Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Donghyoung Han"'
Publikováno v:
Proceedings of the 2022 International Conference on Management of Data.
Publikováno v:
Information Sciences. 480:237-260
As parallel database systems have large amounts of data to process, it is important to utilize a scalable and efficient horizontal database partitioning method. The existing partitioning methods have major drawbacks that not only cause large amounts
Publikováno v:
SIGMOD Conference
The concept of OLAP query processing is now being widely adopted in various applications. The number of complex queries containing the joins between non-unique keys (called FK-FK joins) increases in those applications. However, the existing in-memory
Publikováno v:
SIGMOD Conference
Matrix computation, in particular, matrix multiplication is time-consuming, but essentially and widely used in a large number of applications in science and industry. The existing distributed matrix multiplication methods only focus on either low com
Publikováno v:
ICDE
As the amount of data to process increases, a scalable and efficient horizontal database partitioning method becomes more important for OLAP query processing in parallel database platforms. Existing partitioning methods have a few major drawbacks suc
Publikováno v:
BigComp
Recently, the amount of array data generated by scientific observation instruments increases rapidly. The array data is usually stored in standard formats such as HDF5 and NetCDF. To support high-level queries on the array data, a number of array DBM
Publikováno v:
BigComp
Recently, a massive amount of data is generated in a wide range of scientific applications such as NASA's satellite, the large hadron collider, and large synoptic survey telescope. Most of scientific data follows the array model, and there are variou