Conférences - Calcul scientifique

CIRM – Centre International de Rencontres Mathématiques

Mathématiques appliquées (en général),    Algorithmes et structures de données

Physique des hautes énergies, des particules et des champs,    Accélérateurs de particules

Organised by IoP West Midlands Branch (Keele Centre)

Ever since Rutherford split the atom, understanding the probabilities that define our nuclear age has been critical to our application of nuclear technology. In this seminar, Allan Simpson of the National Nuclear Laboratory will take you on a journey to discover just why the data that helps us understand the inner workings of nuclear reactors, the evolution of stars or treat cancer patients in our hospitals is the original big data challenge and just why we'll be seeking perfection for years to come.

Cost: FREE! These talks are open to everyone and are sponsored by the West Midlands Branch of the IoP.

Séminaire en ligne, webinaire,    Histoire et philosophie de la science

Society for Industrial and Applied Mathematics (SIAM)

Sponsored by the SIAM Activity Group on Computational Science and Engineering.

CIRM – Centre International de Rencontres Mathématiques

Analyse,    Physique mathématique

CIRM – Centre International de Rencontres Mathématiques

Physique mathématique,    Mathématiques appliquées (en général)

The goal of the Conference is for the participants to gain information on and to discuss latest research activities in data-driven science (such as artificial intelligence, machine learning, image processing, data mining, and big data) applied to plasma science and technologies, including, but not limited to, plasma processing and nuclear fusion. Thanks to the recent advancement of sophisticated diagnostics techniques and first-principle computer simulations, the amount of data that one can accumulate in typical research is increasing exponentially. Plasma scientists should also be able to take full advantage of, or even contribute to, the latest development of data-driven science and devise a way to extract essential information efficiently from such data. The extracted information then may be used for more efficient plasmas control and/or offer good insight into physical mechanisms of the phenomena that they study.

Physique des plasmas, fusion nucléaire,    Physique numérique

ICERM - The Institute for Computational and Experimental Research in Mathematics

Deep learning is profoundly reshaping the research directions of entire scientific communities across mathematics, computer science, and statistics, as well as the physical, biological and medical sciences . Yet, despite their indisputable success, deep neural networks are known to be universally unstable. That is, small changes in the input that are almost undetectable produce significant changes in the output. This happens in applications such as image recognition and classification, speech and audio recognition, automatic diagnosis in medicine, image reconstruction and medical imaging as well as inverse problems in general. This phenomenon is now very well documented and yields non-human-like behaviour of neural networks in the cases where they replace humans, and unexpected and unreliable behaviour where they replace standard algorithms in the sciences.

Tél.: [4018635030];     Email.: programstaff@icerm.brown.edu

The Fields Institute for Research in Mathematical Sciences

Distance geometry is a research area bridging mathematics and computer science with applicability to practical problems in a wide range of disciplines. In the majority of the applications, we are given an incomplete list of distances between pairs of objects, and we seek positions in Euclidean space realizing those distances. Classical applications include topics as protein conformation determination and sensor network localization, while emerging applications range from the study of molecular nanostructure to the adaptation of human movements in simulated environments. Distance geometry is also used in important data science applications such as compressed sensing, low rank matrix completion, and visualization of high-dimensional data.

Géométrie et topologie,    Algèbre

Email.: https://www.jlab.org/conference/CHEP2021

Biophysical Society (BPS)

Molecular biophysics over the next decade will be dominated by three technologies - electron microscopy and tomography, X-ray lasers, and machine learning. Taking us a step closer towards capturing bimolecular assemblies in action, these technologies together with molecular simulations are delivering not only static structures, but movies of cellular functions. One common denominator to this remarkable progress is the advent of graphic processor unit (GPU), and compute-intensive resources over the past decade. Already leveraging parallel capabilities, areas of diffraction data and single-particle image processing, hybrid modeling, molecular dynamics and free-energy simulations, and drug design and discovery are frontrunners in leveraging the prowess of exascale computing.

Biophysique,    Biologie moléculaire

The Fields Institute for Research in Mathematical Sciences

Scheduled as part of the Focus Program on Data Science, Approximation Theory, and Harmonic Analysis

Analyse,    Calcul infinitésimal, équations différentielles et intégrales

Institute of Information and Communication Technologies Bulgarian Academy of Sciences in cooperation with Sozopol municipality

Hierarchical, adaptive, domain decomposition and local refinement methods; Robust preconditioning algorithms; Monte Carlo methods and algorithms; Numerical linear algebra; Control systems; Parallel algorithms and performance analysis; Large-scale computations of environmental, biomedical and engineering problems.

Superordinateur et ordinateur parallèle,    Calcul distribué, cloud computing, informatique en périphérie

CIRM – Centre International de Rencontres Mathématiques

Physique mathématique,    Simulation

European Molecular Biology Organization – EMBO

Biologie moléculaire,    Gestion des connaissances, Big Data Computing

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. The 28th edition of the symposium, ARITH 2021, originally scheduled in Turin, Italy, will be held as a virtual conference for the uncertainty of the world health situation and travels in early 2021.

Mathématiques numériques,    Algorithmes et structures de données

Mathématiques appliquées (en général),    Spectroscopie de masse, chromatographie et résonance magnétique nucléaire

Mathématiques appliquées (en général),    Spectroscopie de masse, chromatographie et résonance magnétique nucléaire

Banff International Research Station for Mathematical Innovation and Discovery (BIRS)

Particle Physicists study matter at is smallest scale and try to reveal how the physical world is constructed from elementary particles and the forces acting between them. The well-known proton, neutron and similar particles are composed of quarks. Atoms also contain electrons; together with the two heavier versions of the electron (the muon and tau), each with its associated neutrino, they make up the group of leptons. Another ingredient of the catalogue of particles is the Higgs boson, discovered at the CERN Lab's Large Hadron Collider (LHC) in 2012.

Statistique, Théorie des jeux,    Physique des hautes énergies, des particules et des champs

The Conference is co-sponsored by the Association for Computing Machinery (ACM) and the PASC structuring project and it is managed by the Swiss National Supercomputing Centre (CSCS).

The PASC Conference series is an international and interdisciplinary platform for the exchange of competences in scientific computing and computational science with a strong focus on methods, tools, algorithms, application challenges, and novel techniques and usage of high performance computing.

University of Luxembourg

The aim of the conference ICON STARF is to bring together young researchers and renowned experts in mathematical statistics, signal processing, statistical learning, probability, approximation theory, and all other areas that contribute to the mathematical development of data science. We shall allow time for discussion and stimulate scientific collaboration and exchange among participants. A low registration fee will enable PhD students, post-docs and young researchers to participate in the conference. ICON STARF is part of the SanDAL programme of the ERA Chair which has been awarded to the University of Luxembourg by the European Horizon 2020 initiative.

Statistique, Théorie des jeux,    Mathématiques appliquées (en général)

Casa Matemática Oaxaca (CMO) in Mexico, and the Banff International Research Station for Mathematical Innovation and Discovery (BIRS) in Banff, Canada

The development of high-performance simulation tools for real-life problems involving fluid flows and related transport phenomena frequently requires the use of numerical methods that are high-order accurate in space and time and preserve important physical properties of certain quantities of interest (such as nonnegativity of the water height in shallow water equation models). In recent years, the state of the art in the development of such schemes was significantly advanced by a breakthrough in theoretical analysis which has provided illuminating insights into the properties of existing methods and new design criteria for the development of improved solution strategies. However, many theoretical aspects of physics-aware discretization techniques still require further exploration or have not been put into practice so far. The purpose of this workshop is to bridge the gap between the mathematical theory and engineering practice.

Cours et évènements pour étudiants en mathématiques,    Simulation

Institute for Pure and Applied Mathematics (IPAM), UCLA

The aim of this program is to connect efforts of the mathematical and physical sciences communities to address the latest advances and new challenges on the understanding of multi-messenger astronomy. The IPAM program will comprise four workshops, each addressing a different topic: the generation of catalogs of waveform templates; the discussion of the mathematical modeling of the equations governing strong relativistic systems; parameter estimation of astrophysical sources of gravitational waves; and the state of the art of big data and deep learning techniques for GW data analysis.

Astronomie, astrophysique et cosmologie,    Physique des hautes énergies, des particules et des champs

Institute for Pure and Applied Mathematics (IPAM), Los Angeles, CA

Part of the Long Program Mathematical and Computational Challenges in the Era of Gravitational Wave Astronomy

Astronomie, astrophysique et cosmologie,    Mathématiques appliquées (en général)

The Society of Exploration Geophysicists of Japan (SEGJ)

Road ahead for geophysics in digital society: Acquisition, processing, and interpretation

Géophysique et géologie,    Evénement multidisciplinaires ou générales en informatique

Institute for Pure and Applied Mathematics (IPAM).

Part of the Long Program Mathematical and Computational Challenges in the Era of Gravitational Wave Astronomy

Astronomie, astrophysique et cosmologie,    Mathématiques appliquées (en général)

CIRM – Centre International de Rencontres Mathématiques

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Cours et évènements pour étudiants en mathématiques,    Algèbre

Physique numérique,    Mathématiques appliquées (en général)