We regret to announce the postponement of the ACAT-2020 workshop, originally scheduled for September in South Korea, due to the global pandemic. At this time, it is not possible for anyone to make travel commitments and we cannot establish the programme of plenary talks that form the backbone of the workshop. We stress that this decision is completely independent of the workshop location and we are very pleased to be rescheduling ACAT in South Korea for late 2021.
20th International Workshop on Advanced Computing and Analysis Techniques in Physics Research
The 20th edition of ACAT will bring together experts to explore and confront the boundaries of computing, automated data analysis, and theoretical calculation technologies, in particle and nuclear physics, astronomy and astrophysics, cosmology, accelerator science and beyond. ACAT provides a unique forum where these disciplines overlap with computer science, allowing for the exchange of ideas and the discussion of cutting-edge computing, data analysis and theoretical calculation technologies in fundamental physics research.
There is a fundamental shift occurring in how computing is used in research in general and data analysis in particular. The abundance of inexpensive, powerful, easy to use computing power in the form of CPUs, GPUs, FPGAs, etc., has changed the role of computing in physics research over the last decade. The rise of new techniques, like deep learning, means the changes promise to keep coming. Even more revolutionary approaches, such as Quantum Computing, are now closer to becoming a reality.
Please join us to explore these future changes, and learn about new algorithms and ideas and trends in scientific computing physics. Most of all, join us for the discussions and the sharing of expertise in the field.
AI Decoded: Towards Sustainable, Diverse, Performant and Effective Scientific Computing
ACAT2020 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 to exploit co-processors and High Performance Computing (HPC) facilities, to optimise the processing and analysis of scientific data.
As often has happened in the development of AI, theoretical advances in the domain have opened the door to exceptional perspectives of application in the most diverse fields of science, business and society at large. Today the introduction of Machine (Deep) Learning is no exception, and beyond the hype we can already see that this new family of techniques and approaches may usher a real revolution in various fields.
However, as it has happened time and again in the past, we start realizing that one of the limitations of Deep Learning is sheer computing power. While these techniques allow to tackle extremely complex problems on very large amount of data, the computational cost, particularly of the training phase, is rising fast. The introduction of meta-optimizations such as hyper-parameter scans may further enlarge the possibilities of Machine Learning, but this in turn will require substantial improvements in code performance.
At the same time, HPC is also in full evolution, offering new solutions and perspectives, both in hardware and in software. In this version of ACAT we would like to focus on how this renewed momentum in the HPC world may provide the necessary power to fulfill the revolutionary promises offered by recent breakthroughs in AI at large and in Machine Learning in particular.
Fierce competitions between major players such as Google and IBM signals the advent of quantum computing. Research is being actively pushed to apply quantum computing tools to solve the problem which would have been too difficult to obtain the outcome using conventional methods. Are we seeing quantum supremacy? If yes, then in how many layers of sophistication?
The meeting will take place in Daejeon Convention Center (DCC) in Daejeon, Republic of Korea (South Korea).
Daejeon is a business city located at the center of South Korea, and it is a seat of a South Korean government complex. Its history goes back to thousands of years ago, when prehistoric people settled down near water resources around the region. The city is full of major scientific institutes and universities, reflecting the spirit of 1993 Daejeon Expo.
Transportation: Daejeon is connected from/to Incheon Airport by airport limousine and train.
Weather: Average 26°C/16°C. Summer ends early September. Temperature can fluctuate a lot between day and night.
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Many people are working together to bring you this conference! The organization page has some details. Federico Carminati is chair of the Scientific Program Committee and Axel Naumann is chair-elect. Soonwook Hwang and Doris Kim are the co-chairs of the Local Organizing Committee.