STFC's Scientific Computing Department and the Hartree Centre
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
High Performance Computing and BD
High-Performance Computing and Big Data Challenge Dr Violeta Holmes Matthew Newall The University of Huddersfield Outline • High-Performance Computing – E-Infrastructure – Top500 -Tianhe-II – UoH experience: HPC resources and applications • Big Data – Hadoop – Case study: Close Call • Summary High-Performance Computing • The HPC and Big Data are new technologies vital for the advancement in science, business and industry. • ”High Performance Computing (HPC) and e- infrastructure in general are drivers of economic growth and societal well-being. They are also vital for maintaining international competitiveness in the generation of knowledge and its application.”(Kenway, Coveney, McGuire, Parchment, & Parsons, 2012) Where we were 50s-early 80s • Centralised computing facilities • Dummy Terminals • Punch cards • Batch Processing μ Processors • Allowed users to have “intelligent” machines under their table – Seen as an expensive typewriter – Few organisations and educational institutions had them • These machines were quickly overtaking Mainframes in price-performance factors, and later overtaking them in performance. 90s – early 2000 • Information on Demand - For the first time sharing and communicating became easy and quick. Where we are now • Efficient Multitasking Desktops • Capable Workstations • Mobile Devices – less capable Through the use of middlewares: • Clusters • Grids The 5th Utility Utility Computing/Cloud Computing/On- Demand Computing/Service Computing • The concept of just plugging in your problem into a computer system and getting results. • Defined as: “A large-scale distributed computing paradigm that is driven by economies of scale, in which a pool of abstracted virtualised, dynamically-scalable, managed computing power, storage, platforms and services are delivered on demand to external customers over the internet.” (Foster et al. -
Template: 10Th Anniversary Powerpoint
Science and Technology Facilities Council One of Europe’s largest multi-disciplinary scientific research organisations Dr Ling Xu How we’re funded Taxpayers HM Government (and HM Treasury) STFC science and technology delivers real benefits to peoples’ lives, and contributes to the prosperity and security of the UK Delivering Economic Growth through Innovation STFC’s Asset Base Innovation Resilient Economy Knowledge Skills Technology Inspiration What we spend £530m from government in 2015-16* • International Subscriptions (CERN, ESO, ILL, ESRF, FAIR) £155m • Domestic Facilities (ISIS, Diamond, CLF) £156m • Core (academic grants, lab operations, support services) £218m • Supplemented by project-based external revenue around £60m p.a. International Facilities Core Revenue What we do World Class Research, Innovation and Skills • Broad range of physical, life and computational sciences • Around 1,700 scientists in particle and nuclear physics, and astronomy mainly in the University Sector • Access for 7,500 scientists to world-leading, large-scale facilities • Science and Innovation Campuses at Daresbury and Harwell • Globally-recognised capabilities and expertise in technology R&D • Inspiring young people to undertake STEM What we are Boulby Underground UK Astronomy Technology Centre Laboratory Edinburgh, Scotland North Yorkshire Polaris House Daresbury Laboratory Swindon, Wiltshire Sci-Tech Daresbury Warrington, Cheshire Chilbolton Observatory Rutherford Appleton Laboratory Stockbridge, Hampshire Harwell Didcot, Oxfordshire …and internationally Our facilities drive research Neutron Sources • Providing powerful insights into key areas of energy, biomedical research, climate, environment and security. High Power Lasers • Providing applications on bioscience and nanotechnology and demonstrating laser driven fusion as a future source of sustainable, clean energy. Light Sources • Providing new breakthroughs in medicine, environmental and materials science, engineering, electronics and cultural heritage. -
Intel Parallel Computing Centre – First Report the Hartree Centre
Benefits of Leveraging Software Defined Visualization (OSPRay) Sergi Siso IPCC @ Hartree Centre, STFC Daresbury Laboratory United Kingdom Thursday, 23 March 2017 Software Defined Visualization 2 Index 1. Visualization Challenges in HPC 2. Ray tracing with OSPRay 3. Hands-On 1: Installing and using OSPRay 4. Remote Visualization with Paraview 5. Hand-One 2: Remote vis. of OpenCH and HVAC 6. Hartree Use Case 1: HVAC simulation 7. Hartree Use Case 2: IMAT Facility 8. Questions Thursday, 23 March 2017 Software Defined Visualization 3 Section 1 VISUALIZATION CHALLENGES IN HPC Why we need visualization in HPC “Yes," said Deep Thought, "I can do it.“ [Seven and a half million years later.... ] “The Answer to the Great Question... Of Life, the Universe and Everything... Is... Forty-two,' said Deep Thought, with infinite majesty and calm.” Douglas Adams, Hitchhiker’s Guide to the Galaxy Thursday, 23 March 2017 Software Defined Visualization 5 Why we need visualization in HPC Thursday, 23 March 2017 Software Defined Visualization 6 But not just rendering . In HPC visualization incudes: – Feature extraction – Isosurfaces / Isovolumes – Thresholding – Streamlines – Clip, Slice, gradient, … Some HPC visualization workloads are better suited to CPU . Visualization is a “big data” problem architectures. – Data movement problem (IO bottleneck) – Needs lots of memory – Need scalability to solve Thursday, 23 March 2017 Software Defined Visualization 7 Dataset Size Problem . Issues to simulate large datasets… May fit in System Memory but not in GPU memory PCI bus is slow Thursday, 23 March 2017 Software Defined Visualization 8 Rasterization Libraries OpenSWR vs MESA LLVMpipe Performance Comparison (drop in replacement for OpenGL) Thursday, 23 March 2017 Software Defined Visualization 9 Rasterization Libraries *Scientific Visualization in HPC presentation from Peter Messmer (NVIDIA) Thursday, 23 March 2017 Software Defined Visualization 10 In-Situ Visualization . -
LOFAR-UK a Science Case for UK Involvement in LOFAR
LOFAR-UK A science case for UK involvement in LOFAR Assembled and edited on behalf of the LOFAR-UK consortium by Philip Best December 2007 Contributors: Paul Alexander (Cambridge), David Bacon (Edinburgh/Portsmouth), David Bersier (Liverpool JMU), Philip Best (Edinburgh), Rob Beswick (Manchester), Andy Breen (Aberyst- wyth), Elias Brinks (Hertfordshire), Catherine Brocksopp (UCL/MSSL), Sandra Chapman (War- wick), Michele Cirasuolo (Edinburgh), Judith Croston (Hertfordshire), Owain Davies (RAL), Tom Dwelly (Southampton), Steve Eales (Cardiff), Alastair Edge (Durham), Brian Ellison (RAL), Rob Fender (Southampton), Lyndsay Fletcher (Glasgow), Martin F¨ullekrug (Bath), Simon Garrington (Manchester), Dave Green (Cambridge), Martin Haehnelt (Cambridge), Martin Hardcastle (Hert- fordshire), Richard Harrison (RAL), Faridey Honary (Lancaster), Rob Ivison (ATC), Neal Jackson (Manchester), Matt Jarvis (Hertfordshire), Christian Kaiser (Southampton), Joe Khan (Glasgow), Hans-Rainer Kl¨ockner (Oxford), Eduard Kontar (Glasgow), Michael Kramer (Manchester), Cedric Lacey (Durham), Mark Lancaster (UCL), Tom Maccarone (Southampton), Alec MacKinnon (Glas- gow), Ross McLure (Edinburgh), Avery Meiksin (Edinburgh), Cathryn Mitchell (Bath), Bob Nichol (Portsmouth), Will Percival (Portsmouth), Robert Priddey (Hertfordshire), Steve Rawlings (Ox- ford), Chris Simpson (Liverpool JMU), Ian Stevens (Birmingham), Tom Theuns (Durham), Phil Uttley (Southampton), Peter Wilkinson (Manchester), Graham Woan (Glasgow) Contents 1 Executive Summary 1 2 Introduction 3 2.1 International extensions of LOFAR . .......... 4 2.2 Thisdocument .................................... ... 6 3 LOFAR in the context of UK radio astronomy 7 3.1 The University of Manchester and Jodrell Bank Observatory ............. 7 3.2 The University of Cambridge and the Mullard Radio Astronomy Observatory . 8 3.3 LOFAR-UK as a stepping-stone to the SKA . ...... 9 4 LOFAR-UK and the Epoch of Reionisation 10 4.1 Introduction: The Epoch of Reionisation . -
An Initial Assessment of the Robust and Compact Hybrid Environmental Lidar (RACHEL)
An initial assessment of the Robust And Compact Hybrid Environmental Lidar (RACHEL) A.C. Povey1, D.M. Peters1, R.G. Grainger1, D. Rees2, and J.L. Agnew3 1University of Oxford, Atmospheric, Oceanic, and Planetary Physics, Clarendon Laboratory, Parks Road, Oxford, OX1 3PU, United Kingdom, [email protected] 2Hovemere Ltd., Tonbridge, TN9 1RF, United Kingdom 3STFC Rutherford Appleton Laboratory, HSIC, Didcot, OX11 0QX, United Kingdom ABSTRACT The Robust And Compact Hybrid Environmental Lidar (RACHEL) is a 355nm, 4-channel Raman lidar system that has been developed for unattended, continuous measurement of the distributions of particulates, wa- ter vapour, and other pollutants in the boundary layer and troposphere, including the capacity for scanning the full hemisphere. The system has been designed to be portable and low-cost, providing the potential to investigate a wide range of environments with a single instrument. Deployment at the beginning of 2010 at the STFC Chilbolton Observatory has provided a unique oppor- tunity to cross-compare the instrument against the nu- merous lidar and radar systems stationed at the obser- vatory and to evaluate the implementation of various measurements into the data evaluation, such as ra- diosondes, radiometers, and aircraft observations. The system was deployed during the Eyjafjallajökull erup- Figure 1. RACHEL deployed at the Chilbolton Observatory in tion of April 2010, observing the appearance and evo- southern England. Reflective insulation has been applied to lution of the ash plume over southern England. the surfaces exposed to direct sunlight to improve tempera- ture stability. 1. INTRODUCTION beam is expanded by a factor five to a diameter of Aerosols present the greatest source of uncertainty in 35 mm with divergence < 0.3 mrad and is transmitted global climate models [1]. -
0418 Space Cluster Brochure FINAL
HARWELL SPACE MultidisciplinaryCLUSTER Innovation CONTENTS HARWELL FOREWORD CAMPUS 2 Harwell Campus 4 Success of the Harwell Space Cluster 6 Multidisciplinary Innovation 5,500people 8 Building the Harwell Space Cluster 9 Vision for the Future Harwell Campus is an exciting place to be, with cutting edge 10 UK Space Industry science facilities, major organisations and a great mix of companies from start-ups to multinationals. The Campus was quick to realise 12 Stakeholder Organisations £2+bnfacilities that it needed a mechanism to encourage collaboration, knowledge 20 Companies Driving Innovation at Harwell sharing and drive innovation, which led to the development of 40 Life at Harwell thematic Clusters. It started with the Harwell Space Cluster and now includes the HealthTec and EnergyTec Clusters. 42 Harwell Tomorrow 45 Contact I have watched Harwell Campus flourish over the last seven years, including the Harwell Space Cluster, which has grown to 80 organisations employing 800 people. I don’t expect there to be any let up in this growth and I look forward to the Campus changing, literally before my very eyes. SPACE I am really excited about the opportunities at the intersections between these Clusters, such as between the Space and HealthTec Clusters. Harwell CLUSTER Campus is able to demonstrate multidisciplinary innovation every day. There is no better way to really understand what is happening than to visit. I hope that you will do just that and that you will become part of the exciting future of the Harwell Space Cluster and help the UK reach organisations80 its goal of taking 10% of the global space market by 2030. -
Hartree Centre Challenge Led Applied Research and Innovation Our Mission
The Hartree Centre Challenge led applied research and innovation Our mission Transforming UK industry by accelerating the adoption of high performance computing, big data and cognitive technologies. What we do − Collaborative R&D Define a challenge in your business and we build a team to deliver a solution − Platform as a service Give your own experts pay-as-you-go access to our compute power − Creating digital assets License the new industry-led software applications we create with IBM Research − Training and skills Drop in on our comprehensive programme of specialist training courses and events or design a bespoke course for your team Our platforms Our platforms Intel platforms Accelerated & emerging tech Bull Sequana X1000 Maxeler FPGA system Lenovo NeXtScale | 8,192 cores ARM 64-bit platform Lenovo System x iDataPlex system | 2048 cores Clustervision novel cooling demonstrator Intel Xeon Phi | Knight's Corner IBM big data analytics cluster | 288TB IBM data centric platforms IBM Power8 + NVLink + Tesla P100 IBM Power8 + Nvidia K80 How you can benefit − Access to domain specialists and a vast network of expertise − Technologies and systems that do it faster and cheaper − Full time scientists delivering on industrially relevant timescales − Collaboration with a trusted partner − Professional project management Government & public sector Network of expertise Local business networks Technology partners Universities Academia International research communities Our track record Case study | Computer aided formulation Collaborative -
Simon Berry Programmes Directorate Science and Technology Facilities Council Funding Route to STFC and Astronomy
The Square Kilometre Array (SKA) STFC Knowledge Exchange Workshop UK Strategy for SKA Dr Simon Berry Programmes Directorate Science and Technology Facilities Council Funding route to STFC and astronomy HM Government (and HM Treasury) RCUK Executive Group Astronomy development Space project and exploitation development (ESA) Daresbury Laboratory UK Astronomy Technology Centre Daresbury Science and Innovation Campus Edinburgh, Scotland Warrington, Cheshire Polaris House Rutherford Appleton Laboratory Swindon, Wiltshire Harwell Science and Innovation Campus Didcot, Oxfordshire Chilbolton Observatory Stockbridge, Hampshire Joint Astronomy Centre Hawaii Isaac Newton Group of Telescopes La Palma STFC’s Astronomy Programme • Facility operation and development – European Southern Observatory – ‘Domestic’ facilities – Future projects like SKA • Space hardware programme: - • Research exploitation – Grant awards to all UK astronomy departments • Other elements – Training/industry engagement/public engagement Optical-IR facilities LOFAR-UK Astronomy on an industrial scale…. UK in the SKA • Science leadership of early concept and baseline science case • Technical involvement and funding since 2006: – Technical, R&D funding, array development, signal transport, software & computing – Dedicated budget for SKA from BIS • Policy leadership: – PrepSKA Coordinator – Chairmanship of SKA Board and predecessors – Key policy issues – Business plan etc SKA priority UK SKA strategy • Element ‘0’: Be part of the initial Full Membership of the SKA Organisation on -
Retrieval of Aerosol Backscatter, Extinction, and Lidar Ratio from Raman Lidar with Optimal Estimation
Open Access Atmos. Meas. Tech., 7, 757–776, 2014 Atmospheric www.atmos-meas-tech.net/7/757/2014/ doi:10.5194/amt-7-757-2014 Measurement © Author(s) 2014. CC Attribution 3.0 License. Techniques Retrieval of aerosol backscatter, extinction, and lidar ratio from Raman lidar with optimal estimation A. C. Povey1, R. G. Grainger1, D. M. Peters1, and J. L. Agnew2 1Atmospheric, Oceanic, and Planetary Physics, University of Oxford, Parks Road, Oxford OX1 3PU, UK 2STFC Rutherford-Appleton Laboratory, Harwell, Oxford OX11 0QX, UK Correspondence to: A. C. Povey ([email protected]) Received: 29 August 2013 – Published in Atmos. Meas. Tech. Discuss.: 30 October 2013 Revised: 21 January 2014 – Accepted: 6 February 2014 – Published: 13 March 2014 Abstract. Optimal estimation retrieval is a form of nonlin- 1 Introduction ear regression which determines the most probable circum- stances that produced a given observation, weighted against any prior knowledge of the system. This paper applies the Aerosols impact the Earth’s radiation budget both directly, technique to the estimation of aerosol backscatter and extinc- by reflecting solar radiation back into space (Haywood and tion (or lidar ratio) from two-channel Raman lidar observa- Shine, 1995), and indirectly, by altering the properties and tions. It produces results from simulated and real data con- distribution of clouds (Lohmann and Feichter, 2005) or sistent with existing Raman lidar analyses and additionally reacting with other species (Colbeck, 1998). The lack of returns a more rigorous estimate of its uncertainties while knowledge about the global distribution and composition of automatically selecting an appropriate resolution without the aerosols is currently the single greatest source of uncertainty imposition of artificial constraints. -
ERAD 2020 European Conference on Radar in Meteorology and Hydrology Book of Abstracts ERAD 2020
ERAD 2020 European Conference on Radar in Meteorology and Hydrology Book of abstracts ERAD 2020 Dear members of the weather radar community The 11th European Conference on Radar in Meteorolo- The conference has been postponed to 2022 … but the gy and Hydrology known by the abbreviation ERAD attempt to organize ERAD in 2020 left a heritage. The was scheduled to take place in Switzerland in Septem- collection of abstracts, which you hold in your hands, ber 2020. The deadline of the abstract submission fell is an impressive testimony to the scientific depth, the in the midst of the rapid spreading of Covid-19, a mo- diversity and the link to practical applications of the ment of high uncertainty and confusion around the ongoing activities in the field of radar meteorology and globe. Many countries were under a lockdown. No- hydrology. ERAD is known for its tradition to build body knew how the pandemic will evolve and what will a bridge between academia, industry and the national happen with ERAD 2020. We were expecting to receive meteorological and hydrological services. It brings the 50, maybe 100 submissions from the most dauntless scientific excellence of the universities, the knowledge ERAD warriors and faithful supporters. Never would how to build a radar of the manufacturers, and the op- we have expected to go beyond 200. We were absolutely erational perspective of the national services and users overwhelmed when the number of submissions reached together. This makes it a perfect breeding ground for 292. But not only the scientists who submitted an ab- exchange and innovation as demonstrated in the previ- stract were ready to defy the virus, we also got many re- ous editions of ERAD. -
RAL Space Highlights 2017
Highlights 2017 Science driven, technology enabled Aerial view of RAL Space R100 building. Credit: STFC Welcome In 2017 the world celebrated 60 years since trial, to providing training to early-career the launch of Sputnik 1, the first artificial environmental scientists on how to best satellite. Space technology now underpins exploit the data available through the our society and economy in ways we JASMIN supercomputer. Not to mention could never have dreamed of 60 years ago. the thousands of children who have been I am proud of RAL Space’s heritage and the inspired by our extensive public outreach expertise we have contributed ourselves to programme. help make this happen. In 2018 we look forward to breaking ground Our highlights this year, achieved through on the National Satellite Test Facility, delivery of various successful projects, a flagship investment of the Government’s are about how we, our partners and our Industrial Strategy Challenge Fund, to communities are set up for the future. underpin and support the growth of the UK space sector. This year we delivered the SPICE instrument for Solar Orbiter. When launched, this I invite you to read about a few of our European Space Agency (ESA) mission will highlights from 2017 and to join me in enable a wealth of new solar discoveries looking to the future and the opportunities which will help us understand and mitigate that they bring for science, innovation and the effects of space weather on our planet. our society. Scientists, businesses and policy makers’ access to reliable weather and climate data has been assured by our technology teams’ roles in instruments for both Sentinel-3 and MetOp-SG. -
Downloaded 09/29/21 08:00 AM UTC
AUGUST 2008 NOWAKETAL. 1357 Detection of Fog and Low Cloud Boundaries with Ground-Based Remote Sensing Systems DANIELA NOWAK Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland DOMINIQUE RUFFIEUX Federal Office of Meteorology and Climatology, MeteoSwiss, Payerne, Switzerland JUDITH L. AGNEW STFC Rutherford Appleton Laboratory, Chilton, Didcot, United Kingdom LAURENT VUILLEUMIER Federal Office of Meteorology and Climatology, MeteoSwiss, Payerne, Switzerland (Manuscript received 13 December 2006, in final form 3 August 2007) ABSTRACT The performance of the boundary determination of fog and low stratiform cloud layers with data from a frequency-modulated continuous-wave (FMCW) cloud radar and a Vaisala ceilometer is assessed. During wintertime stable episodes, fog and low stratiform cloud layers often occur in the Swiss Plateau, where the aerological station of Payerne, Switzerland, is located. During the international COST 720 Temperature, Humidity, and Cloud (TUC) profiling experiment in winter 2003/04, both a cloud radar and a ceilometer were operated in parallel, among other profiling instruments. Human eye observations (“synops”) and temperature and humidity profiles from radiosoundings were used as reference for the validation. In addition, two case studies were chosen to demonstrate the possibilities and limitations of such ground-based remote sensing systems in determining low clouds. In these case studies the cloud boundaries determined by ceilometer and cloud radar were furthermore compared with wind profiler signal-to-noise ratio time series. Under dry conditions, cloud-base and -top detection was possible in 59% and 69% of the cases for low stratus clouds and fog situations, respectively. When cases with any form of precipitation were included, performances were reduced with detection rates of 41% and 63%, respectively.