance Computing and Communication Systems: Cluster computing; Supercomputing; Cloud computing; Autonomic computing; P2P computing; Mobile computing; Grid computing; Parallel/distributed architectures and algorithms; Networks and interconnection networks; Reliability and fault-tolerance; The use of building block processors; Real-time and embedded systems; Multimedia communications, systems, and applications; Software tools and environments for Scientific Computing; Performance analysis, evaluation and monitoring; Distributed systems; FPGA, multicore, GPU, SOC and applications; Nanotechnology in HPC; High-performance mobile computation and communication; Petri Nets; Web-based simulation and computing; and Emerging technologies.
Modeling, Simulation and Visualization Methods: Computational modeling and simulation in science and engineering; Molecular modeling and simulation; Simulation languages and tools; Performance modeling; Information and scientific visualization; Modeling methodologies; Visual interactive simulation and modeling; Visualization tools and systems for simulation and modeling; Process, device, circuit simulation and modeling Multi-level modeling; CAD/CAE/CAM; Agent based simulation; Analytical and stochastic modeling techniques and applications; Chaos modeling, control and signal transmission; Simulation of complex systems; Simulation of intelligent systems; Vision and visualization; Prototyping and simulation; Biomedical visualization and applications; Discrete and numeric simulation; Modeling and simulation frameworks, and Virtual reality and simulation.
Big Data and Data Analytic: Software and hardware architectures; Big Data visualization; Services; Data analytics; toolkits; open platforms; business processes; Managing, analyzing, and using large volumes of structured and/or unstructured data; Simulation and modeling; Big Data and decision sciences and analytics; Scientific Crowdsourcing; Case studies; and Applications.