Making Watson fast

IBM Journal of Research and Development(2012)

引用 42|浏览17
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摘要
IBM Watson™ is a system created to demonstrate DeepQA technology by competing against human champions in a question-answering game designed for people. The DeepQA architecture was designed to be massively parallel, with an expectation that low latency response times could be achieved by doing parallel computation on many computers. This paper describes how a large set of deep natural-language processing programs were integrated into a single application, scaled out across thousands of central processing unit cores, and optimized to run fast enough to compete in live Jeopardy!™ games.
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关键词
deep natural-language processing program,large set,deepqa architecture,human champion,ibm watson,deepqa technology,parallel computation,low latency response time,live jeopardy,central processing unit core
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