Digital signal processors (DSPs) represent one of the fastest growing segments of the embedded world. Yet despite their ubiquity, DSPs present difficult challenges for programmers. In particular, ...

Migrating signal-processing algorithms from floating- to fixed-point is often necessary to meet various design constraints, including real-time performance, cost and power dissipation. The migration ...

To implement algorithms, digital-signal-processing (DSP) developers have had to rely upon design flows that use manual approaches. Aside from being time consuming, the manual process can invite errors ...

Cutting to the chase, we find that 17.5% floating exposure acts to minimise interest rate volatility when compared with a reference of 10yr Fixed. Interest rate costs are also reduced, from 4.5% to ...

AI/ML training traditionally has been performed using floating point data formats, primarily because that is what was available. But this usually isn’t a viable option for inference on the edge, where ...