Thematic Track on Numerical Algorithms and Computer Arithmetic for Computational Science 2024 (NACA 2024)
in conjunction with
The International Conference on Computational Science 2024 (ICCS 2024)
Description
The Thematic Track on Numerical Algorithms and Computer Arithmetic for Computational Science 2024 (NACA 2024) welcomes submissions that showcase advancements in numerical algorithms and computer arithmetic across various fields of computational science. This includes modelling and simulation, as well as high-performance computing and data-intensive algorithms for scientific applications. While submissions can explore a wide array of topics, the following areas are particularly of interests:
Foundations of computer arithmetic: emerging number systems and their applications
Novel arithmetic algorithms, their analysis, and applications
Efficient, 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
New algorithms and properties of floating-point arithmetic in emerging domains and applications
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. Scientists across diverse fields heavily rely on numerical algorithms that require computer arithmetic awareness to avoid oversolving. There is a specific demand for scalable tools that are highly efficient and achieve high user-productivity while solving large-scale problems on massively parallel systems. This Thematic Track focuses on numerical algorithms and computer arithmetic, giving special attention to the latest scientific trends and challenges related to implementing numerical software libraries. The objective is to bring together researchers from different institutes, enabling the exchange of experiences and fostering research collaborations.
Topics of Submission (but not limited to):
Integer or floating-point operations
Elementary and special functions
Mixed-precision computations
Innovative floating-point numerical algorithms
Properties of floating-point arithmetic in emerging domains and applications
New arithmetic paradigms, architectures, and implementations for emerging technologies
Novel arithmetic and numerical algorithms implementations for FPGAs and configurable logic
Innovative arithmetic and numerical algorithms for Internet-of-Things, neural networks, deep learning,
signal processing, high-performance computing, finance, healthcare and emerging application domains
Organizers
Prof. Ewa Deelman, University of Southern California, Marina del Rey, USA (deelman@isi.edu)
Prof. Pawel Gepner, Warsaw Technical University, Warsaw, Poland (pawel.gepner@pw.edu.pl)
Dr. Hatem Ltaief, Extreme Computing Research Center, KAUST, Thuwa, Saudi Arabia (hatem.ltaief@kaust.edu.sa)
Paper submission
The abstracts, manuscripts of up to 12-15 pages, and short papers up to 6-8 pages, written in English and formatted according to the EasyChair templates, should be submitted electronically. During submission, you may select an "Abstract Only", a "Full Paper", or a "Short Paper" publication. Templates are available for download in the Easychair right-hand-side menu in a "New submission" mode. Papers must be based on unpublished original work and must be submitted to ICCS only.
Program Committee
Michela Taufer, University of Tennessee
Pasqua D'Ambra, National Research Council of Italy
Francesca Mazzia, Università degli studi di Bari Aldo Moro
Vinod Tipparaju, ByteDance
Pawel Czarnul, Politechnika Gdanska
Mohammed Hassan, KAUST
Haruo Kobayashi, Gunma University
Maciej Ciesielski, University of Massachusetts
Oscar Gustafsson, Linköping University
Anirban Mandal, University of North Carolina
Jay F Lofstead, Sandia National Laboratories
Additional Reviewers
Leonid Moroz, Politechnika Warszawska
Ronald Kriemann, MPI Leipzig
Huda Ibeid, Intel
Aniello Esposito, HPE
Marcel Koch, KIT
Hiroyuki Otomo, NVIDIA
Claude Tadonki, Centre de Recherche en Informatique
Pawel Poczekajlo, Politechnika Koszalinska
George Papadimitriou, University of Southern California
Ola Torudbakken, Meta
Michele Martone, LRZ