Track 5

Track 5: High Performance Computing

Track Chair:
Thar Baker, Liverpool John Moores University, UK

● Adel Ben Mnaouer, Canadian University Dubai, UAE
● Sharhabeel H. Alnabelsi, Al Ain University of Science and Technology, UAE


High Performance Computing (HPC) has moved into the mainstream of computing and has become a key technology in determining future research and development activities in many academic and industrial branches, especially when the solution of large and complex problems must cope with very tight timing schedules.
Authors are solicited to submit complete relevant and unpublished papers in the following, but not limited to:


• High performance computing theory
• High performance computing architectures
• Parallel programming paradigms, models and languages
• Parallel algorithms
• Domain-specific parallel and distributed algorithms
• System software and middleware
• System software support for scientific workflows
• Storage and I/O systems
• Resource management
• Job scheduling
• Fault tolerance and resilience
• Exascale systems
• Instruction-level and thread-level parallelism
• Performance modeling and evaluation
• Languages and compilers for high performance computing
• Quantum computing
• Massively multicore systems
• Future novel computing platforms
• Database applications and data mining
• High performance computing for bioinformatics
• High performance computing for big data analytics
• High performance computing for data mining
• High performance computing for artificial intelligence
• High performance computing for block chains
• Green (power efficient) high performance computingbers