Predictive modelling and simulation of treatments for heart disease
Predictive modelling and simulation of treatments for heart disease
批准号:
491461-2015
负责人:
Spiteri, Raymond
金额:
$1.82万
依托单位国家:
加拿大
项目类别:
Engage Grants Program
财政年份:
2015
资助国家:
加拿大
项目状态:
已结题
起止时间:
2015-01-01 至 2016-12-31
中文摘要
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英文摘要
It is an exciting time for computational scientists. By 2020, some predict we will be in the exaflop era, in which supercomputers will be some 20 times more powerful than the human brain. The enormity of these figures is rivalled only by that of the emergent opportunities for applications of this computing power. Exascale computing would allow us to tackle grand challenge problems in virtual medicine, climate change, renewable energy, advanced materials, resource recovery, and national security. These problems offer a fundamental connection between extreme computing, industrial and economic growth, and societal imperatives.
Founded in 2013, Appairy's mission is to create the next generation of supercomputing servers and supporting software/applications designed to enable the implementation of transformational technologies delivered over mobile cloud networks. This project concerns Appairy's goal to provide medical diagnostic services delivered over mobile networks to under-served markets such as India, South America, Africa, and Southeast Asia. The heart of the company is the patent-pending eHive Supercomputing server which offers more super computing capability with up to 40,000 X86 processor cores and 20,000 ARM V-8 processing cores. This brings supercomputing processing power to today's mobile networks and mobile devices, including smartphones and tablets. The eHiveTM network is a modular design, scalable in 100-core increments up to 40,800 cores.
This research is on discovering and implementing (on Appairy hardware) time-integration methods to simulate the electrical activity in the heart. We hope to achieve simulations that are fast enough to benefit clinical training and practice as well as personalized medicine. We are particularly interested in modelling blockages in the heart as well as their treatment through catheter ablation. This research aims to provide the computational breakthroughs that can ultimately lead to an improvement in the quality of life of millions of people in Canada and around the world who are affected by heart disease. Appairy Supercomputing will directly utilize the results of this research to build its software, bringing it one step closer to commercialization and clinical use.
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批准号:RGPIN-2020-04467
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资助金额:$2.99万
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依托单位:
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项目类别:Discovery Grants Program - Individual
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财政年份:2012
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依托单位:
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批准号:228090-2008
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.82万
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财政年份:2012
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负责人:Spiteri, Raymond
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依托单位:
Optimized time-stepping methods for the numerical solution of differential equations
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批准号:228090-2008
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资助金额:$1.82万
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财政年份:2011
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依托单位:
Optimized time-stepping methods for the numerical solution of differential equations
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批准号:228090-2008
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.82万
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财政年份:2010
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依托单位:
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批准号:228090-2008
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.82万
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依托单位:
国内基金
海外基金
Improving modelling of compact binary evolution.
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批准号:10903001
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项目类别:青年科学基金项目
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资助金额:20.0万元
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批准年份:2009
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负责人:史蒂芬
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依托单位: