Integrated data analysis (IDA) pipelines---that combine data management (DM) and query
processing, high-performance computing (HPC), and machine learning (ML) training and …

Multi-core and highly connected architectures have become ubiquitous, and this has
brought renewed interest in language-based approaches to the exploitation of parallelism …

The enormous quantity of data produced every day together with advances in data analytics
has led to a proliferation of data management and analysis systems. Typically, these …

We study the design and analysis of parallel join algorithms in a topology-aware
computational model. In this model, the network is modeled as a directed graph, where each …

Most of the prior work in massively parallel data processing assumes homogeneity, ie, every
computing unit has the same computational capability and can communicate with every …

Cloud data centers are evolving fast. At the same time, today's large-scale data analytics
applications require non-trivial performance tuning that is often specific to the applications …

Abstract The topology-aware Massively Parallel Computation (MPC) model is proposed and
studied recently, which enhances the classical MPC model by the awareness of network …

Data management has seen rapid evolution during the last years, influenced by factors such
as data explosion, the prevalence of machine and deep learning, the slowdown of Moore's …

In the research area of parallel computation, the communication cost has been extensively
studied, while the IO cost has been neglected. For big data computation, the assumption that …

Construction of the college students' course management information system based on data
center and parallel model is discussed in this research. First, this research work continues to …