ACAT2021 registration is open! Registration is required for participation.
The 20th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2021) will take place between Monday, November 29 and Friday, December 3 2021 as a combined virtual and physical event at IBS Science Culture Center in Daejeon, South Korea. Registration is open until November 26. Video-conferencing and in person attendance is only available to registered participants!
Virtual participation in the conference is free of charge. In-person attendance has a fee of USD 70. For people outside of South Korea, the entry information to South Korea is available at this link.
ACAT promises to showcase an excellent set of plenary speakers, and highlights include Joseph Lykken (Fermilab, on Quantum Computing), Lenka Zdeborova (EPFL, on a Theory of Deep Learning), Barry C. Sanders (University of Calgary, on Quantum Machine Learning), Michael Spannowsky (Durham University, on Unsupervised Machine Learning for New Physics Searches), and Julia Fitzner (WHO, on WHO's Data Analysis Challenges during COVID-19 Pandemic).
The review of the ~250 excellent abstracts is expected to conclude at the end of October. Apart from about 70 oral presentations, the parallel program features a poster session. It will be provided though Gather.Town, a virtual platform, allowing for a more convenient and exciting conference experience. Please forward this news to anyone you know who might be interested. ACAT's success is based on its many high quality contributions and the technical expertise of its attendees.
The 20th edition of ACAT will — once again — bring together computational experts from a wide range of disciplines, including particle-, nuclear-, astro-, and accelerator-physics as well as high performance computing. Through this unique forum, we will explore the areas where these disciplines overlap with computer science, fostering the exchange of ideas related to cutting-edge computing, data-analysis, and theoretical-calculation technologies.
We look forward to seeing you in November, either in a virtual conference room or in Daejeon!
AI Decoded: Towards Sustainable, Diverse, Performant and Effective Scientific Computing
ACAT 2021’s theme will be about the frontiers and limits of AI and explore how we can develop sustainable techniques that can be widely used on a diverse range of computing architectures, in particular the exploitation of co-processors and High Performance Computing (HPC) facilities, to optimize the processing and analysis of scientific data. In addition, we will discuss topics in areas of the three parallel tracks outlined below.
SCIENTIFIC PROGRAMME
ACAT Workshops have plenary and parallel sessions during the five-day conference. The parallel sessions cover the following areas:
- Track 1: Computing Technology for Physics Research, including languages, paradigms, architectures, virtualization, networking and online computing.
- Track 2: Data Analysis - Algorithms and Tools, including machine learning, analysis techniques, simulation, reconstruction and visualization methods, and future ideas such as quantum computing.
- Track 3: Computations in Theoretical Physics: Techniques and Methods, including automatic systems, higher order calculations, computer algebra techniques, and theoretical and simulation aspects of computational physics.
This edition of ACAT will emphasize Machine Learning, although as at the previous ACAT’s we hope that a wide variety of experimental and theoretical topics will be discussed.
ADDITIONAL INFORMATION
If you have been forwarded this email and would like to make sure you don't miss-out when registration opens, please subscribe to our mailing list, acat-info @ cern.ch, by sending an email acat-loc2021@cern.ch!
Links:
Local Committee chairs
Soonwook Hwang, KISTI
Doris Yangsoo Kim, Soongsil University
