This includes, but is not restricted to, the following topics:

• Foundations of number systems and arithmetic

• Arithmetic processor design and implementation

• Arithmetic algorithms and their analysis

• Floating-point units, algorithms, and numerical analysis

• Elementary and special function implementations

• Power-efficient or low-energy arithmetic units and processors

• Industrial implementation of arithmetic units and processors

• Test, validation, and formal verification techniques for arithmetic implementations

• Fault/error-tolerance in arithmetic implementations

• Arithmetic for FPGAs and reconfigurable logic

• Design automation for computer arithmetic implementations

• Computer arithmetic for security and cryptography

• Arithmetic to enhance accuracy or reliability (multiple-precision, interval arithmetic, ...)

• Arithmetic challenges in HPC and exascale computing (accuracy, reproducibility, ...)

• Arithmetic for specific application domains (big-data analytics, signal processing, computer graphics, multimedia, computer vision, finance, ...)

• Computer arithmetic in emerging technologies

• Non-conventional computer arithmetic and applications