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 ...

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 ...

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 ...

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.

Vantiq, Inc. announced that the company has been granted a U.S. patent for “deployment of an event-driven application in an IoT environment.” ...

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

From rugged aerospace platforms to ultra-efficient processors, Astute Group and its partners are advancing distributed ...

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 ...

Highlighting the role of quantum interconnects and addressing current technical and regulatory hurdles, this report anticipates future deployment trends over the next decade. Based on influencer ...