Sentence examples for high-performance data processing from inspiring English sources

High-performance data processing systems typically utilize numerous servers with large amounts of memory.

Current and future space missions demand highly reliable on-board computing systems, which are capable of carrying out high-performance data processing.

The emergence of persistent memories has powered the data processing with the in-memory environment and in-memory data analytics have become an advance of high-performance data processing.

Defining the metadata meant finding a balance between detailed data requiring a highly-structured information system source and rough data available in all data repositories but not permitting high-performance data processing.

In their review, Tsai et al. [61] discuss big data analytics and related open issues, focusing on how to develop a high performance data processing platforms to efficiently analyze big data and to design an appropriate mining algorithm to extract useful knowledge from big data, in addition to presenting some research directions.

Emerging cost-effective hardware and software systems for high-performance data acquisition and processing are quite promising to the implementation of the techniques by removing most, if not all, of its existing limitations.

This aspect of big data processing is not considered a major problem anymore, due to the availability of multi-core processors, GPU computing, in-memory computing, main memory database systems, and the widespread provisioning of high-performance data centers.

An efficient parallel architecture is proposed for high-performance multimedia data processing using multiple multimedia video processors (MVP; TMS320C80), which are fully programmable general digital signal processors (DSP).

The high performance, data-parallel architecture of modern graphical processing units (GPUs) can reduce computational times by orders of magnitude.

The FX35 features a fourth-generation high-performance image processing LSI, the Venus Engine IV.

Oracle has integrated Cloudera's distribution including Apache Hadoop and Cloudera Manager software into its Big Data Appliance, a just launched engineered system designed to provide high performance and scalable data processing environments for Big Data.