Utilizing NVDIMM to alleviate the I/O performance gap for big data workloads.
Zili ShaoPublished in: VLSI-DAT (2017)
Keyphrases
- big data
- data processing
- data management
- database workloads
- cloud computing
- high volume
- data analysis
- big data analytics
- database systems
- knowledge discovery
- data intensive
- unstructured data
- business intelligence
- social media
- data visualization
- massive data
- data science
- vast amounts of data
- data warehousing
- computer systems
- machine learning
- ibm power processor
- health informatics
- buffer pool
- predictive modeling
- data transfer