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DOME is a Dutch government-funded project between IBM and ASTRON in form of a public-private-partnership focussing on the Square Kilometre Array (SKA), the world's largest planned radio telescope. SKA will be built in Australia and South Africa. The DOME project objective is technology roadmap development that applies both to SKA and IBM. The 5-year project was started in 2012 and is co-funded by the Dutch government and IBM Research in Zürich, Switzerland.〔(DOME: IBM and ASTRON’s Exascale Computer for SKA Radio Telescope )〕〔(NLeSC signs DOME agreement with IBM and ASTRON )〕〔(IBM looks to new technologies for unprecedented data processing challenge )〕〔(From Big Bang to Big Data: ASTRON and IBM Collaborate to Explore Origins of the Universe )〕 The DOME project is focusing on three areas of computing, green computing, data and streaming and nano-photonics and partitioned into seven research projects. * P1 Algorithms & Machines - As traditional computing scaling have essentially hit a wall, a new set of methodologies and principles is needed for the design of future large scale computers. This will be an umbrella project for the other six. * P2 Access Patterns - When faced with storing petabytes of data per day, new thinking of data storage tiering and storage medium must be developed. * P3 Nano Photonics - Fiber optic communication over long distances and between systems is nothing new, but there is a lot to do for optic communications within computer systems and within the telescopes themselves. * P4 Microservers - New demands on higher computing density, higher performance per Watt, and reduced complexity of systems suggests a new kind of custom designed server * P5 Accelerators - With the flattening of general computing performance, special architectures for addressing next level of performance will be investigated for specialized tasks like signal processing and analysis. * P6 Compressive Sampling - Fundamental research into tailored signal processing and machine learning algorithms for the capture, processing, and analysis of the radio astronomy data. Compressive sensing, algebraic systems, machine learning and pattern recognition are focus areas. * P7 Real-Time Communication - Reduce the latency caused by redundant network operations at very large scale systems and optimize the utility of the communications bandwidth so that the correct data gets to the correct processing unit in real time. == P1 Algorithms & Machines == The design of computers has changed dramatically in the last decades but the old paradigms still reign. Current designs stem from single computers working on small data sets in one location. SKA will face a completely different landscape, working on an extremely large data set, collected on myriad of geographically separated locations using ens of thousands of separate computers in real time. The fundamental principles for designing such a machine will have to be reexamined. Parameters concerning power envelope, accelerator technologies, workload distribution, memory size, CPU architecture, node intercommunications, must be investigated to draw new baseline to design from.〔(ASTRON & IBM Center for Exascale Technology - Algorithms & Machines )〕 This fundamental research will work as the umbrella for the other six focus areas, help making proper decisions regarding architectural directions. A first step will be a retrospective analysis of the design of the LOFAR and MeerKAT telescopes and development of a design tool to use when designing very large and distributed computers. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「DOME project」の詳細全文を読む スポンサード リンク
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