Network processor design represents a complex trade-off between cost, performance and flexibility where achieving all three simultaneously has been an elusive goal. Until recently, the design ...

It is becoming clear that in many aspects of embedded networking design as well as general computer design, there is a fundamental shift in the underlying architectural paradigm — from data/event ...

The goal of data architecture is to translate business needs into data and system requirements, and to manage data and its flow through the enterprise. Many organizations today are looking to ...

A metadata-driven ETL framework using Azure Data Factory boosts scalability, flexibility, and security in integrating diverse ...

Abstract: The increased complexity and short life cycle of today's embedded systems increase the need of more aggressive methodology capable of designing systems quicker and more easily. In this paper ...

Data Protection by Design (DPbD) is a truly interdisciplinary effort that involves many stakeholders such as legal experts, requirements engineers, software architects, developers, and system ...

Wave Computing, a Silicon Valley AI startup specializing in data flow processing of Deep Neural Networks, has acquired MIPS Technologies for an undisclosed amount. Wave projects that the ...