Andreas Reuter, in Advances in Parallel Computing, 1998 4 Parallel Database Architectures Historically, the database community distinguished three types of system architecture as platforms for parallel database systems: Shared nothing: Each processor has its own memory and its own peripherals; communicati...
A database management system, also called a DBMS, allows users to create a new database by specifying the logic structure of the data. For instance, the world of interest is represented as a collection of tables in relational DBMSs. This simple model is useful for many applications, and ...
Additionally, the diverging mathematical foundations of data processing and machine learning hinder cross-optimizations by combining these two components, thereby overlooking potential opportunities to expedite predictive pipelines. In this paper, we propose an operator fusion method based on GPU-accelerated ...
In the last decade, research on database systems has focused on GPU co-processing to accelerate query engines [33,34,35,36]. GPUs, initially intended for image processing and parallel computations of vectorised data, also allow general-purpose computations (GPGPU). In the context of machine l...
To use RDMA, parallel database systems need to choose between message-passing mechanisms or shared memory abstractions for data transfer. Message-oriented communication is cooperative: The receiver initiates the communication and specifies a location in its memory space that will be changed; then the ...
Redis(REmote DIctionary Server) is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. It provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and ...
multiprocessor computer architectures in order to build high-performance and high-availability database servers at a much lower price than equivalent mainframe computers. Note that performance was also the objective of the database machines (DBMs) in the 1970s and 1980s [42], The problem faced by...
The chapter presents the concept of unformatted databases and parallel architectures, proposed to manipulate textual databases. Databases fall into two general categories鈥攏amely, formatted and unformatted structures. Formatted database... A.R. Hurson *,L.L. Miller **,S.H. Pakzad *,... - 《...
To use RDMA, parallel database systems need to choose between message-passing mechanisms or shared memory abstractions for data transfer. Message-oriented communication is cooperative: The receiver initiates the communication and specifies a location in its memory space that will be changed; then the ...
3.4Layer 2: Data Processing TheData Processinglayer maps the operations of a data-processing application to the task-based execution model of Layer 1. Provided Functions:For each operation, such as a query on an in-memory database, Layer 2 creates a state machine as shown in Fig.2. The ...