Exploiting large-scale data analytics platforms with accelerator hardware
The volume of data being generated today across multiple application domains including scientific exploration, web search, e-commerce and medical research, has continued to grow unbounded. The value of leveraging machine learning to analyze big data has led to the growth in popularity of high-level...
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| Online Access: | http://hdl.handle.net/2047/D20294268 |
| Summary: | The volume of data being generated today across multiple application domains including scientific exploration, web search, e-commerce and medical research, has continued to grow unbounded. The value of leveraging machine learning to analyze big data has led to the growth in popularity of high-level distributed computing frameworks such as Apache Hadoop and Spark. These frameworks have significantly improved the programmability of distributed systems to accelerate big data analysis, whose workload is typically beyond the processing and storage capabilities of a single machine. |
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