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 ...

Async I/O and UUID v7 highlights of the September release, though some SQL features are delayed Users and developers can ...

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 ...

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 is developing a “ Distributed Processing Software for Multi-devices ” (Multi-Device Framework) to solve the above issues (figure 2). This software can maximize the performance of hardware by ...

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

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

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

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 ...