2011 Fiscal Year Final Research Report
A Framework for Machine Learning Algorithms on the Cloud
| Project/Area Number |
22700048
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Computer system/Network
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| Research Institution | Waseda University |
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Principal Investigator |
AKIOKA Sayaka 早稲田大学, IT研究機構, 准教授 (90333533)
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| Project Period (FY) |
2010 – 2011
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| Keywords | 機械学習 / 並列分散処理 / クラウドコンピューティング |
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| Research Abstract |
This proposal originally tried to develop a framework, which enables to run machine learning algorithms in parallel on the computational cloud with the full input from the very fast and huge data source such as Twitter. However, several experiments in this project have revealed that a couple dozen CPUs in the cloud are enough to process all the inputs in a pipeline. For the higher level of the parallelism, such as the execution on GPGPUs, the drastic speed-up of the input is unavoidable.
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