Optimisation for next generation machine learning

下一代机器学习的优化

• 批准号: FT110100305
• 负责人: Asst Prof Vishwanathan Swaminathan
• 金额: --
• 依托单位: The Australian National University
• 依托单位国家: 澳大利亚
• 项目类别: ARC Future Fellowships
• 财政年份: 2011
• 资助国家: 澳大利亚
• 起止时间: 2011-07-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/FT110100305
• 关键词: Optimisation; next; generation; machine; learning

As more and more data are being collected, it is important to build intelligent systems which will can analyse these data efficiently. This project will take design and analyse new algorithms which take advantage of emerging paradigms in hardware such as multicore processors, graphic processing units (GPU), and cluster computers to achieve this goal.

随着越来越多的数据被收集，构建能够有效分析这些数据的智能系统非常重要。该项目将设计和分析新算法，利用多核处理器、图形处理单元（GPU）和集群计算机等硬件中的新兴范例来实现这一目标。