When designing an effective enterprise data strategy, organizations often choose between a top-down and a bottom-up approach. Each method has its unique advantages and is suitable for various ...

This first series of articles describe foundational steps that enable agile data ... develop a high level data flow architecture that is inherently flexible and leverages repeatable design patterns.

Once implementation decisions are committed in the form of an RTL model, there is no turning ... provide a mechanism to specify high level decisions on how the design communicates with the outside ...

To improve the design flow effectiveness, it is necessary to raise the power estimator abstraction level [Rabaey1996]. In this paper, a methodology based on measurements is proposed for modeling the ...

“Processor design ... relies on the high-level description being fully verified. Otherwise, you face a garbage in- garbage out situation. Unfortunately, the tools for doing that are somewhat nascent ...

The National Policing Capabilities Unit came to ACE to explore a high-level operating model for how an in-house AI lab could ...

As a neural-network model ... data types, which exactly match the behavior of the design that will be synthesized, but it runs thousands of times faster. With HLS, running the high-level algorithm ...

Talend is also positioning the capabilities of Talend Fall ’21 as an opportunity for its systems integrator and reseller partners to offer higher level data solutions and services.