Psi-k 2020 will be the 6th general conference for the worldwide Psi-k community, following very successful events held in San Sebastián (2015), Berlin (2010), and Schwäbisch Gmünd (2005, 2000, 1996).
The conference program will be structured around 3.5 days (from the afternoon of September 14, 2020 to the end of September 17, 2020), that will include 7 plenary talks, 42 symposia in 6 parallel sessions (~135 invited talks and ~170 contributed talks), and a MAD evening.
All up-to-date information can be found at https://www.psik2020.net
Performance Optimisation and Productivity for EU HPC Centres of Excellence (and all other European Parallel Application Developers Preparing for Exascale), Parts I and IIWhile parallel applications in all scientific and engineering domains have always been prone to execution inefficiencies that limit their performance and scalability, exascale computer systems comprising millions of heterogeneous processors/cores present a very considerable imminent challenge to be addressed for academia and industry alike. Ten HPC Centres of Excellence are currently funded by the EU Horizon2020 programme to prepare applications for forthcoming exascale computer systems [https://www.focus-coe.eu/index.php/centres-of-excellence-in-hpc-applications/]. The transversal Performance Optimisation and Productivity Centre of Excellence (POP CoE) [https://www.pop-coe.eu] supports the others, along with the wider European community of application developers, with impartial application performance assessments of parallel execution efficiency and scaling based on a solid methodology analysing measurements with open-source performance tools. This minisymposium introduces the POP services and methodology, summarising results provided to date for over 200 customers with particular focus on those from the HPC CoEs. Engagements with the HPC CoEs will be reviewed in the introductory presentation, covering climate and weather (ESiWACE), chemistry and materials (BioExcel/MaX), and computational fluid dynamics in engineering (EXCELLERAT). The CoEs for Computational Biomedicine (CompBioMed [https://www.compbiomed.eu/]), Solid Earth (ChEESE [https://cheese-coe.eu/]) and Energy-oriented applications (EoCoE [https://www.eocoe.eu/]) will then report their experience of collaborating with POP in preparing their flagship codes for exascale. Organizer(s): Marta Garcia-Gasulla (Barcelona Supercomputing Center), and Brian Wylie (Jülich Supercomputing Centre, Forschungszentrum Jülich) Click here to view the video message (Part I). Click here to view the video message (Part II).
Excellerat – Extreme CFD for Engineering Applications, Parts I and IIComputational fluid dynamics is one of the main drivers of exascale computing, both due to its high relevance in today’s world (from nano fluidics up to planetary flows), but also due to the inherent multiscale properties of turbulence. The numerical treatment is notoriously difficult due to the disparate scales in turbulence, and the need for resolving local features. In addition, aspects such as the quantification of (internal or external) uncertainties is becoming a necessity, together with in-situ visualisation/postprocessing. The recent trend in numerical methods goes towards high-fidelity methods (for instance continuous and discontinuous Galerkin) which are suitable for modern computers; however, relevant issues such as scaling, accelerators and heterogeneous systems, high-order meshing and error control, are still far from solved when it comes to largest scale simulations, e.g. in automotive and aeronautical applications. This two part minisymposium brings together eight experts from various international institutions (Europe, America, Japan) to discuss current and future issues of extreme scale CFD in engineering applications, with special focus on accurate CFD methods, and their implementation on current HPC systems. The interaction between participants of the Horizon2020 Centre of Excellence Excellerat and external experts will be particularly fruitful. Organizer(s): Philipp Schlatter (KTH Royal Institute of Technology), and Niclas Jansson (KTH Royal Institute of Technology, RIKEN) Domain: Engineering
The Platform for Advanced Scientific Computing (PASC) Conference, co-sponsored by the Association for Computing Machinery (ACM) and the Swiss National Supercomputing Centre (CSCS), will be held from July 5 to 8, 2021 at the University of Geneva (Uni Mail), in Geneva, Switzerland.
The tools and techniques of High Performance Computing (HPC) have gained broad acceptance in wide areas of research and industry due to sustained progress in computational hardware and software technologies, ranging from hybrid CPU/GPU systems, multicore and distributed architectures, and virtualization, to relatively new paradigms such as cloud computing, explosive growth of the use of Artificial Intelligence (AI) techniques in myriad applications, and advances in quantum computer realizations. At the same time, the extremely fast pace of the field introduces new challenges in technological, intellectual, ethical and even political areas that must be addressed to continue to enable wider acceptance, implementation, and ultimately societal impact of high performance computing technologies, applications, and paradigms.
The main aim of this workshop is to present and debate advanced topics, open questions, current and future developments, and challenging applications related to advanced high-performance distributed computing and data systems, encompassing implementations ranging from traditional clusters to warehouse-scale data centers, and with architectures including hybrid, multicore, distributed, cloud models, and systems targeted for AI applications. In addition, quantum computing has captured intense and widespread interest in the last two years, in large part due to the deployment of several systems with diverse architectures. This workshop will provide a forum for exploration of both challenges and synergies that might arise from exchange of ideas across the many aspects of HPC and its applications.
The rapid uptake of AI methods to tackle myriad applications has led to rethinking of the relevant algorithms and of the microarchitectures of computers that are optimized for such applications. Although machine and deep learning are the AI technologies that are in the headlines daily and flood submissions to conferences and journals, other aspects of AI are also maturing and in some cases require HPC resources.
Similarly, the growing deployment of quantum computers, some of which are accessible to the open research community, is spurring experimentation with reformulation of problems, algorithms, and programming techniques for such computers. Quantum sensing and quantum communication are also beginning to have physical instantiations.
The importance of Cloud Computing in HPC continues to grow. We are seeing more and more cloud testbeds and production facilities that are used by government agencies, industry and academia. . Commercial cloud service providers like Amazon Web Services, Bull extreme factory, Fujitsu TC Cloud, Gompute, Microsoft Azure, Nimbix, Nimbula, Penguin on Demand, UberCloud, and many more are now offering HPC-focused infrastructure, platform, and application services. However, careful application benchmarking of different cloud infrastructures still have to be performed to find out which HPC cloud architecture is best suited for a specific application.
From an application standpoint, many of the most widely used application codes have undergone many generations of adaptation as new architectures have emerged, from vector to MPP to cluster to cloud, and more recently to multicore and hybrid. As exascale systems move toward millions of processing units the interplay between system and user software, compilers and middleware, even programmer and run-time environment must be reconsidered. For example, how much resilience and fault-tolerance can, or should, be embedded transparently in the system versus exposed to the programmer? Perhaps even greater challenges arise from the complexity of applications, which are increasingly multi-scale and multi-physics and are built from hundreds of building blocks, and from the difficulty of achieving portability across traditional architectures.
Finally, discussions and presentations related to emerging and strategically challenging application areas will also be an important part of the workshop. A special emphasis will be given to the potential of computational modeling and advanced analytics related to urban systems, including the associated diverse data sources and streams. Similarly, the challenges of data integration and use for new types of data sources such as the Internet of Things, will be examined. These and other new application areas enabled by new sources of data, including IoT and sensor networks, represent an interesting new set of HPC challenges.
Summarizing, the aim of this special workshop is to shed some light on key topics in advanced high performance computing systems and, in particular, to address the aforementioned contemporary scheduling, scaling, fault tolerance, and emerging application topics. The four and a half day program of this workshop will include roughly fifty invited talks and associated panels by experts in the field.
Parallel CFD is an annual international conference devoted to the discussion of recent developments and applications of parallel computing in the field of Computational Fluid Dynamics and related disciplines.
Since the establishment of the ParCFD conference series, many new developments and technologies have emerged. Emergence of multi-core and heterogeneous architectures in parallel computers has created new challenges and opportunities for applied research and performance optimization in advanced CFD technology.
Over the years, the conference sessions involved papers on parallel algorithms, numerical methods and challenging applications in science, engineering and industry.
ParCFD 2020 will include contributed and invited papers, panel discussions and mini-symposiums with specific themes. Topics of interest include, but are not limited to:
Parallel Algorithms and Solvers
Mechanical and Aerospace Engineering Applications
Atmospheric and Ocean Modeling
Medical and Biological Applications
Multi-disciplinary Design Optimization
Multi-Scale and Multi-Physics Applications
Software Frameworks and C/G-PU Computing
Co-organised by HPC centres from Singapore, Japan and Australia, SupercomputingAsia (SCA) 2021 is an annual conference that encompasses an umbrella of notable supercomputing and allied events in Asia. SCA21 will be held as a virtual conference from 2 to 4 March 2021. The key objective of SupercomputingAsia conference is to promote a vibrant and relevant HPC ecosystem in Asia. Delegates will be able to gain access to visionary insights from thought leaders in academia and industry, optimum networking opportunities and the Supercomputing community in Asia.