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James Nicholas Hawkes

James Nicholas Hawkes
European Centre For Medium Range Weather Forecasts

Doctor of Engineering

About

12
Publications
3,714
Reads
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52
Citations

Publications

Publications (12)
Article
Full-text available
To ensure the timely exploitation of its data, ECMWF has developed a system, called Aviso, designed to notify users when real-time forecast data or derived products are available, and to trigger user-defined workflows in an automated fashion. The Aviso service has been available since the beginning of 2021to users of the European Weather Cloud (EWC...
Presentation
Recent adoption of Open Data policies and investments towards Cloud-based platforms have attracted a growing number of consumers of ECMWF data. An example of these initiatives is the European Weather Cloud (EWCloud), where users wish to run automated, real-time tasks or workflows closer to the latest data produced by the model run in the ECMWF HPC...
Chapter
The LEXIS Weather and Climate Large-scale Pilot will deliver a system for prediction of water-food-energy nexus phenomena and their associated socio-economic impacts. The system will be based on multiple model layers chained together, namely global weather and climate models, high-resolution regional weather models, domain-specific application mode...
Technical Report
The efficiency of the forecasting system on future high-performance computing and data handling systems is considered one of the key challenges for implementing ECMWF’s ambitious strategy. This was already recognised by ECMWF in 2013, and has led to the foundation of the Scalability Programme. The programme aims to address this challenge as a conce...
Chapter
Full-text available
High Performance Computing (HPC) infrastructures (also referred to as supercomputing infrastructures) are at the basis of modern scientific discoveries, and allow engineers to greatly optimize their designs. The large amount of data (Big-Data) to be treated during simulations is pushing HPC managers to introduce more heterogeneity in their architec...
Article
Full-text available
Supercomputer power has been doubling approximately every 14 months for several decades, increasing the capabilities of scientific modelling at a similar rate. However, to utilize these machines effectively for applications such as computational fluid dynamics, improvements to strong scalability are required. Here, the particular focus is on semi-i...
Thesis
Supercomputing power has been doubling approximately every 14 months for at least three decades, increasing the capabilities of scientific modelling at a similar rate. The first machines capable of one ExaFLOP (1018 floating-point operations per second) are expected by 2020. However, architectural changes required to reach ‘exascale’ are significant, w...
Article
Full-text available
Since 2004, supercomputer growth has been constrained by energy efficiency rather than raw hardware speeds. To maintain exponential growth of overall computing power, a massive growth in parallelization is under way. To keep up with these changes, computational fluid dynamics (CFD) must improve its strong scalability – its ability to handle lower c...
Conference Paper
A Chaotic Iterative Method, which is a form of totally asynchronous linear equation-system solver, is implemented within an open-source framework. The solver is similar to simple Jacobi or Gauss-Seidel methods, but is highly optimized for massively-parallel computations. Processes or threads are free to run computations regardless of the current st...
Conference Paper
As modern supercomputers edge towards exascale, their architectures are becoming more parallel. In order for computational fluid dynamics (CFD) simulations to operate efficiently on newer machines, a complete harmony between hardware, software and numerical algorithms is required. In the work presented here, a typical CFD code is instrumented, and...
Conference Paper
Computational Fluid Dynamics (CFD) has enjoyed the speed-up available from supercomputer technology advancements for many years. In the coming decade, however, the architecture of supercomputers will change, and CFD codes must adapt to remain current. Based on the predictions of next-generation supercomputer architectures it is expected that the f...

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Projects

Projects (2)
Project
The LEXIS (Large-scale EXecution for Industry & Society) project aims to build an advanced, geographically- distributed, HPC infrastructure for Big Data analytics within three targeted pilot test-beds. By proposing innovative technologies and exploiting data available from test-bed partners, LEXIS aims to generate valuable outcomes and improve the efficiency and quality of services provided to different stakeholders involved in the test-beds. The developed services will be made available to external stakeholders, with the aim of stimulating the interest of European industries and creating an ecosystem of organisations that could benefit from the implemented platform. LEXIS will address key strategic objectives that will be transversally pursued all across the work. We aim to demonstrate the benefits of our project in the context of three industrial test-beds, leveraging modern technologies from HPC, Big Data, and Cloud computing. We will refer to Key Performance Indications (KPIs) to demonstrate success against the declared objectives within the industrial test-beds. These KPIs are relevant not only for the objectives themselves, but also for the various stakeholders involved.
Project
A community based open-usage CFD (viscous-flow) code for the Maritime World. Open-source for research purposes.