In contrast to centralized systems, distributed software systems add a new layer of complexity to the already difficult problem of software design. In spite of that and for a variety of reasons, more ...

Incredibuild, an Israeli startup that provides a way for organizations to implement distributed computing architecture to speed up the processing needed for intensive tasks like software ...

The fully integrated environment supports co-simulation, debug and trace, high-speed simulation and distributed processing software over multiple SoCs (System-on-Chips) and MCUs (Microcontrollers ...

Location, Location, Location: MVA Considerations for Distributed Processing and Data Sep 19, 2022 11 min read by Kurt Bittner Independent Author Follow Pierre Pureur Experienced Software Architect ...

Stephan Ewen talks about how Apache Flink handles stateful stream processing and how to manage distributed stream processing & data driven applications efficiently with Flink's checkpoints&savepoints.

Renesas launched a new integrated development environment that allows engineers to rapidly create software for automotive ECUs with multiple devices.

Boris Kontsevoi is a technology executive, President and CEO of Intetics Inc., a global software engineering and data processing company. It’s a hot topic in the industry right now: are ...

Advantages of Distributed Data Processing. Distributed data processing is a computer-networking method in which multiple computers across different locations share computer-processing capability.

AV announces AV_Halo, a hardware-agnostic software platform unifying the company's mission-ready software tools into a single ...

Open-source software typically is developed collaboratively within a community of software programmers and distributed freely. The Linux operating system, for example, was developed this way.