Quantum computers promise polynomial or exponential speed-up in solving certain problems compared to classical computers. However, in practical use, there are currently a number of fundamental technical challenges. One of them concerns the loading ...

Data Scientists deal with a wide variety of file data formats and data representations. Probably the most difficult to handle are custom data formats that liberally define their own particular flat or nested structure with multiple custom delimiters, ...

Graph partitioning is commonly used for dividing graph data for parallel processing. While they achieve good performance for the traditional graph processing algorithms, the existing graph partitioning methods are unsatisfactory for data-parallel GNN ...

The existing Graph Neural Network (GNN) systems adopt graph partitioning to divide the graph data for multi-GPU training. Although they support large graphs, we find that the existing techniques lead to large data loading overhead. In this work, we for ...

Traditional databases incur a significant data-to-query delay due to the requirement to load data inside the system before querying. Since this is not acceptable in many domains generating massive amounts of raw data (e.g., genomics), databases are ...

Traditional databases incur a significant data-to-query delay due to the requirement to load data inside the system before querying. Since this is not acceptable in many domains generating massive amounts of raw data, e.g., genomics, databases are ...

To benchmark and rate a data store, one must repeat experiments that impose a different amount of load on the data store. Workloads that modify the benchmark database may require the same database to be loaded repeatedly. This may constitute a ...

With rapid development of the Internet and communication technology, massive text data has been accumulated in Internet, including text data on network pages, emails, instant messengers and etc. Requirements on increasing data volume, real-time data-...

Agent-based grid data loading method aims at integrating heterogeneous hospitals’ information systems into a medical information exchange platform based on grid middleware. It collects distributed data sets for decision support system, which makes data ...

In this brief contribution, an efficient pipeline architecture is proposed for the realization of the Prime Factor Algorithm (PFA) for digital signal processing. By using the extended diagonal feature of the Chinese Remainder Theorem (CRT) mapping, we ...