Paradata: Databases on Parallel Computers

新硬件架构的发展鼓励了 开发数据库系统技术， 这种更大的能力。 并行计算机有望 以比现有技术更低的成本增加计算机吞吐量， 类似的单处理器系统 然而，这些计算机 要求将在其上运行的程序转换为 利用这种并行性。 日益增长的需求 数据库系统上的事务处理率， 这些数据库系统处理的大量数据需要 研究数据库系统如何有效地利用 并行计算机 这项研究将探讨新的数据库算法如何 可以通过使用媒体来实现相当大的加速 多指令流、多数据的粒度并行 流多指令流多数据流 电脑

The development of new hardware architectures encourages the development of database system technology to take advantage of this greater capability. Parallel computers hold the promise of increasing the computer throughput at lower cost than the comparable single processor system. However, these computers require that the programs that run on them be converted to exploit this parallelism. The need for ever increasing transaction rates on database systems, as well as increasing volumes of data processed by these database systems, requires research into how database systems can make effective use of parallel computer. This research will investigate how new database algorithms can achieve considerable speedup through the use of medium grained parallelism on multiple instruction stream, multiple data stream multiple instruction stream, multiple data stream (MIMD) computers.