Growing main memory capacity has fueled the development of in-memory big data
management and processing. By eliminating disk I/O bottleneck, it is now possible to support …

Scientific experiments and large-scale simulations produce massive amounts of data. Many
of these scientific datasets are arrays, and are stored in file formats such as HDF5 and …

Scan and lookup are two core operations in main memory column stores. A scan operation
scans a column and returns a result bit vector that indicates which records satisfy a filter …

Accelerating database applications using FPGAs has recently been an area of growing
interest in both academia and industry. Equi-join is one of the key database operations …

The huge amount of data enforces great pressure on the processing efficiency of database
systems. By leveraging the in-situ computing ability of emerging nonvolatile memory …

For decades, database engines have found the generic interfaces offered by the operating
systems at odds with the need for efficient utilization of hardware resources. As a result, most …

Database management systems (DBMSs) carefully optimize complex multi-join queries to
avoid expensive disk I/O. As servers today feature tens or hundreds of gigabytes of RAM, a …

Relational Aggregation is one of the major means to analyze large data sets since the
creation of the first database systems. Available hardware performance continues to grow at …

Decades of research and experiences on managing large databases and current world's
strong interests in massive data information conveyed many indexing methods to a new …

Methods and arrangements for joining data sets. There are accepted: a first data set which
forms a table in a relational database, and a second data set which forms a table in a …