26th IEEE Symposium on Computer Arithmetic

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Event

26th IEEE Symposium on Computer Arithmetic

10 June 2019

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Date/Time
Date(s) - 06/10/2019 - 06/12/2019
All Day

Location
Kyoto

Categories


http://www.lab3.kuis.kyoto-u.ac.jp/arith26/

 

Welcome to the website of the 26th edition of the ARITH symposium. The conference will take place from Monday, June 10th, to Wednesday, June 12th, 2019, in Kyoto, Japan.

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Since 1969, the ARITH symposia have served as the primary and reference
conference for presenting scientific work on the latest research in
computer arithmetic. The topics of the conference include theoretical
aspects, number systems, algorithms for operations and math functions,
implementations, validation, and applications of computer
arithmetic.
Since 1981, the ARITH symposia have been a biennial
event. They are now an annual event starting from 2015. See the
archives page for more information on
previous symposia.

–>Since 1969, the ARITH symposia have served as the flagship conference for presenting scientific work on the latest research in computer arithmetic. Computer arithmetic is now driving the most important innovations and product directions in our industry, such as artificial intelligence and security. Since 1981, the ARITH symposia have been a biennial event. They are now an annual event starting from 2015. See the archives page for more information on previous symposia.

Authors are invited to submit papers describing recent advances on all aspects related to computer arithmetic, its applications or implementations. This includes, but is not restricted to, the following topics:

  • Foundations of number systems and arithmetic
  • Arithmetic processor design and implementation
  • Arithmetic and datapath design for artificial intelligence, machine learning, and deep learning
  • Numerics for artificial intelligence, machine learning, and deep learning
  • 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
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