With a data flow architecture, I/O can be transparently offloaded to I/O processors inserted into the processing pipeline. These processors behave as a seamless extension to the processing pipeline.

But then you can customize the architecture of the core to support data flow operations with the tight integration between the comms links and the processor.” Imperas CEO Simon Davidmann agreed, ...

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 ...

The strategic combination of Wave’s AI data-flow architecture with MIPS classic CPU architecture is part of a new computing paradigm.

As in all real world situations, it is not an either/or situation, event control and data processing on one side and to something totally untried, outside the university and reach environment, such as ...

Edge databases can empower edge data to bring computing and data storage close to data sources, toward sustainability and reduced waste.

Today's chips execute instructions in an instruction "pipeline" that is fixed, he observed, "whereas in this reconfigurable data-flow architecture, it's not instructions that are flowing down the ...