Computer arithmetic has always been at the core of the digital age and is currently driving innovation in domains such as artificial intelligence, high-performance computing, signal processing, and security. Since 1969, the ARITH symposia have served as the premier conference for presenting the latest research in computer arithmetic.

The 31st edition of the symposium, ARITH 2024, will be held in Málaga, Spain, with in-person attendance and presentation of research results and keynote talks.

Regular Conference Papers

ARITH 2024 welcomes submissions of conference papers describing recent scientific advances related to computer arithmetic. Accepted papers will be included in the conference proceedings and in the IEEE Xplore Digital Library. Topics of interest include, but are not restricted to:

    Foundations of computer arithmetic: emerging or improved number systems and their applications; arithmetic algorithms, their analysis, and applications.
    Efficient, low-power, or high-performance novel implementations of computer arithmetic in software and hardware: integer or floating-point operations, elementary and special functions, multiple-precision computing, interval arithmetic, finite field arithmetic.
    Novel floating-point algorithms, properties of floating-point arithmetic in emerging domains and applications, such as Machine Learning with 8-bit floating-point formats.
    Computer arithmetic in emerging standards, high-level languages, and compilers.
    Test, verification, formal proofs, computer-aided design (CAD) automation, and fault/error-tolerance for computer arithmetic.
    New arithmetic paradigms, architectures, and implementations for emerging technologies, for FPGAs or configurable logic, and for non-conventional computing systems.
    New arithmetic paradigms and architectures for specific application domains such as cryptography, security, Internet-of-Things, neural networks, deep learning, signal processing, computer graphics, multimedia, computer vision, high-performance computing, finance, …
    Inexact, approximate, and stochastic arithmetic algorithms, architectures, and applications